tch_plus/wrappers/

tensor_fallible_generated.rs

/* THIS FILE IS AUTOMATICALLY GENERATED, DO NOT EDIT BY HAND! */
#![allow(clippy::all)]
use crate::{Device, Kind, Layout, Scalar, TchError, Tensor};
use std::borrow::Borrow;
use std::convert::Into;
use torch_sys_plus::c_generated::*;
use torch_sys_plus::*;

fn ptr_list_opt<T: Borrow<Tensor>>(l: &[Option<T>]) -> Vec<*mut C_tensor> {
    l.iter().map(|x| x.as_ref().map_or(std::ptr::null_mut(), |x| x.borrow().c_tensor)).collect()
}

fn ptr_list<T: Borrow<Tensor>>(l: &[T]) -> Vec<*mut C_tensor> {
    l.iter().map(|x| x.borrow().c_tensor).collect()
}

impl Tensor {
    pub fn f_internal_and_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___and__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_and_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___and__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_iand_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___iand__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_iand_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___iand__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ilshift_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___ilshift__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ilshift_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___ilshift__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ior_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___ior__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ior_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___ior__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_irshift_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___irshift__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_irshift_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___irshift__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ixor_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___ixor__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ixor_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___ixor__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_lshift_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___lshift__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_lshift_scalar_out_<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___lshift__scalar_out_(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_lshift_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___lshift__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_lshift_tensor_out_(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___lshift__tensor_out_(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_or_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___or__(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_or_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___or__tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_rshift_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___rshift__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_rshift_scalar_out_<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___rshift__scalar_out_(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_rshift_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___rshift__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_rshift_tensor_out_(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___rshift__tensor_out_(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_xor_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___xor__(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_xor_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg___xor__tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool2d(
        &self,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool2d_backward(
        &self,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool2d_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool2d_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool3d(
        &self,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool3d_backward(
        &self,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool3d_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool3d_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_adaptive_avg_pool3d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__adaptive_avg_pool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_batch_dim(&self, batch_dim: i64, level: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_batch_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            batch_dim,
            level
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_relu(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_relu(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_relu_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_relu_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_relu_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_relu_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_relu_scalar<S: Into<Scalar>>(
        &self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_relu_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_relu_scalar_<S: Into<Scalar>>(
        &mut self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_relu_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_add_relu_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__add_relu_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_addmm_activation(
        &self,
        mat1: &Tensor,
        mat2: &Tensor,
        use_gelu: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__addmm_activation(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor,
            if use_gelu { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_addmm_activation_out(
        &self,
        out: &Tensor,
        mat1: &Tensor,
        mat2: &Tensor,
        use_gelu: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__addmm_activation_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor,
            if use_gelu { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_aminmax(&self) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__aminmax(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_aminmax_dim(
        &self,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__aminmax_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_aminmax_dim_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__aminmax_dim_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_aminmax_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__aminmax_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_amp_update_scale(
        &self,
        growth_tracker: &Tensor,
        found_inf: &Tensor,
        scale_growth_factor: f64,
        scale_backoff_factor: f64,
        growth_interval: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__amp_update_scale(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            growth_tracker.c_tensor,
            found_inf.c_tensor,
            scale_growth_factor,
            scale_backoff_factor,
            growth_interval
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_amp_update_scale_(
        &mut self,
        growth_tracker: &Tensor,
        found_inf: &Tensor,
        scale_growth_factor: f64,
        scale_backoff_factor: f64,
        growth_interval: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__amp_update_scale_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            growth_tracker.c_tensor,
            found_inf.c_tensor,
            scale_growth_factor,
            scale_backoff_factor,
            growth_interval
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_amp_update_scale_out(
        &self,
        out: &Tensor,
        growth_tracker: &Tensor,
        found_inf: &Tensor,
        scale_growth_factor: f64,
        scale_backoff_factor: f64,
        growth_interval: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__amp_update_scale_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            growth_tracker.c_tensor,
            found_inf.c_tensor,
            scale_growth_factor,
            scale_backoff_factor,
            growth_interval
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_assert_scalar<S: Into<Scalar>>(
        self_scalar: S,
        assert_msg: &str,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__assert_scalar(
            self_scalar.into().c_scalar,
            assert_msg.as_ptr(),
            assert_msg.len() as i32
        ));
        Ok(())
    }

    pub fn f_internal_assert_tensor_metadata(
        a: &Tensor,
        size: impl IntListOption,
        stride: impl IntListOption,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__assert_tensor_metadata(
            a.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(())
    }

    pub fn f_internal_autocast_to_full_precision(
        &self,
        cuda_enabled: bool,
        cpu_enabled: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__autocast_to_full_precision(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if cuda_enabled { 1 } else { 0 },
            if cpu_enabled { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_autocast_to_reduced_precision(
        &self,
        cuda_enabled: bool,
        cpu_enabled: bool,
        cuda_dtype: Kind,
        cpu_dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__autocast_to_reduced_precision(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if cuda_enabled { 1 } else { 0 },
            if cpu_enabled { 1 } else { 0 },
            cuda_dtype.c_int(),
            cpu_dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_batch_norm_no_update<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__batch_norm_no_update(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_batch_norm_no_update_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__batch_norm_no_update_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_batch_norm_with_update<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__batch_norm_with_update(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_batch_norm_with_update_functional<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 6];
        unsafe_torch_err!(atg__batch_norm_with_update_functional(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
            Tensor { c_tensor: c_tensors[5] },
        ))
    }

    pub fn f_internal_batch_norm_with_update_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        save_mean: &Tensor,
        save_invstd: &Tensor,
        reserve: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__batch_norm_with_update_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            save_mean.c_tensor,
            save_invstd.c_tensor,
            reserve.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_cast_byte(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_byte(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_char(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_char(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_double(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_double(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_float(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_float(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_half(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_half(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_int(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_long(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_long(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cast_short(&self, non_blocking: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cast_short(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cdist_backward(
        grad: &Tensor,
        x1: &Tensor,
        x2: &Tensor,
        p: f64,
        cdist: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cdist_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            x1.c_tensor,
            x2.c_tensor,
            p,
            cdist.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cdist_backward_out(
        out: &Tensor,
        grad: &Tensor,
        x1: &Tensor,
        x2: &Tensor,
        p: f64,
        cdist: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cdist_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            x1.c_tensor,
            x2.c_tensor,
            p,
            cdist.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cholesky_solve_helper(
        &self,
        a: &Tensor,
        upper: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cholesky_solve_helper(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            a.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cholesky_solve_helper_out(
        &self,
        out: &Tensor,
        a: &Tensor,
        upper: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cholesky_solve_helper_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            a.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_chunk_cat<T: Borrow<Tensor>>(
        tensors: &[T],
        dim: i64,
        num_chunks: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__chunk_cat(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim,
            num_chunks
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_chunk_cat_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
        dim: i64,
        num_chunks: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__chunk_cat_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim,
            num_chunks
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_coalesce(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__coalesce(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_coalesce_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__coalesce_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_coalesced(&self, coalesced: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__coalesced(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_coalesced_(&mut self, coalesced: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__coalesced_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_coalesced_out(
        &self,
        out: &Tensor,
        coalesced: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__coalesced_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_compute_linear_combination(
        &self,
        coefficients: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__compute_linear_combination(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            coefficients.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_compute_linear_combination_out(
        &self,
        out: &Tensor,
        coefficients: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__compute_linear_combination_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            coefficients.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conj(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conj(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conj_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conj_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conj_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conj_copy_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conj_physical(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conj_physical(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conj_physical_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conj_physical_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conv_depthwise2d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conv_depthwise2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_conv_depthwise2d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__conv_depthwise2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convert_indices_from_coo_to_csr(
        &self,
        size: i64,
        out_int32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convert_indices_from_coo_to_csr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size,
            if out_int32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convert_indices_from_coo_to_csr_out(
        &self,
        out: &Tensor,
        size: i64,
        out_int32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convert_indices_from_coo_to_csr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size,
            if out_int32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convert_indices_from_csr_to_coo(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        out_int32: bool,
        transpose: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convert_indices_from_csr_to_coo(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            if out_int32 { 1 } else { 0 },
            if transpose { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convert_indices_from_csr_to_coo_out(
        out: &Tensor,
        crow_indices: &Tensor,
        col_indices: &Tensor,
        out_int32: bool,
        transpose: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convert_indices_from_csr_to_coo_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            crow_indices.c_tensor,
            col_indices.c_tensor,
            if out_int32 { 1 } else { 0 },
            if transpose { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convert_weight_to_int4pack(
        &self,
        innerktiles: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convert_weight_to_int4pack(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            innerktiles
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        cudnn_enabled: bool,
        allow_tf32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if cudnn_enabled { 1 } else { 0 },
            if allow_tf32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convolution_deprecated<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        cudnn_enabled: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convolution_deprecated(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if cudnn_enabled { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convolution_mode<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: &str,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convolution_mode(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len() as i32,
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        cudnn_enabled: bool,
        allow_tf32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if cudnn_enabled { 1 } else { 0 },
            if allow_tf32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_copy_from(
        &self,
        dst: &Tensor,
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__copy_from(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dst.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_copy_from_and_resize(&self, dst: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__copy_from_and_resize(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dst.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_copy_from_and_resize_out(
        &self,
        out: &Tensor,
        dst: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__copy_from_and_resize_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dst.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_copy_from_out(
        &self,
        out: &Tensor,
        dst: &Tensor,
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__copy_from_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dst.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cslt_compress(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cslt_compress(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cslt_sparse_mm<T: Borrow<Tensor>>(
        compressed_a: &Tensor,
        dense_b: &Tensor,
        bias: Option<T>,
        alpha: Option<T>,
        out_dtype: impl Into<Option<Kind>>,
        transpose_result: bool,
        alg_id: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cslt_sparse_mm(
            c_tensors.as_mut_ptr(),
            compressed_a.c_tensor,
            dense_b.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            alpha.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            out_dtype.into().map_or(-1, |s| s.c_int()),
            if transpose_result { 1 } else { 0 },
            alg_id
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cslt_sparse_mm_search<T: Borrow<Tensor>>(
        compressed_a: &Tensor,
        dense_b: &Tensor,
        bias: Option<T>,
        alpha: Option<T>,
        out_dtype: impl Into<Option<Kind>>,
        transpose_result: bool,
    ) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(
            return_ = atg__cslt_sparse_mm_search(
                compressed_a.c_tensor,
                dense_b.c_tensor,
                bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
                alpha.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
                out_dtype.into().map_or(-1, |s| s.c_int()),
                if transpose_result { 1 } else { 0 }
            )
        );
        Ok(return_)
    }

    pub fn f_internal_ctc_loss(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__ctc_loss(
            c_tensors.as_mut_ptr(),
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_ctc_loss_backward(
        grad: &Tensor,
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        neg_log_likelihood: &Tensor,
        log_alpha: &Tensor,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__ctc_loss_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            neg_log_likelihood.c_tensor,
            log_alpha.c_tensor,
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ctc_loss_backward_out(
        out: &Tensor,
        grad: &Tensor,
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        neg_log_likelihood: &Tensor,
        log_alpha: &Tensor,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__ctc_loss_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            neg_log_likelihood.c_tensor,
            log_alpha.c_tensor,
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ctc_loss_backward_tensor(
        grad: &Tensor,
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: &Tensor,
        target_lengths: &Tensor,
        neg_log_likelihood: &Tensor,
        log_alpha: &Tensor,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__ctc_loss_backward_tensor(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.c_tensor,
            target_lengths.c_tensor,
            neg_log_likelihood.c_tensor,
            log_alpha.c_tensor,
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_ctc_loss_out(
        out0: &Tensor,
        out1: &Tensor,
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__ctc_loss_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_ctc_loss_tensor(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: &Tensor,
        target_lengths: &Tensor,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__ctc_loss_tensor(
            c_tensors.as_mut_ptr(),
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.c_tensor,
            target_lengths.c_tensor,
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_ctc_loss_tensor_out(
        out0: &Tensor,
        out1: &Tensor,
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: &Tensor,
        target_lengths: &Tensor,
        blank: i64,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__ctc_loss_tensor_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.c_tensor,
            target_lengths.c_tensor,
            blank,
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_cudnn_ctc_loss(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        blank: i64,
        deterministic: bool,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__cudnn_ctc_loss(
            c_tensors.as_mut_ptr(),
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            blank,
            if deterministic { 1 } else { 0 },
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_cudnn_ctc_loss_out(
        out0: &Tensor,
        out1: &Tensor,
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        blank: i64,
        deterministic: bool,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__cudnn_ctc_loss_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            blank,
            if deterministic { 1 } else { 0 },
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_cudnn_ctc_loss_tensor(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: &Tensor,
        target_lengths: &Tensor,
        blank: i64,
        deterministic: bool,
        zero_infinity: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__cudnn_ctc_loss_tensor(
            c_tensors.as_mut_ptr(),
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.c_tensor,
            target_lengths.c_tensor,
            blank,
            if deterministic { 1 } else { 0 },
            if zero_infinity { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_cudnn_init_dropout_state(
        dropout: f64,
        train: bool,
        dropout_seed: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cudnn_init_dropout_state(
            c_tensors.as_mut_ptr(),
            dropout,
            if train { 1 } else { 0 },
            dropout_seed,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cudnn_init_dropout_state_out(
        out: &Tensor,
        dropout: f64,
        train: bool,
        dropout_seed: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cudnn_init_dropout_state_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            dropout,
            if train { 1 } else { 0 },
            dropout_seed
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cudnn_rnn<T: Borrow<Tensor>>(
        &self,
        weight: &[T],
        weight_stride0: i64,
        weight_buf: Option<T>,
        hx: &Tensor,
        cx: Option<T>,
        mode: i64,
        hidden_size: i64,
        proj_size: i64,
        num_layers: i64,
        batch_first: bool,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_sizes: impl IntList,
        dropout_state: Option<T>,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 5];
        unsafe_torch_err!(atg__cudnn_rnn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(weight).as_ptr(),
            weight.len() as i32,
            weight_stride0,
            weight_buf.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            hx.c_tensor,
            cx.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mode,
            hidden_size,
            proj_size,
            num_layers,
            if batch_first { 1 } else { 0 },
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            dropout_state.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
        ))
    }

    pub fn f_internal_cudnn_rnn_flatten_weight<T: Borrow<Tensor>>(
        weight_arr: &[T],
        weight_stride0: i64,
        input_size: i64,
        mode: i64,
        hidden_size: i64,
        proj_size: i64,
        num_layers: i64,
        batch_first: bool,
        bidirectional: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cudnn_rnn_flatten_weight(
            c_tensors.as_mut_ptr(),
            ptr_list(weight_arr).as_ptr(),
            weight_arr.len() as i32,
            weight_stride0,
            input_size,
            mode,
            hidden_size,
            proj_size,
            num_layers,
            if batch_first { 1 } else { 0 },
            if bidirectional { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cudnn_rnn_flatten_weight_out<T: Borrow<Tensor>>(
        out: &Tensor,
        weight_arr: &[T],
        weight_stride0: i64,
        input_size: i64,
        mode: i64,
        hidden_size: i64,
        proj_size: i64,
        num_layers: i64,
        batch_first: bool,
        bidirectional: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__cudnn_rnn_flatten_weight_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(weight_arr).as_ptr(),
            weight_arr.len() as i32,
            weight_stride0,
            input_size,
            mode,
            hidden_size,
            proj_size,
            num_layers,
            if batch_first { 1 } else { 0 },
            if bidirectional { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_cudnn_rnn_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        out4: &Tensor,
        weight: &[T],
        weight_stride0: i64,
        weight_buf: Option<T>,
        hx: &Tensor,
        cx: Option<T>,
        mode: i64,
        hidden_size: i64,
        proj_size: i64,
        num_layers: i64,
        batch_first: bool,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_sizes: impl IntList,
        dropout_state: Option<T>,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 5];
        unsafe_torch_err!(atg__cudnn_rnn_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            out4.c_tensor,
            self.c_tensor,
            ptr_list(weight).as_ptr(),
            weight.len() as i32,
            weight_stride0,
            weight_buf.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            hx.c_tensor,
            cx.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mode,
            hidden_size,
            proj_size,
            num_layers,
            if batch_first { 1 } else { 0 },
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            dropout_state.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
        ))
    }

    pub fn f_internal_debug_has_internal_overlap(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__debug_has_internal_overlap(self.c_tensor));
        Ok(return_)
    }

    pub fn f_internal_dim_arange(like: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__dim_arange(c_tensors.as_mut_ptr(), like.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_dimi(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__dimi(self.c_tensor));
        Ok(return_)
    }

    pub fn f_internal_dimv(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__dimv(self.c_tensor));
        Ok(return_)
    }

    pub fn f_internal_dirichlet_grad(
        x: &Tensor,
        alpha: &Tensor,
        total: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__dirichlet_grad(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            alpha.c_tensor,
            total.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_dirichlet_grad_out(
        out: &Tensor,
        x: &Tensor,
        alpha: &Tensor,
        total: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__dirichlet_grad_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            alpha.c_tensor,
            total.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_efficient_attention_backward<T: Borrow<Tensor>>(
        grad_out_: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        bias: Option<T>,
        out: &Tensor,
        cu_seqlens_q: Option<T>,
        cu_seqlens_k: Option<T>,
        max_seqlen_q: i64,
        max_seqlen_k: i64,
        logsumexp: &Tensor,
        dropout_p: f64,
        philox_seed: &Tensor,
        philox_offset: &Tensor,
        custom_mask_type: i64,
        bias_requires_grad: bool,
        scale: impl Into<Option<f64>>,
        num_splits_key: impl Into<Option<i64>>,
        window_size: impl Into<Option<i64>>,
        shared_storage_dqdkdv: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let scale = scale.into();
        let num_splits_key = num_splits_key.into();
        let window_size = window_size.into();
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__efficient_attention_backward(
            c_tensors.as_mut_ptr(),
            grad_out_.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            out.c_tensor,
            cu_seqlens_q.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            cu_seqlens_k.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max_seqlen_q,
            max_seqlen_k,
            logsumexp.c_tensor,
            dropout_p,
            philox_seed.c_tensor,
            philox_offset.c_tensor,
            custom_mask_type,
            if bias_requires_grad { 1 } else { 0 },
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8,
            num_splits_key.unwrap_or(0i64),
            num_splits_key.is_none() as i8,
            window_size.unwrap_or(0i64),
            window_size.is_none() as i8,
            if shared_storage_dqdkdv { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_efficientzerotensor(
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__efficientzerotensor(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_efficientzerotensor_out(
        out: &Tensor,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__efficientzerotensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_embedding_bag<T: Borrow<Tensor>>(
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        include_last_offset: bool,
        padding_idx: i64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__embedding_bag(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if include_last_offset { 1 } else { 0 },
            padding_idx
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_embedding_bag_backward<T: Borrow<Tensor>>(
        grad: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        offset2bag: &Tensor,
        bag_size: &Tensor,
        maximum_indices: &Tensor,
        num_weights: i64,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        padding_idx: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__embedding_bag_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            offset2bag.c_tensor,
            bag_size.c_tensor,
            maximum_indices.c_tensor,
            num_weights,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding_idx
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_embedding_bag_dense_backward<T: Borrow<Tensor>>(
        grad: &Tensor,
        indices: &Tensor,
        offset2bag: &Tensor,
        bag_size: &Tensor,
        maximum_indices: &Tensor,
        num_weights: i64,
        scale_grad_by_freq: bool,
        mode: i64,
        per_sample_weights: Option<T>,
        padding_idx: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__embedding_bag_dense_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            indices.c_tensor,
            offset2bag.c_tensor,
            bag_size.c_tensor,
            maximum_indices.c_tensor,
            num_weights,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding_idx
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_embedding_bag_dense_backward_out<T: Borrow<Tensor>>(
        out: &Tensor,
        grad: &Tensor,
        indices: &Tensor,
        offset2bag: &Tensor,
        bag_size: &Tensor,
        maximum_indices: &Tensor,
        num_weights: i64,
        scale_grad_by_freq: bool,
        mode: i64,
        per_sample_weights: Option<T>,
        padding_idx: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__embedding_bag_dense_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            indices.c_tensor,
            offset2bag.c_tensor,
            bag_size.c_tensor,
            maximum_indices.c_tensor,
            num_weights,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding_idx
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_embedding_bag_forward_only<T: Borrow<Tensor>>(
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        include_last_offset: bool,
        padding_idx: i64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__embedding_bag_forward_only(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if include_last_offset { 1 } else { 0 },
            padding_idx
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_embedding_bag_forward_only_out<T: Borrow<Tensor>>(
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        include_last_offset: bool,
        padding_idx: i64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__embedding_bag_forward_only_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if include_last_offset { 1 } else { 0 },
            padding_idx
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_embedding_bag_out<T: Borrow<Tensor>>(
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        include_last_offset: bool,
        padding_idx: i64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__embedding_bag_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if include_last_offset { 1 } else { 0 },
            padding_idx
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_embedding_bag_per_sample_weights_backward(
        grad: &Tensor,
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        offset2bag: &Tensor,
        mode: i64,
        padding_idx: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__embedding_bag_per_sample_weights_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            offset2bag.c_tensor,
            mode,
            padding_idx
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_embedding_bag_per_sample_weights_backward_out(
        out: &Tensor,
        grad: &Tensor,
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        offset2bag: &Tensor,
        mode: i64,
        padding_idx: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__embedding_bag_per_sample_weights_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            offset2bag.c_tensor,
            mode,
            padding_idx
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_embedding_bag_sparse_backward<T: Borrow<Tensor>>(
        grad: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        offset2bag: &Tensor,
        bag_size: &Tensor,
        num_weights: i64,
        scale_grad_by_freq: bool,
        mode: i64,
        per_sample_weights: Option<T>,
        padding_idx: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__embedding_bag_sparse_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            offset2bag.c_tensor,
            bag_size.c_tensor,
            num_weights,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding_idx
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_empty_affine_quantized(
        size: impl IntList,
        options: (Kind, Device),
        scale: f64,
        zero_point: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__empty_affine_quantized(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int(),
            scale,
            zero_point
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_empty_affine_quantized_out(
        out: &Tensor,
        size: impl IntList,
        scale: f64,
        zero_point: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__empty_affine_quantized_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            scale,
            zero_point
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_empty_per_channel_affine_quantized(
        size: impl IntList,
        scales: &Tensor,
        zero_points: &Tensor,
        axis: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__empty_per_channel_affine_quantized(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            scales.c_tensor,
            zero_points.c_tensor,
            axis,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_empty_per_channel_affine_quantized_out(
        out: &Tensor,
        size: impl IntList,
        scales: &Tensor,
        zero_points: &Tensor,
        axis: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__empty_per_channel_affine_quantized_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            scales.c_tensor,
            zero_points.c_tensor,
            axis
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_euclidean_dist(x1: &Tensor, x2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__euclidean_dist(c_tensors.as_mut_ptr(), x1.c_tensor, x2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_euclidean_dist_out(
        out: &Tensor,
        x1: &Tensor,
        x2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__euclidean_dist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x1.c_tensor,
            x2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fake_quantize_learnable_per_channel_affine(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
        quant_min: i64,
        quant_max: i64,
        grad_factor: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fake_quantize_learnable_per_channel_affine(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis,
            quant_min,
            quant_max,
            grad_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fake_quantize_learnable_per_channel_affine_backward(
        &self,
        grad: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
        quant_min: i64,
        quant_max: i64,
        grad_factor: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__fake_quantize_learnable_per_channel_affine_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis,
            quant_min,
            quant_max,
            grad_factor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_fake_quantize_learnable_per_channel_affine_out(
        &self,
        out: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
        quant_min: i64,
        quant_max: i64,
        grad_factor: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fake_quantize_learnable_per_channel_affine_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis,
            quant_min,
            quant_max,
            grad_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fake_quantize_learnable_per_tensor_affine(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        quant_min: i64,
        quant_max: i64,
        grad_factor: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fake_quantize_learnable_per_tensor_affine(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            quant_min,
            quant_max,
            grad_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fake_quantize_learnable_per_tensor_affine_backward(
        &self,
        grad: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        quant_min: i64,
        quant_max: i64,
        grad_factor: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__fake_quantize_learnable_per_tensor_affine_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            quant_min,
            quant_max,
            grad_factor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_fake_quantize_learnable_per_tensor_affine_out(
        &self,
        out: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        quant_min: i64,
        quant_max: i64,
        grad_factor: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fake_quantize_learnable_per_tensor_affine_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            quant_min,
            quant_max,
            grad_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fake_quantize_per_tensor_affine_cachemask_tensor_qparams(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        fake_quant_enabled: &Tensor,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__fake_quantize_per_tensor_affine_cachemask_tensor_qparams(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            fake_quant_enabled.c_tensor,
            quant_min,
            quant_max
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        fake_quant_enabled: &Tensor,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            fake_quant_enabled.c_tensor,
            quant_min,
            quant_max
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_fft_c2c(
        &self,
        dim: impl IntList,
        normalization: i64,
        forward: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fft_c2c(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            normalization,
            if forward { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fft_c2c_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        normalization: i64,
        forward: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fft_c2c_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            normalization,
            if forward { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fft_c2r(
        &self,
        dim: impl IntList,
        normalization: i64,
        last_dim_size: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fft_c2r(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            normalization,
            last_dim_size
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fft_c2r_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        normalization: i64,
        last_dim_size: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fft_c2r_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            normalization,
            last_dim_size
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fft_r2c(
        &self,
        dim: impl IntList,
        normalization: i64,
        onesided: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fft_r2c(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            normalization,
            if onesided { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fft_r2c_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        normalization: i64,
        onesided: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fft_r2c_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            normalization,
            if onesided { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fill_mem_eff_dropout_mask_(
        &mut self,
        dropout_p: f64,
        seed: i64,
        offset: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fill_mem_eff_dropout_mask_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dropout_p,
            seed,
            offset
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_flash_attention_backward(
        grad_out: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        out: &Tensor,
        logsumexp: &Tensor,
        cum_seq_q: &Tensor,
        cum_seq_k: &Tensor,
        max_q: i64,
        max_k: i64,
        dropout_p: f64,
        is_causal: bool,
        philox_seed: &Tensor,
        philox_offset: &Tensor,
        scale: impl Into<Option<f64>>,
        window_size_left: impl Into<Option<i64>>,
        window_size_right: impl Into<Option<i64>>,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let scale = scale.into();
        let window_size_left = window_size_left.into();
        let window_size_right = window_size_right.into();
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__flash_attention_backward(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            out.c_tensor,
            logsumexp.c_tensor,
            cum_seq_q.c_tensor,
            cum_seq_k.c_tensor,
            max_q,
            max_k,
            dropout_p,
            if is_causal { 1 } else { 0 },
            philox_seed.c_tensor,
            philox_offset.c_tensor,
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8,
            window_size_left.unwrap_or(0i64),
            window_size_left.is_none() as i8,
            window_size_right.unwrap_or(0i64),
            window_size_right.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_foobar(
        &self,
        arg1: bool,
        arg2: bool,
        arg3: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__foobar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if arg1 { 1 } else { 0 },
            if arg2 { 1 } else { 0 },
            if arg3 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_foobar_out(
        &self,
        out: &Tensor,
        arg1: bool,
        arg2: bool,
        arg3: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__foobar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if arg1 { 1 } else { 0 },
            if arg2 { 1 } else { 0 },
            if arg3 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_functional_assert_async(
        &self,
        assert_msg: &str,
        dep_token: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__functional_assert_async(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            assert_msg.as_ptr(),
            assert_msg.len() as i32,
            dep_token.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_functional_assert_scalar<S: Into<Scalar>>(
        self_scalar: S,
        assert_msg: &str,
        dep_token: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__functional_assert_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            assert_msg.as_ptr(),
            assert_msg.len() as i32,
            dep_token.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_functional_sym_constrain_range<S: Into<Scalar>>(
        size: S,
        min: impl Into<Option<i64>>,
        max: impl Into<Option<i64>>,
        dep_token: &Tensor,
    ) -> Result<Tensor, TchError> {
        let min = min.into();
        let max = max.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__functional_sym_constrain_range(
            c_tensors.as_mut_ptr(),
            size.into().c_scalar,
            min.unwrap_or(0i64),
            min.is_none() as i8,
            max.unwrap_or(0i64),
            max.is_none() as i8,
            dep_token.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_functional_sym_constrain_range_for_size<S: Into<Scalar>>(
        size: S,
        min: impl Into<Option<i64>>,
        max: impl Into<Option<i64>>,
        dep_token: &Tensor,
    ) -> Result<Tensor, TchError> {
        let min = min.into();
        let max = max.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__functional_sym_constrain_range_for_size(
            c_tensors.as_mut_ptr(),
            size.into().c_scalar,
            min.unwrap_or(0i64),
            min.is_none() as i8,
            max.unwrap_or(0i64),
            max.is_none() as i8,
            dep_token.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fused_dropout(&self, p: f64) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__fused_dropout(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_fused_dropout_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        p: f64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__fused_dropout_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            p
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_fused_moving_avg_obs_fq_helper(
        &self,
        observer_on: &Tensor,
        fake_quant_on: &Tensor,
        running_min: &Tensor,
        running_max: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        averaging_const: f64,
        quant_min: i64,
        quant_max: i64,
        ch_axis: i64,
        per_row_fake_quant: bool,
        symmetric_quant: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__fused_moving_avg_obs_fq_helper(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            observer_on.c_tensor,
            fake_quant_on.c_tensor,
            running_min.c_tensor,
            running_max.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            averaging_const,
            quant_min,
            quant_max,
            ch_axis,
            if per_row_fake_quant { 1 } else { 0 },
            if symmetric_quant { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_fused_moving_avg_obs_fq_helper_functional(
        &self,
        observer_on: &Tensor,
        fake_quant_on: &Tensor,
        running_min: &Tensor,
        running_max: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        averaging_const: f64,
        quant_min: i64,
        quant_max: i64,
        ch_axis: i64,
        per_row_fake_quant: bool,
        symmetric_quant: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 6];
        unsafe_torch_err!(atg__fused_moving_avg_obs_fq_helper_functional(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            observer_on.c_tensor,
            fake_quant_on.c_tensor,
            running_min.c_tensor,
            running_max.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            averaging_const,
            quant_min,
            quant_max,
            ch_axis,
            if per_row_fake_quant { 1 } else { 0 },
            if symmetric_quant { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
            Tensor { c_tensor: c_tensors[5] },
        ))
    }

    pub fn f_internal_fused_moving_avg_obs_fq_helper_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        observer_on: &Tensor,
        fake_quant_on: &Tensor,
        running_min: &Tensor,
        running_max: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        averaging_const: f64,
        quant_min: i64,
        quant_max: i64,
        ch_axis: i64,
        per_row_fake_quant: bool,
        symmetric_quant: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__fused_moving_avg_obs_fq_helper_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            observer_on.c_tensor,
            fake_quant_on.c_tensor,
            running_min.c_tensor,
            running_max.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            averaging_const,
            quant_min,
            quant_max,
            ch_axis,
            if per_row_fake_quant { 1 } else { 0 },
            if symmetric_quant { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_fused_sdp_choice<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        attn_mask: Option<T>,
        dropout_p: f64,
        is_causal: bool,
        scale: impl Into<Option<f64>>,
        enable_gqa: bool,
    ) -> Result<i64, TchError> {
        let scale = scale.into();
        let return_;
        unsafe_torch_err!(
            return_ = atg__fused_sdp_choice(
                query.c_tensor,
                key.c_tensor,
                value.c_tensor,
                attn_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
                dropout_p,
                if is_causal { 1 } else { 0 },
                scale.unwrap_or(std::f64::NAN),
                scale.is_none() as i8,
                if enable_gqa { 1 } else { 0 }
            )
        );
        Ok(return_)
    }

    pub fn f_internal_fw_primal(&self, level: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fw_primal(c_tensors.as_mut_ptr(), self.c_tensor, level));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fw_primal_copy(&self, level: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fw_primal_copy(c_tensors.as_mut_ptr(), self.c_tensor, level));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_fw_primal_copy_out(
        &self,
        out: &Tensor,
        level: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__fw_primal_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            level
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_gather_sparse_backward(
        &self,
        dim: i64,
        index: &Tensor,
        grad: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__gather_sparse_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            grad.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_grid_sampler_2d_cpu_fallback(
        &self,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__grid_sampler_2d_cpu_fallback(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_grid_sampler_2d_cpu_fallback_backward(
        &self,
        grad_output: &Tensor,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__grid_sampler_2d_cpu_fallback_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_grid_sampler_2d_cpu_fallback_out(
        &self,
        out: &Tensor,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__grid_sampler_2d_cpu_fallback_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_has_compatible_shallow_copy_type(
        &self,
        from: &Tensor,
    ) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(
            return_ = atg__has_compatible_shallow_copy_type(self.c_tensor, from.c_tensor)
        );
        Ok(return_ != 0)
    }

    pub fn f_internal_has_same_storage_numel(&self, other: &Tensor) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__has_same_storage_numel(self.c_tensor, other.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_internal_histogramdd_bin_edges<T: Borrow<Tensor>>(
        &self,
        bins: impl IntList,
        range: impl DoubleList,
        weight: Option<T>,
        density: bool,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg__histogramdd_bin_edges(
            self.c_tensor,
            bins.as_ptr(),
            bins.len_i32(),
            range.as_ptr(),
            range.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_internal_histogramdd_bin_edges_out<T: Borrow<Tensor>>(
        &self,
        out: &[T],
        bins: impl IntList,
        range: impl DoubleList,
        weight: Option<T>,
        density: bool,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__histogramdd_bin_edges_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            self.c_tensor,
            bins.as_ptr(),
            bins.len_i32(),
            range.as_ptr(),
            range.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok(())
    }

    pub fn f_internal_histogramdd_from_bin_cts<T: Borrow<Tensor>>(
        &self,
        bins: impl IntList,
        range: impl DoubleList,
        weight: Option<T>,
        density: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__histogramdd_from_bin_cts(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            bins.as_ptr(),
            bins.len_i32(),
            range.as_ptr(),
            range.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_histogramdd_from_bin_cts_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        bins: impl IntList,
        range: impl DoubleList,
        weight: Option<T>,
        density: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__histogramdd_from_bin_cts_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            bins.as_ptr(),
            bins.len_i32(),
            range.as_ptr(),
            range.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_histogramdd_from_bin_tensors<T: Borrow<Tensor>>(
        &self,
        bins: &[T],
        weight: Option<T>,
        density: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__histogramdd_from_bin_tensors(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(bins).as_ptr(),
            bins.len() as i32,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_histogramdd_from_bin_tensors_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        bins: &[T],
        weight: Option<T>,
        density: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__histogramdd_from_bin_tensors_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ptr_list(bins).as_ptr(),
            bins.len() as i32,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_index_put_impl<T: Borrow<Tensor>>(
        &self,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
        unsafe_: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__index_put_impl(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 },
            if unsafe_ { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_index_put_impl_<T: Borrow<Tensor>>(
        &mut self,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
        unsafe_: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__index_put_impl_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 },
            if unsafe_ { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_index_put_impl_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
        unsafe_: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__index_put_impl_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 },
            if unsafe_ { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_indices(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__indices(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_indices_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__indices_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_indices_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__indices_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_int_mm(&self, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__int_mm(c_tensors.as_mut_ptr(), self.c_tensor, mat2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_int_mm_out(&self, out: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__int_mm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_is_all_true(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__is_all_true(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_is_any_true(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__is_any_true(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_is_zerotensor(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__is_zerotensor(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_internal_lazy_clone(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__lazy_clone(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_linalg_check_errors(
        info: &Tensor,
        api_name: &str,
        is_matrix: bool,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__linalg_check_errors(
            info.c_tensor,
            api_name.as_ptr(),
            api_name.len() as i32,
            if is_matrix { 1 } else { 0 }
        ));
        Ok(())
    }

    pub fn f_internal_linalg_det(a: &Tensor) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__linalg_det(c_tensors.as_mut_ptr(), a.c_tensor));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_linalg_det_result(
        result: &Tensor,
        lu: &Tensor,
        pivots: &Tensor,
        a: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__linalg_det_result(
            c_tensors.as_mut_ptr(),
            result.c_tensor,
            lu.c_tensor,
            pivots.c_tensor,
            a.c_tensor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_linalg_eigh(
        a: &Tensor,
        uplo: &str,
        compute_v: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__linalg_eigh(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            uplo.as_ptr(),
            uplo.len() as i32,
            if compute_v { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_linalg_eigh_eigenvalues(
        eigenvalues: &Tensor,
        eigenvectors: &Tensor,
        a: &Tensor,
        uplo: &str,
        compute_v: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__linalg_eigh_eigenvalues(
            c_tensors.as_mut_ptr(),
            eigenvalues.c_tensor,
            eigenvectors.c_tensor,
            a.c_tensor,
            uplo.as_ptr(),
            uplo.len() as i32,
            if compute_v { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_linalg_eigvals(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__linalg_eigvals(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_linalg_slogdet(
        a: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__linalg_slogdet(c_tensors.as_mut_ptr(), a.c_tensor));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_linalg_slogdet_sign(
        sign: &Tensor,
        logabsdet: &Tensor,
        lu: &Tensor,
        pivots: &Tensor,
        a: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__linalg_slogdet_sign(
            c_tensors.as_mut_ptr(),
            sign.c_tensor,
            logabsdet.c_tensor,
            lu.c_tensor,
            pivots.c_tensor,
            a.c_tensor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_linalg_solve_ex(
        a: &Tensor,
        b: &Tensor,
        left: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__linalg_solve_ex(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_linalg_solve_ex_result(
        result: &Tensor,
        lu: &Tensor,
        pivots: &Tensor,
        info: &Tensor,
        a: &Tensor,
        b: &Tensor,
        left: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__linalg_solve_ex_result(
            c_tensors.as_mut_ptr(),
            result.c_tensor,
            lu.c_tensor,
            pivots.c_tensor,
            info.c_tensor,
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_linalg_svd(
        a: &Tensor,
        full_matrices: bool,
        compute_uv: bool,
        driver: &str,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__linalg_svd(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            if full_matrices { 1 } else { 0 },
            if compute_uv { 1 } else { 0 },
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_linalg_svd_u(
        u: &Tensor,
        s: &Tensor,
        vh: &Tensor,
        a: &Tensor,
        full_matrices: bool,
        compute_uv: bool,
        driver: &str,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__linalg_svd_u(
            c_tensors.as_mut_ptr(),
            u.c_tensor,
            s.c_tensor,
            vh.c_tensor,
            a.c_tensor,
            if full_matrices { 1 } else { 0 },
            if compute_uv { 1 } else { 0 },
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_log_softmax(
        &self,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__log_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_log_softmax_backward_data(
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
        input_dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__log_softmax_backward_data(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            input_dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_log_softmax_backward_data_out(
        out: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
        input_dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__log_softmax_backward_data_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            input_dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_log_softmax_out(
        &self,
        out: &Tensor,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__log_softmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_logcumsumexp(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__logcumsumexp(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_logcumsumexp_out(&self, out: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__logcumsumexp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_lstm_mps<T: Borrow<Tensor>>(
        &self,
        hx: &[T],
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 6];
        unsafe_torch_err!(atg__lstm_mps(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
            Tensor { c_tensor: c_tensors[5] },
        ))
    }

    pub fn f_internal_lstm_mps_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        out4: &Tensor,
        out5: &Tensor,
        hx: &[T],
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 6];
        unsafe_torch_err!(atg__lstm_mps_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            out4.c_tensor,
            out5.c_tensor,
            self.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
            Tensor { c_tensor: c_tensors[5] },
        ))
    }

    pub fn f_internal_lu_with_info(
        &self,
        pivot: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__lu_with_info(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if pivot { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_make_dep_token(options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_dep_token(
            c_tensors.as_mut_ptr(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_dual(
        primal: &Tensor,
        tangent: &Tensor,
        level: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_dual(
            c_tensors.as_mut_ptr(),
            primal.c_tensor,
            tangent.c_tensor,
            level
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_dual_copy(
        primal: &Tensor,
        tangent: &Tensor,
        level: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_dual_copy(
            c_tensors.as_mut_ptr(),
            primal.c_tensor,
            tangent.c_tensor,
            level
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_dual_copy_out(
        out: &Tensor,
        primal: &Tensor,
        tangent: &Tensor,
        level: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_dual_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            primal.c_tensor,
            tangent.c_tensor,
            level
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_per_channel_quantized_tensor(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_per_channel_quantized_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_per_channel_quantized_tensor_out(
        &self,
        out: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_per_channel_quantized_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_per_tensor_quantized_tensor(
        &self,
        scale: f64,
        zero_point: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_per_tensor_quantized_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale,
            zero_point
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_make_per_tensor_quantized_tensor_out(
        &self,
        out: &Tensor,
        scale: f64,
        zero_point: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__make_per_tensor_quantized_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scale,
            zero_point
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_masked_scale(&self, mask: &Tensor, scale: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__masked_scale(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            scale
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_masked_scale_out(
        &self,
        out: &Tensor,
        mask: &Tensor,
        scale: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__masked_scale_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor,
            scale
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_masked_softmax(
        &self,
        mask: &Tensor,
        dim: impl Into<Option<i64>>,
        mask_type: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mask_type = mask_type.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__masked_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            mask_type.unwrap_or(0i64),
            mask_type.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_masked_softmax_backward(
        grad_output: &Tensor,
        output: &Tensor,
        mask: &Tensor,
        dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__masked_softmax_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            mask.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_masked_softmax_backward_out(
        out: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        mask: &Tensor,
        dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__masked_softmax_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            mask.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_masked_softmax_out(
        &self,
        out: &Tensor,
        mask: &Tensor,
        dim: impl Into<Option<i64>>,
        mask_type: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mask_type = mask_type.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__masked_softmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            mask_type.unwrap_or(0i64),
            mask_type.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mixed_dtypes_linear<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        scale: &Tensor,
        bias: Option<T>,
        activation: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mixed_dtypes_linear(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            scale.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            activation.as_ptr(),
            activation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mkldnn_reshape(&self, shape: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mkldnn_reshape(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            shape.as_ptr(),
            shape.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mkldnn_reshape_out(
        &self,
        out: &Tensor,
        shape: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mkldnn_reshape_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            shape.as_ptr(),
            shape.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mkldnn_transpose(&self, dim0: i64, dim1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mkldnn_transpose(c_tensors.as_mut_ptr(), self.c_tensor, dim0, dim1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mkldnn_transpose_(
        &mut self,
        dim0: i64,
        dim1: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mkldnn_transpose_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim0,
            dim1
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mkldnn_transpose_out(
        &self,
        out: &Tensor,
        dim0: i64,
        dim1: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mkldnn_transpose_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim0,
            dim1
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mps_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mps_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mps_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mps_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mps_convolution_transpose(
        &self,
        weight: &Tensor,
        padding: impl IntList,
        output_padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mps_convolution_transpose(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_mps_convolution_transpose_out(
        &self,
        out: &Tensor,
        weight: &Tensor,
        padding: impl IntList,
        output_padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__mps_convolution_transpose_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_native_batch_norm_legit<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__native_batch_norm_legit(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_native_batch_norm_legit_functional<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 5];
        unsafe_torch_err!(atg__native_batch_norm_legit_functional(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
        ))
    }

    pub fn f_internal_native_batch_norm_legit_no_stats<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__native_batch_norm_legit_no_stats(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_native_batch_norm_legit_no_stats_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        save_mean: &Tensor,
        save_invstd: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__native_batch_norm_legit_no_stats_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            save_mean.c_tensor,
            save_invstd.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_native_batch_norm_legit_no_training<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__native_batch_norm_legit_no_training(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_native_batch_norm_legit_no_training_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__native_batch_norm_legit_no_training_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_native_batch_norm_legit_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        save_mean: &Tensor,
        save_invstd: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: &Tensor,
        running_var: &Tensor,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__native_batch_norm_legit_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            save_mean.c_tensor,
            save_invstd.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.c_tensor,
            running_var.c_tensor,
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_native_multi_head_attention<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        embed_dim: i64,
        num_head: i64,
        qkv_weight: &Tensor,
        qkv_bias: &Tensor,
        proj_weight: &Tensor,
        proj_bias: &Tensor,
        mask: Option<T>,
        need_weights: bool,
        average_attn_weights: bool,
        mask_type: impl Into<Option<i64>>,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mask_type = mask_type.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__native_multi_head_attention(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            embed_dim,
            num_head,
            qkv_weight.c_tensor,
            qkv_bias.c_tensor,
            proj_weight.c_tensor,
            proj_bias.c_tensor,
            mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if need_weights { 1 } else { 0 },
            if average_attn_weights { 1 } else { 0 },
            mask_type.unwrap_or(0i64),
            mask_type.is_none() as i8
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_native_multi_head_attention_out<T: Borrow<Tensor>>(
        out0: &Tensor,
        out1: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        embed_dim: i64,
        num_head: i64,
        qkv_weight: &Tensor,
        qkv_bias: &Tensor,
        proj_weight: &Tensor,
        proj_bias: &Tensor,
        mask: Option<T>,
        need_weights: bool,
        average_attn_weights: bool,
        mask_type: impl Into<Option<i64>>,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mask_type = mask_type.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__native_multi_head_attention_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            embed_dim,
            num_head,
            qkv_weight.c_tensor,
            qkv_bias.c_tensor,
            proj_weight.c_tensor,
            proj_bias.c_tensor,
            mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if need_weights { 1 } else { 0 },
            if average_attn_weights { 1 } else { 0 },
            mask_type.unwrap_or(0i64),
            mask_type.is_none() as i8
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_neg_view(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__neg_view(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_neg_view_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__neg_view_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_neg_view_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__neg_view_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_compute_contiguous_strides_offsets(
        nested_size: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__nested_compute_contiguous_strides_offsets(
            c_tensors.as_mut_ptr(),
            nested_size.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_nested_from_padded(
        padded: &Tensor,
        cpu_nested_shape_example: &Tensor,
        fuse_transform_0213: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_from_padded(
            c_tensors.as_mut_ptr(),
            padded.c_tensor,
            cpu_nested_shape_example.c_tensor,
            if fuse_transform_0213 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_from_padded_and_nested_example(
        padded: &Tensor,
        nt_example: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_from_padded_and_nested_example(
            c_tensors.as_mut_ptr(),
            padded.c_tensor,
            nt_example.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_from_padded_and_nested_example_out(
        out: &Tensor,
        padded: &Tensor,
        nt_example: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_from_padded_and_nested_example_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            padded.c_tensor,
            nt_example.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_from_padded_out(
        out: &Tensor,
        padded: &Tensor,
        cpu_nested_shape_example: &Tensor,
        fuse_transform_0213: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_from_padded_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            padded.c_tensor,
            cpu_nested_shape_example.c_tensor,
            if fuse_transform_0213 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_jagged_dummy(any: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_jagged_dummy(c_tensors.as_mut_ptr(), any.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_lengths(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_lengths(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_max_seqlen(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_max_seqlen(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_min_seqlen(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_min_seqlen(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_offsets(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_offsets(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_ragged_idx(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__nested_get_ragged_idx(self.c_tensor));
        Ok(return_)
    }

    pub fn f_internal_nested_get_values(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_values(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_values_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_values_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_get_values_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_get_values_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_select_backward(
        &self,
        grad_output: &Tensor,
        dim: i64,
        index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_select_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            dim,
            index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_sum_backward(
        &self,
        grad: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_sum_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_view_from_buffer(
        &self,
        nested_size: &Tensor,
        nested_strides: &Tensor,
        offsets: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_view_from_buffer(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            nested_size.c_tensor,
            nested_strides.c_tensor,
            offsets.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_view_from_buffer_copy(
        &self,
        nested_size: &Tensor,
        nested_strides: &Tensor,
        offsets: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_view_from_buffer_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            nested_size.c_tensor,
            nested_strides.c_tensor,
            offsets.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_view_from_buffer_copy_out(
        &self,
        out: &Tensor,
        nested_size: &Tensor,
        nested_strides: &Tensor,
        offsets: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_view_from_buffer_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            nested_size.c_tensor,
            nested_strides.c_tensor,
            offsets.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_view_from_jagged<T: Borrow<Tensor>>(
        &self,
        offsets: &Tensor,
        dummy: &Tensor,
        lengths: Option<T>,
        ragged_idx: i64,
        min_seqlen: Option<T>,
        max_seqlen: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_view_from_jagged(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            offsets.c_tensor,
            dummy.c_tensor,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            ragged_idx,
            min_seqlen.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max_seqlen.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_view_from_jagged_copy<T: Borrow<Tensor>>(
        &self,
        offsets: &Tensor,
        dummy: &Tensor,
        lengths: Option<T>,
        ragged_idx: i64,
        min_seqlen: Option<T>,
        max_seqlen: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_view_from_jagged_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            offsets.c_tensor,
            dummy.c_tensor,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            ragged_idx,
            min_seqlen.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max_seqlen.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nested_view_from_jagged_copy_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        offsets: &Tensor,
        dummy: &Tensor,
        lengths: Option<T>,
        ragged_idx: i64,
        min_seqlen: Option<T>,
        max_seqlen: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nested_view_from_jagged_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            offsets.c_tensor,
            dummy.c_tensor,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            ragged_idx,
            min_seqlen.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max_seqlen.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_new_zeros_with_same_feature_meta(
        &self,
        other: &Tensor,
        self_num_batch_dims: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__new_zeros_with_same_feature_meta(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            self_num_batch_dims
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_new_zeros_with_same_feature_meta_out(
        &self,
        out: &Tensor,
        other: &Tensor,
        self_num_batch_dims: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__new_zeros_with_same_feature_meta_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            self_num_batch_dims
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nnpack_available() -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__nnpack_available());
        Ok(return_ != 0)
    }

    pub fn f_internal_nnpack_spatial_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nnpack_spatial_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nnpack_spatial_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__nnpack_spatial_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_nnz(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__nnz(self.c_tensor));
        Ok(return_)
    }

    pub fn f_internal_pack_padded_sequence(
        &self,
        lengths: &Tensor,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__pack_padded_sequence(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            lengths.c_tensor,
            if batch_first { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_pack_padded_sequence_backward(
        grad: &Tensor,
        input_size: impl IntList,
        batch_sizes: &Tensor,
        batch_first: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pack_padded_sequence_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            input_size.as_ptr(),
            input_size.len_i32(),
            batch_sizes.c_tensor,
            if batch_first { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_pack_padded_sequence_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        lengths: &Tensor,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__pack_padded_sequence_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            lengths.c_tensor,
            if batch_first { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_pad_circular(&self, pad: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pad_circular(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            pad.as_ptr(),
            pad.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_pad_enum(
        &self,
        pad: impl IntList,
        mode: i64,
        value: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let value = value.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pad_enum(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            pad.as_ptr(),
            pad.len_i32(),
            mode,
            value.unwrap_or(std::f64::NAN),
            value.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_pad_packed_sequence<S: Into<Scalar>>(
        data: &Tensor,
        batch_sizes: &Tensor,
        batch_first: bool,
        padding_value: S,
        total_length: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__pad_packed_sequence(
            c_tensors.as_mut_ptr(),
            data.c_tensor,
            batch_sizes.c_tensor,
            if batch_first { 1 } else { 0 },
            padding_value.into().c_scalar,
            total_length
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_pdist_backward(
        &self,
        grad: &Tensor,
        p: f64,
        pdist: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pdist_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            p,
            pdist.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_pdist_backward_out(
        &self,
        out: &Tensor,
        grad: &Tensor,
        p: f64,
        pdist: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pdist_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            self.c_tensor,
            p,
            pdist.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_pin_memory(&self, device: Device) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pin_memory(c_tensors.as_mut_ptr(), self.c_tensor, device.c_int()));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_pin_memory_out(
        &self,
        out: &Tensor,
        device: Device,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__pin_memory_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            device.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_prelu_kernel(&self, weight: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__prelu_kernel(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_prelu_kernel_backward(
        &self,
        grad_output: &Tensor,
        weight: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__prelu_kernel_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            weight.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_print(s: &str) -> Result<(), TchError> {
        unsafe_torch_err!(atg__print(s.as_ptr(), s.len() as i32));
        Ok(())
    }

    pub fn f_internal_propagate_xla_data(&self, output: &Tensor) -> Result<(), TchError> {
        unsafe_torch_err!(atg__propagate_xla_data(self.c_tensor, output.c_tensor));
        Ok(())
    }

    pub fn f_internal_remove_batch_dim(
        &self,
        level: i64,
        batch_size: i64,
        out_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__remove_batch_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            level,
            batch_size,
            out_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_reshape_alias(
        &self,
        size: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__reshape_alias(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_reshape_alias_copy(
        &self,
        size: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__reshape_alias_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_reshape_alias_copy_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__reshape_alias_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_reshape_copy(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__reshape_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_reshape_from_tensor(&self, shape: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__reshape_from_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            shape.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_resize_output(
        &self,
        size: impl IntList,
        device: Device,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__resize_output(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            device.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_resize_output_(
        &mut self,
        size: impl IntList,
        device: Device,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__resize_output_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            device.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_resize_output_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        device: Device,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__resize_output_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            device.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_rowwise_prune(
        weight: &Tensor,
        mask: &Tensor,
        compressed_indices_dtype: Kind,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__rowwise_prune(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            mask.c_tensor,
            compressed_indices_dtype.c_int()
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_safe_softmax(
        &self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__safe_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sample_dirichlet(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sample_dirichlet(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sample_dirichlet_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sample_dirichlet_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_saturate_weight_to_fp16(weight: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__saturate_weight_to_fp16(c_tensors.as_mut_ptr(), weight.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_scaled_dot_product_attention_math<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        attn_mask: Option<T>,
        dropout_p: f64,
        is_causal: bool,
        dropout_mask: Option<T>,
        scale: impl Into<Option<f64>>,
        enable_gqa: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__scaled_dot_product_attention_math(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            attn_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            dropout_p,
            if is_causal { 1 } else { 0 },
            dropout_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8,
            if enable_gqa { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_scaled_dot_product_attention_math_for_mps<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        attn_mask: Option<T>,
        dropout_p: f64,
        is_causal: bool,
        dropout_mask: Option<T>,
        scale: impl Into<Option<f64>>,
    ) -> Result<(Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__scaled_dot_product_attention_math_for_mps(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            attn_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            dropout_p,
            if is_causal { 1 } else { 0 },
            dropout_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_scaled_dot_product_cudnn_attention_backward(
        grad_out: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        out: &Tensor,
        logsumexp: &Tensor,
        philox_seed: &Tensor,
        philox_offset: &Tensor,
        attn_bias: &Tensor,
        cum_seq_q: &Tensor,
        cum_seq_k: &Tensor,
        max_q: i64,
        max_k: i64,
        dropout_p: f64,
        is_causal: bool,
        scale: impl Into<Option<f64>>,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__scaled_dot_product_cudnn_attention_backward(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            out.c_tensor,
            logsumexp.c_tensor,
            philox_seed.c_tensor,
            philox_offset.c_tensor,
            attn_bias.c_tensor,
            cum_seq_q.c_tensor,
            cum_seq_k.c_tensor,
            max_q,
            max_k,
            dropout_p,
            if is_causal { 1 } else { 0 },
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_scaled_dot_product_efficient_attention<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        attn_bias: Option<T>,
        compute_log_sumexp: bool,
        dropout_p: f64,
        is_causal: bool,
        scale: impl Into<Option<f64>>,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg__scaled_dot_product_efficient_attention(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            attn_bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if compute_log_sumexp { 1 } else { 0 },
            dropout_p,
            if is_causal { 1 } else { 0 },
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_internal_scaled_dot_product_flash_attention_backward(
        grad_out: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        out: &Tensor,
        logsumexp: &Tensor,
        cum_seq_q: &Tensor,
        cum_seq_k: &Tensor,
        max_q: i64,
        max_k: i64,
        dropout_p: f64,
        is_causal: bool,
        philox_seed: &Tensor,
        philox_offset: &Tensor,
        scale: impl Into<Option<f64>>,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__scaled_dot_product_flash_attention_backward(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            out.c_tensor,
            logsumexp.c_tensor,
            cum_seq_q.c_tensor,
            cum_seq_k.c_tensor,
            max_q,
            max_k,
            dropout_p,
            if is_causal { 1 } else { 0 },
            philox_seed.c_tensor,
            philox_offset.c_tensor,
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_scaled_dot_product_flash_attention_for_cpu<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        dropout_p: f64,
        is_causal: bool,
        attn_mask: Option<T>,
        scale: impl Into<Option<f64>>,
    ) -> Result<(Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__scaled_dot_product_flash_attention_for_cpu(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            dropout_p,
            if is_causal { 1 } else { 0 },
            attn_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_scaled_dot_product_flash_attention_for_cpu_backward<T: Borrow<Tensor>>(
        grad_out: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        out: &Tensor,
        logsumexp: &Tensor,
        dropout_p: f64,
        is_causal: bool,
        attn_mask: Option<T>,
        scale: impl Into<Option<f64>>,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__scaled_dot_product_flash_attention_for_cpu_backward(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            out.c_tensor,
            logsumexp.c_tensor,
            dropout_p,
            if is_causal { 1 } else { 0 },
            attn_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_scaled_mm<T: Borrow<Tensor>>(
        &self,
        mat2: &Tensor,
        scale_a: &Tensor,
        scale_b: &Tensor,
        bias: Option<T>,
        scale_result: Option<T>,
        out_dtype: impl Into<Option<Kind>>,
        use_fast_accum: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__scaled_mm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat2.c_tensor,
            scale_a.c_tensor,
            scale_b.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            scale_result.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            out_dtype.into().map_or(-1, |s| s.c_int()),
            if use_fast_accum { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_scaled_mm_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        mat2: &Tensor,
        scale_a: &Tensor,
        scale_b: &Tensor,
        bias: Option<T>,
        scale_result: Option<T>,
        out_dtype: impl Into<Option<Kind>>,
        use_fast_accum: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__scaled_mm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat2.c_tensor,
            scale_a.c_tensor,
            scale_b.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            scale_result.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            out_dtype.into().map_or(-1, |s| s.c_int()),
            if use_fast_accum { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_scatter_reduce(
        &self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
        reduce: &str,
        include_self: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__scatter_reduce(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            if include_self { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_scatter_reduce_(
        &mut self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
        reduce: &str,
        include_self: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__scatter_reduce_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            if include_self { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_scatter_reduce_two_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
        reduce: &str,
        include_self: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__scatter_reduce_two_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            if include_self { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_segment_reduce_backward<T: Borrow<Tensor>, S: Into<Scalar>>(
        grad: &Tensor,
        output: &Tensor,
        data: &Tensor,
        reduce: &str,
        lengths: Option<T>,
        offsets: Option<T>,
        axis: i64,
        initial: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__segment_reduce_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            output.c_tensor,
            data.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            offsets.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            axis,
            initial.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_segment_reduce_backward_out<T: Borrow<Tensor>, S: Into<Scalar>>(
        out: &Tensor,
        grad: &Tensor,
        output: &Tensor,
        data: &Tensor,
        reduce: &str,
        lengths: Option<T>,
        offsets: Option<T>,
        axis: i64,
        initial: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__segment_reduce_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            output.c_tensor,
            data.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            offsets.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            axis,
            initial.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_shape_as_tensor(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__shape_as_tensor(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_slow_conv2d_backward(
        &self,
        grad_input: &Tensor,
        grad_weight: &Tensor,
        grad_bias: &Tensor,
        grad_output: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__slow_conv2d_backward(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_weight.c_tensor,
            grad_bias.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_sobol_engine_draw(
        quasi: &Tensor,
        n: i64,
        sobolstate: &Tensor,
        dimension: i64,
        num_generated: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__sobol_engine_draw(
            c_tensors.as_mut_ptr(),
            quasi.c_tensor,
            n,
            sobolstate.c_tensor,
            dimension,
            num_generated,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_sobol_engine_ff_(
        &mut self,
        n: i64,
        sobolstate: &Tensor,
        dimension: i64,
        num_generated: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sobol_engine_ff_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n,
            sobolstate.c_tensor,
            dimension,
            num_generated
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sobol_engine_initialize_state_(
        &mut self,
        dimension: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sobol_engine_initialize_state_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dimension
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sobol_engine_scramble_(
        &mut self,
        ltm: &Tensor,
        dimension: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sobol_engine_scramble_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ltm.c_tensor,
            dimension
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_softmax(&self, dim: i64, half_to_float: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_softmax_backward_data(
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
        input_dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__softmax_backward_data(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            input_dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_softmax_backward_data_out(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
        input_dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__softmax_backward_data_out(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            input_dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_softmax_out(
        &self,
        out: &Tensor,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__softmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_addmm(
        &self,
        mat1: &Tensor,
        mat2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_addmm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_addmm_out(
        &self,
        out: &Tensor,
        mat1: &Tensor,
        mat2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_addmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_broadcast_to(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_broadcast_to(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_broadcast_to_copy(
        &self,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_broadcast_to_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_broadcast_to_copy_out(
        &self,
        out: &Tensor,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_broadcast_to_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_bsc_tensor_unsafe(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_bsc_tensor_unsafe(
            c_tensors.as_mut_ptr(),
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_bsr_tensor_unsafe(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_bsr_tensor_unsafe(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_compressed_tensor_unsafe(
        compressed_indices: &Tensor,
        plain_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_compressed_tensor_unsafe(
            c_tensors.as_mut_ptr(),
            compressed_indices.c_tensor,
            plain_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_compressed_tensor_with_dims(
        nnz: i64,
        dense_dim: i64,
        size: impl IntList,
        blocksize: impl IntList,
        index_dtype: Kind,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_compressed_tensor_with_dims(
            c_tensors.as_mut_ptr(),
            nnz,
            dense_dim,
            size.as_ptr(),
            size.len_i32(),
            blocksize.as_ptr(),
            blocksize.len_i32(),
            index_dtype.c_int(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_coo_tensor_unsafe(
        indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
        is_coalesced: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_coo_tensor_unsafe(
            c_tensors.as_mut_ptr(),
            indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int(),
            if is_coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_coo_tensor_with_dims(
        sparse_dim: i64,
        dense_dim: i64,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_coo_tensor_with_dims(
            c_tensors.as_mut_ptr(),
            sparse_dim,
            dense_dim,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_coo_tensor_with_dims_and_tensors(
        sparse_dim: i64,
        dense_dim: i64,
        size: impl IntList,
        indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
        is_coalesced: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_coo_tensor_with_dims_and_tensors(
            c_tensors.as_mut_ptr(),
            sparse_dim,
            dense_dim,
            size.as_ptr(),
            size.len_i32(),
            indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int(),
            if is_coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_coo_tensor_with_dims_and_tensors_out(
        out: &Tensor,
        sparse_dim: i64,
        dense_dim: i64,
        size: impl IntList,
        indices: &Tensor,
        values: &Tensor,
        is_coalesced: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_coo_tensor_with_dims_and_tensors_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            sparse_dim,
            dense_dim,
            size.as_ptr(),
            size.len_i32(),
            indices.c_tensor,
            values.c_tensor,
            if is_coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_coo_tensor_with_dims_out(
        out: &Tensor,
        sparse_dim: i64,
        dense_dim: i64,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_coo_tensor_with_dims_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            sparse_dim,
            dense_dim,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_csc_tensor_unsafe(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_csc_tensor_unsafe(
            c_tensors.as_mut_ptr(),
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_csr_prod(
        &self,
        dim: impl IntList,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_csr_prod(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_csr_prod_dim_dtype_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_csr_prod_dim_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_csr_sum(
        &self,
        dim: impl IntList,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_csr_sum(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_csr_sum_dim_dtype_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_csr_sum_dim_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_csr_tensor_unsafe(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_csr_tensor_unsafe(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_log_softmax(
        &self,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_log_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_log_softmax_backward_data(
        &self,
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_log_softmax_backward_data(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_log_softmax_backward_data_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_log_softmax_backward_data_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_log_softmax_int(
        &self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_log_softmax_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_log_softmax_out(
        &self,
        out: &Tensor,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_log_softmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_mask_projection(
        &self,
        mask: &Tensor,
        accumulate_matches: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_mask_projection(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            if accumulate_matches { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_mask_projection_out(
        &self,
        out: &Tensor,
        mask: &Tensor,
        accumulate_matches: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_mask_projection_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor,
            if accumulate_matches { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_mm(sparse: &Tensor, dense: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_mm(c_tensors.as_mut_ptr(), sparse.c_tensor, dense.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_mm_reduce(
        sparse: &Tensor,
        dense: &Tensor,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_mm_reduce(
            c_tensors.as_mut_ptr(),
            sparse.c_tensor,
            dense.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_mm_reduce_impl(
        &self,
        other: &Tensor,
        reduce: &str,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__sparse_mm_reduce_impl(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_sparse_semi_structured_apply(
        &self,
        thread_masks: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__sparse_semi_structured_apply(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            thread_masks.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_sparse_semi_structured_apply_dense(
        &self,
        thread_masks: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_semi_structured_apply_dense(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            thread_masks.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_semi_structured_linear<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        meta: &Tensor,
        bias: Option<T>,
        activation: &str,
        out_dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_semi_structured_linear(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            meta.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            activation.as_ptr(),
            activation.len() as i32,
            out_dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_semi_structured_mm(
        mat1: &Tensor,
        mat1_meta: &Tensor,
        mat2: &Tensor,
        out_dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_semi_structured_mm(
            c_tensors.as_mut_ptr(),
            mat1.c_tensor,
            mat1_meta.c_tensor,
            mat2.c_tensor,
            out_dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_semi_structured_tile(
        &self,
        algorithm: &str,
        use_cutlass: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 5];
        unsafe_torch_err!(atg__sparse_semi_structured_tile(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            algorithm.as_ptr(),
            algorithm.len() as i32,
            if use_cutlass { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
        ))
    }

    pub fn f_internal_sparse_softmax(
        &self,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_softmax_backward_data(
        &self,
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_softmax_backward_data(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_softmax_backward_data_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_softmax_backward_data_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            dim,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_softmax_int(
        &self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_softmax_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_softmax_out(
        &self,
        out: &Tensor,
        dim: i64,
        half_to_float: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_softmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if half_to_float { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sparse_matmul(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sparse_matmul(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sparse_matmul_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sparse_matmul_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum_backward(
        &self,
        grad: &Tensor,
        dim: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum_backward_out(
        &self,
        out: &Tensor,
        grad: &Tensor,
        dim: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum_dim(&self, dim: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum_dim_dtype(
        &self,
        dim: impl IntList,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum_dim_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum_dim_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum_dim_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_sparse_sum_dtype(&self, dtype: Kind) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__sparse_sum_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_spdiags(
        diagonals: &Tensor,
        offsets: &Tensor,
        shape: impl IntList,
        layout: Option<Layout>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__spdiags(
            c_tensors.as_mut_ptr(),
            diagonals.c_tensor,
            offsets.c_tensor,
            shape.as_ptr(),
            shape.len_i32(),
            layout.map_or(-1, |s| s.to_i8())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_spdiags_out(
        out: &Tensor,
        diagonals: &Tensor,
        offsets: &Tensor,
        shape: impl IntList,
        layout: Option<Layout>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__spdiags_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            diagonals.c_tensor,
            offsets.c_tensor,
            shape.as_ptr(),
            shape.len_i32(),
            layout.map_or(-1, |s| s.to_i8())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_spsolve(a: &Tensor, b: &Tensor, left: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__spsolve(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_stack<T: Borrow<Tensor>>(
        tensors: &[T],
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__stack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_stack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__stack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_standard_gamma(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__standard_gamma(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_standard_gamma_grad(&self, output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__standard_gamma_grad(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_standard_gamma_grad_out(
        &self,
        out: &Tensor,
        output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__standard_gamma_grad_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_standard_gamma_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__standard_gamma_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_ambiguous_defaults(
        dummy: &Tensor,
        a: i64,
        b: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_ambiguous_defaults(
            c_tensors.as_mut_ptr(),
            dummy.c_tensor,
            a,
            b
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_ambiguous_defaults_b(
        dummy: &Tensor,
        a: i64,
        b: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_ambiguous_defaults_b(
            c_tensors.as_mut_ptr(),
            dummy.c_tensor,
            a,
            b.as_ptr(),
            b.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_autograd_multiple_dispatch(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_autograd_multiple_dispatch(
            c_tensors.as_mut_ptr(),
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_autograd_multiple_dispatch_fullcoverage_out(
        &self,
        out: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_autograd_multiple_dispatch_fullcoverage_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_autograd_multiple_dispatch_ntonly(
        &self,
        b: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_autograd_multiple_dispatch_ntonly(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if b { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_autograd_multiple_dispatch_view(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_autograd_multiple_dispatch_view(
            c_tensors.as_mut_ptr(),
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_autograd_multiple_dispatch_view_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_autograd_multiple_dispatch_view_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_autograd_multiple_dispatch_view_copy_out(
        &self,
        out: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_autograd_multiple_dispatch_view_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_check_tensor(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_check_tensor(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_functorch_fallback(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_functorch_fallback(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_functorch_fallback_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_functorch_fallback_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_optional_filled_intlist(
        values: &Tensor,
        addends: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_optional_filled_intlist(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            addends.as_ptr(),
            addends.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_optional_filled_intlist_out(
        out: &Tensor,
        values: &Tensor,
        addends: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_optional_filled_intlist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            values.c_tensor,
            addends.as_ptr(),
            addends.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_optional_floatlist(
        values: &Tensor,
        addends: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_optional_floatlist(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            addends.as_ptr(),
            addends.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_optional_floatlist_out(
        out: &Tensor,
        values: &Tensor,
        addends: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_optional_floatlist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            values.c_tensor,
            addends.as_ptr(),
            addends.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_optional_intlist(
        values: &Tensor,
        addends: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_optional_intlist(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            addends.as_ptr(),
            addends.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_optional_intlist_out(
        out: &Tensor,
        values: &Tensor,
        addends: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_optional_intlist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            values.c_tensor,
            addends.as_ptr(),
            addends.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_parallel_materialize(
        &self,
        num_parallel: i64,
        skip_first: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_parallel_materialize(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            num_parallel,
            if skip_first { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_serialization_subcmul(
        &self,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_serialization_subcmul(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_string_default(
        dummy: &Tensor,
        a: &str,
        b: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_string_default(
            c_tensors.as_mut_ptr(),
            dummy.c_tensor,
            a.as_ptr(),
            a.len() as i32,
            b.as_ptr(),
            b.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_warn_in_autograd(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_warn_in_autograd(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_test_warn_in_autograd_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__test_warn_in_autograd_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_copy(
        &self,
        options: (Kind, Device),
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            options.0.c_int(),
            options.1.c_int(),
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_copy_out(
        &self,
        out: &Tensor,
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_cpu<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Vec<Tensor>, TchError> {
        let c_tensors =
            unsafe_torch_err!(atg__to_cpu(ptr_list(tensors).as_ptr(), tensors.len() as i32));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_internal_to_dense(
        &self,
        dtype: impl Into<Option<Kind>>,
        masked_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_dense(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int()),
            if masked_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_dense_out(
        &self,
        out: &Tensor,
        dtype: impl Into<Option<Kind>>,
        masked_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_dense_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int()),
            if masked_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse(
        &self,
        layout: Option<Layout>,
        blocksize: impl IntListOption,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            layout.map_or(-1, |s| s.to_i8()),
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_bsc(
        &self,
        blocksize: impl IntList,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_bsc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_bsc_out(
        &self,
        out: &Tensor,
        blocksize: impl IntList,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_bsc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_bsr(
        &self,
        blocksize: impl IntList,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_bsr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_bsr_out(
        &self,
        out: &Tensor,
        blocksize: impl IntList,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_bsr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_csc(
        &self,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_csc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_csc_out(
        &self,
        out: &Tensor,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_csc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_csr(
        &self,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_csr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_csr_out(
        &self,
        out: &Tensor,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_csr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_out(
        &self,
        out: &Tensor,
        layout: Option<Layout>,
        blocksize: impl IntListOption,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            layout.map_or(-1, |s| s.to_i8()),
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_semi_structured(
        dense: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__to_sparse_semi_structured(c_tensors.as_mut_ptr(), dense.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_to_sparse_sparse_dim(&self, sparse_dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_sparse_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            sparse_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_to_sparse_sparse_dim_out(
        &self,
        out: &Tensor,
        sparse_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__to_sparse_sparse_dim_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            sparse_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_transform_bias_rescale_qkv(
        qkv: &Tensor,
        qkv_bias: &Tensor,
        num_heads: i64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__transform_bias_rescale_qkv(
            c_tensors.as_mut_ptr(),
            qkv.c_tensor,
            qkv_bias.c_tensor,
            num_heads
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_transform_bias_rescale_qkv_out(
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        qkv: &Tensor,
        qkv_bias: &Tensor,
        num_heads: i64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__transform_bias_rescale_qkv_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            qkv.c_tensor,
            qkv_bias.c_tensor,
            num_heads
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_transformer_encoder_layer_fwd<T: Borrow<Tensor>>(
        src: &Tensor,
        embed_dim: i64,
        num_heads: i64,
        qkv_weight: &Tensor,
        qkv_bias: &Tensor,
        proj_weight: &Tensor,
        proj_bias: &Tensor,
        use_gelu: bool,
        norm_first: bool,
        eps: f64,
        norm_weight_1: &Tensor,
        norm_bias_1: &Tensor,
        norm_weight_2: &Tensor,
        norm_bias_2: &Tensor,
        ffn_weight_1: &Tensor,
        ffn_bias_1: &Tensor,
        ffn_weight_2: &Tensor,
        ffn_bias_2: &Tensor,
        mask: Option<T>,
        mask_type: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let mask_type = mask_type.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__transformer_encoder_layer_fwd(
            c_tensors.as_mut_ptr(),
            src.c_tensor,
            embed_dim,
            num_heads,
            qkv_weight.c_tensor,
            qkv_bias.c_tensor,
            proj_weight.c_tensor,
            proj_bias.c_tensor,
            if use_gelu { 1 } else { 0 },
            if norm_first { 1 } else { 0 },
            eps,
            norm_weight_1.c_tensor,
            norm_bias_1.c_tensor,
            norm_weight_2.c_tensor,
            norm_bias_2.c_tensor,
            ffn_weight_1.c_tensor,
            ffn_bias_1.c_tensor,
            ffn_weight_2.c_tensor,
            ffn_bias_2.c_tensor,
            mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mask_type.unwrap_or(0i64),
            mask_type.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_transformer_encoder_layer_fwd_out<T: Borrow<Tensor>>(
        out: &Tensor,
        src: &Tensor,
        embed_dim: i64,
        num_heads: i64,
        qkv_weight: &Tensor,
        qkv_bias: &Tensor,
        proj_weight: &Tensor,
        proj_bias: &Tensor,
        use_gelu: bool,
        norm_first: bool,
        eps: f64,
        norm_weight_1: &Tensor,
        norm_bias_1: &Tensor,
        norm_weight_2: &Tensor,
        norm_bias_2: &Tensor,
        ffn_weight_1: &Tensor,
        ffn_bias_1: &Tensor,
        ffn_weight_2: &Tensor,
        ffn_bias_2: &Tensor,
        mask: Option<T>,
        mask_type: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let mask_type = mask_type.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__transformer_encoder_layer_fwd_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            src.c_tensor,
            embed_dim,
            num_heads,
            qkv_weight.c_tensor,
            qkv_bias.c_tensor,
            proj_weight.c_tensor,
            proj_bias.c_tensor,
            if use_gelu { 1 } else { 0 },
            if norm_first { 1 } else { 0 },
            eps,
            norm_weight_1.c_tensor,
            norm_bias_1.c_tensor,
            norm_weight_2.c_tensor,
            norm_bias_2.c_tensor,
            ffn_weight_1.c_tensor,
            ffn_bias_1.c_tensor,
            ffn_weight_2.c_tensor,
            ffn_bias_2.c_tensor,
            mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mask_type.unwrap_or(0i64),
            mask_type.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_trilinear(
        i1: &Tensor,
        i2: &Tensor,
        i3: &Tensor,
        expand1: impl IntList,
        expand2: impl IntList,
        expand3: impl IntList,
        sumdim: impl IntList,
        unroll_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__trilinear(
            c_tensors.as_mut_ptr(),
            i1.c_tensor,
            i2.c_tensor,
            i3.c_tensor,
            expand1.as_ptr(),
            expand1.len_i32(),
            expand2.as_ptr(),
            expand2.len_i32(),
            expand3.as_ptr(),
            expand3.len_i32(),
            sumdim.as_ptr(),
            sumdim.len_i32(),
            unroll_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_trilinear_out(
        out: &Tensor,
        i1: &Tensor,
        i2: &Tensor,
        i3: &Tensor,
        expand1: impl IntList,
        expand2: impl IntList,
        expand3: impl IntList,
        sumdim: impl IntList,
        unroll_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__trilinear_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            i1.c_tensor,
            i2.c_tensor,
            i3.c_tensor,
            expand1.as_ptr(),
            expand1.len_i32(),
            expand2.as_ptr(),
            expand2.len_i32(),
            expand3.as_ptr(),
            expand3.len_i32(),
            sumdim.as_ptr(),
            sumdim.len_i32(),
            unroll_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_triton_multi_head_attention<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        embed_dim: i64,
        num_head: i64,
        qkv_weight: &Tensor,
        qkv_bias: &Tensor,
        proj_weight: &Tensor,
        proj_bias: &Tensor,
        mask: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__triton_multi_head_attention(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            embed_dim,
            num_head,
            qkv_weight.c_tensor,
            qkv_bias.c_tensor,
            proj_weight.c_tensor,
            proj_bias.c_tensor,
            mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_triton_multi_head_attention_out<T: Borrow<Tensor>>(
        out: &Tensor,
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        embed_dim: i64,
        num_head: i64,
        qkv_weight: &Tensor,
        qkv_bias: &Tensor,
        proj_weight: &Tensor,
        proj_bias: &Tensor,
        mask: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__triton_multi_head_attention_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            embed_dim,
            num_head,
            qkv_weight.c_tensor,
            qkv_bias.c_tensor,
            proj_weight.c_tensor,
            proj_bias.c_tensor,
            mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_triton_scaled_dot_attention(
        q: &Tensor,
        k: &Tensor,
        v: &Tensor,
        dropout_p: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__triton_scaled_dot_attention(
            c_tensors.as_mut_ptr(),
            q.c_tensor,
            k.c_tensor,
            v.c_tensor,
            dropout_p
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_triton_scaled_dot_attention_out(
        out: &Tensor,
        q: &Tensor,
        k: &Tensor,
        v: &Tensor,
        dropout_p: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__triton_scaled_dot_attention_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            q.c_tensor,
            k.c_tensor,
            v.c_tensor,
            dropout_p
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_unique(
        &self,
        sorted: bool,
        return_inverse: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__unique(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if sorted { 1 } else { 0 },
            if return_inverse { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_unique2(
        &self,
        sorted: bool,
        return_inverse: bool,
        return_counts: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__unique2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if sorted { 1 } else { 0 },
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_unique2_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        sorted: bool,
        return_inverse: bool,
        return_counts: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg__unique2_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            if sorted { 1 } else { 0 },
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_internal_unique_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        sorted: bool,
        return_inverse: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__unique_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            if sorted { 1 } else { 0 },
            if return_inverse { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_unpack_dual(dual: &Tensor, level: i64) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__unpack_dual(c_tensors.as_mut_ptr(), dual.c_tensor, level));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_unsafe_index<T: Borrow<Tensor>>(
        &self,
        indices: &[Option<T>],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__unsafe_index(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_unsafe_index_put<T: Borrow<Tensor>>(
        &self,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__unsafe_index_put(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_unsafe_masked_index<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        mask: &Tensor,
        indices: &[Option<T>],
        fill: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__unsafe_masked_index(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            fill.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_unsafe_masked_index_put_accumulate<T: Borrow<Tensor>>(
        &self,
        mask: &Tensor,
        indices: &[Option<T>],
        values: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__unsafe_masked_index_put_accumulate(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_unsafe_view(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__unsafe_view(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_unsafe_view_out(
        &self,
        out: &Tensor,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__unsafe_view_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bicubic2d_aa(
        &self,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bicubic2d_aa(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bicubic2d_aa_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bicubic2d_aa_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bicubic2d_aa_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bicubic2d_aa_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bicubic2d_aa_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bicubic2d_aa_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bicubic2d_aa_vec(
        &self,
        output_size: impl IntListOption,
        align_corners: bool,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bicubic2d_aa_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bilinear2d_aa(
        &self,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bilinear2d_aa(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bilinear2d_aa_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bilinear2d_aa_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bilinear2d_aa_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bilinear2d_aa_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bilinear2d_aa_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bilinear2d_aa_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_bilinear2d_aa_vec(
        &self,
        output_size: impl IntListOption,
        align_corners: bool,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_bilinear2d_aa_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact1d(
        &self,
        output_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact1d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact1d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact1d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact1d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact1d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact1d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact1d_vec(
        &self,
        output_size: impl IntListOption,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact1d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact2d(
        &self,
        output_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact2d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact2d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact2d_vec(
        &self,
        output_size: impl IntListOption,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact2d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact3d(
        &self,
        output_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact3d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact3d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact3d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_upsample_nearest_exact3d_vec(
        &self,
        output_size: impl IntListOption,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__upsample_nearest_exact3d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_use_cudnn_ctc_loss(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        blank: i64,
    ) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(
            return_ = atg__use_cudnn_ctc_loss(
                log_probs.c_tensor,
                targets.c_tensor,
                input_lengths.as_ptr(),
                input_lengths.len_i32(),
                target_lengths.as_ptr(),
                target_lengths.len_i32(),
                blank
            )
        );
        Ok(return_ != 0)
    }

    pub fn f_internal_use_cudnn_ctc_loss_tensor(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: &Tensor,
        target_lengths: &Tensor,
        blank: i64,
    ) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(
            return_ = atg__use_cudnn_ctc_loss_tensor(
                log_probs.c_tensor,
                targets.c_tensor,
                input_lengths.c_tensor,
                target_lengths.c_tensor,
                blank
            )
        );
        Ok(return_ != 0)
    }

    pub fn f_internal_use_cudnn_rnn_flatten_weight() -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__use_cudnn_rnn_flatten_weight());
        Ok(return_ != 0)
    }

    pub fn f_internal_validate_compressed_sparse_indices(
        is_crow: bool,
        compressed_idx: &Tensor,
        plain_idx: &Tensor,
        cdim: i64,
        dim: i64,
        nnz: i64,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__validate_compressed_sparse_indices(
            if is_crow { 1 } else { 0 },
            compressed_idx.c_tensor,
            plain_idx.c_tensor,
            cdim,
            dim,
            nnz
        ));
        Ok(())
    }

    pub fn f_internal_validate_sparse_bsc_tensor_args(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__validate_sparse_bsc_tensor_args(
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(())
    }

    pub fn f_internal_validate_sparse_bsr_tensor_args(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__validate_sparse_bsr_tensor_args(
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(())
    }

    pub fn f_internal_validate_sparse_compressed_tensor_args(
        compressed_indices: &Tensor,
        plain_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        layout: Layout,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__validate_sparse_compressed_tensor_args(
            compressed_indices.c_tensor,
            plain_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            layout.to_i8()
        ));
        Ok(())
    }

    pub fn f_internal_validate_sparse_csc_tensor_args(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__validate_sparse_csc_tensor_args(
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(())
    }

    pub fn f_internal_validate_sparse_csr_tensor_args(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg__validate_sparse_csr_tensor_args(
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(())
    }

    pub fn f_internal_values(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__values(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_values_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__values_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_values_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__values_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_version(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg__version(self.c_tensor));
        Ok(return_)
    }

    pub fn f_internal_weight_int4pack_mm(
        &self,
        mat2: &Tensor,
        qgroupsize: i64,
        qscaleandzeros: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__weight_int4pack_mm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat2.c_tensor,
            qgroupsize,
            qscaleandzeros.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_weight_int8pack_mm(
        &self,
        mat2: &Tensor,
        scales: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__weight_int8pack_mm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat2.c_tensor,
            scales.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_weight_norm(v: &Tensor, g: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__weight_norm(c_tensors.as_mut_ptr(), v.c_tensor, g.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_weight_norm_differentiable_backward(
        grad_w: &Tensor,
        saved_v: &Tensor,
        saved_g: &Tensor,
        saved_norms: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__weight_norm_differentiable_backward(
            c_tensors.as_mut_ptr(),
            grad_w.c_tensor,
            saved_v.c_tensor,
            saved_g.c_tensor,
            saved_norms.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_weight_norm_interface(
        v: &Tensor,
        g: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__weight_norm_interface(
            c_tensors.as_mut_ptr(),
            v.c_tensor,
            g.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_weight_norm_interface_backward(
        grad_w: &Tensor,
        saved_v: &Tensor,
        saved_g: &Tensor,
        saved_norms: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__weight_norm_interface_backward(
            c_tensors.as_mut_ptr(),
            grad_w.c_tensor,
            saved_v.c_tensor,
            saved_g.c_tensor,
            saved_norms.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_weight_norm_interface_backward_out(
        out0: &Tensor,
        out1: &Tensor,
        grad_w: &Tensor,
        saved_v: &Tensor,
        saved_g: &Tensor,
        saved_norms: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__weight_norm_interface_backward_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            grad_w.c_tensor,
            saved_v.c_tensor,
            saved_g.c_tensor,
            saved_norms.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_weight_norm_interface_out(
        out0: &Tensor,
        out1: &Tensor,
        v: &Tensor,
        g: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg__weight_norm_interface_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            v.c_tensor,
            g.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_internal_wrapped_linear_prepack(
        weight: &Tensor,
        weight_scale: &Tensor,
        weight_zero_point: &Tensor,
        bias: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__wrapped_linear_prepack(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            weight_scale.c_tensor,
            weight_zero_point.c_tensor,
            bias.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_internal_wrapped_quantized_linear_prepacked(
        &self,
        input_scale: &Tensor,
        input_zero_point: &Tensor,
        packed_weight: &Tensor,
        output_scale: &Tensor,
        output_zero_point: &Tensor,
        out_channel: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg__wrapped_quantized_linear_prepacked(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            input_scale.c_tensor,
            input_zero_point.c_tensor,
            packed_weight.c_tensor,
            output_scale.c_tensor,
            output_zero_point.c_tensor,
            out_channel
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_abs(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_abs(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_abs_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_abs_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_abs_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_abs_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_absolute(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_absolute(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_absolute_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_absolute_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_absolute_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_absolute_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_acos(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_acos(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_acos_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_acos_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_acos_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_acos_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_acosh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_acosh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_acosh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_acosh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_acosh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_acosh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_avg_pool1d(&self, output_size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_avg_pool1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_avg_pool2d(&self, output_size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_avg_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_avg_pool2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_avg_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_avg_pool3d(&self, output_size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_avg_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_avg_pool3d_backward(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_avg_pool3d_backward(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_avg_pool3d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_avg_pool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_max_pool1d(
        &self,
        output_size: impl IntList,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_adaptive_max_pool1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_adaptive_max_pool2d(
        &self,
        output_size: impl IntList,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_adaptive_max_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_adaptive_max_pool2d_backward(
        &self,
        grad_output: &Tensor,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_max_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_max_pool2d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_max_pool2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_max_pool2d_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        output_size: impl IntList,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_adaptive_max_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_adaptive_max_pool3d(
        &self,
        output_size: impl IntList,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_adaptive_max_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_adaptive_max_pool3d_backward(
        &self,
        grad_output: &Tensor,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_max_pool3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_max_pool3d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adaptive_max_pool3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adaptive_max_pool3d_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        output_size: impl IntList,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_adaptive_max_pool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_add(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_add(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_add_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_add_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_add_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_add_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_add_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_add_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_add_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_add_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_add_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_add_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addbmm(&self, batch1: &Tensor, batch2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addbmm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            batch1.c_tensor,
            batch2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addbmm_(&mut self, batch1: &Tensor, batch2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addbmm_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            batch1.c_tensor,
            batch2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addbmm_out(
        &self,
        out: &Tensor,
        batch1: &Tensor,
        batch2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addbmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            batch1.c_tensor,
            batch2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addcdiv(&self, tensor1: &Tensor, tensor2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addcdiv(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tensor1.c_tensor,
            tensor2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addcdiv_(&mut self, tensor1: &Tensor, tensor2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addcdiv_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tensor1.c_tensor,
            tensor2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addcdiv_out(
        &self,
        out: &Tensor,
        tensor1: &Tensor,
        tensor2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addcdiv_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            tensor1.c_tensor,
            tensor2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addcmul(&self, tensor1: &Tensor, tensor2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addcmul(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tensor1.c_tensor,
            tensor2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addcmul_(&mut self, tensor1: &Tensor, tensor2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addcmul_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tensor1.c_tensor,
            tensor2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addcmul_out(
        &self,
        out: &Tensor,
        tensor1: &Tensor,
        tensor2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addcmul_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            tensor1.c_tensor,
            tensor2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addmm(&self, mat1: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addmm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addmm_(&mut self, mat1: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addmm_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addmm_out(
        &self,
        out: &Tensor,
        mat1: &Tensor,
        mat2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addmv(&self, mat: &Tensor, vec: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addmv(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat.c_tensor,
            vec.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addmv_(&mut self, mat: &Tensor, vec: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addmv_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat.c_tensor,
            vec.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addmv_out(
        &self,
        out: &Tensor,
        mat: &Tensor,
        vec: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addmv_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat.c_tensor,
            vec.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addr(&self, vec1: &Tensor, vec2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            vec1.c_tensor,
            vec2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addr_(&mut self, vec1: &Tensor, vec2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addr_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            vec1.c_tensor,
            vec2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_addr_out(
        &self,
        out: &Tensor,
        vec1: &Tensor,
        vec2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_addr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            vec1.c_tensor,
            vec2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_adjoint(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_adjoint(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_affine_grid_generator(
        theta: &Tensor,
        size: impl IntList,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_affine_grid_generator(
            c_tensors.as_mut_ptr(),
            theta.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_affine_grid_generator_backward(
        grad: &Tensor,
        size: impl IntList,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_affine_grid_generator_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_affine_grid_generator_out(
        out: &Tensor,
        theta: &Tensor,
        size: impl IntList,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_affine_grid_generator_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            theta.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_alias(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_alias(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_alias_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_alias_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_alias_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_alias_copy_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_align_as(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_align_as(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_align_tensors<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Vec<Tensor>, TchError> {
        let c_tensors =
            unsafe_torch_err!(atg_align_tensors(ptr_list(tensors).as_ptr(), tensors.len() as i32));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_all(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_all(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_all_all_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_all_all_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_all_dim(&self, dim: i64, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_all_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_all_dims(&self, dim: impl IntListOption, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_all_dims(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_all_dims_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_all_dims_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_all_out(&self, out: &Tensor, dim: i64, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_all_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_allclose(
        &self,
        other: &Tensor,
        rtol: f64,
        atol: f64,
        equal_nan: bool,
    ) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(
            return_ = atg_allclose(
                self.c_tensor,
                other.c_tensor,
                rtol,
                atol,
                if equal_nan { 1 } else { 0 }
            )
        );
        Ok(return_ != 0)
    }

    pub fn f_alpha_dropout(&self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_alpha_dropout(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_alpha_dropout_(&mut self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_alpha_dropout_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_amax(&self, dim: impl IntList, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_amax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_amax_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_amax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_amin(&self, dim: impl IntList, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_amin(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_amin_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_amin_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_aminmax(
        &self,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_aminmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_aminmax_out(
        &self,
        min: &Tensor,
        max: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_aminmax_out(
            c_tensors.as_mut_ptr(),
            min.c_tensor,
            max.c_tensor,
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_angle(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_angle(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_angle_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_angle_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_any(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_any(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_any_all_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_any_all_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_any_dim(&self, dim: i64, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_any_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_any_dims(&self, dim: impl IntListOption, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_any_dims(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_any_dims_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_any_dims_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_any_out(&self, out: &Tensor, dim: i64, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_any_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arange<S: Into<Scalar>>(end: S, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arange(
            c_tensors.as_mut_ptr(),
            end.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arange_start<S: Into<Scalar>>(
        start: S,
        end: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arange_start(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arange_start_step<S: Into<Scalar>>(
        start: S,
        end: S,
        step: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arange_start_step(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.into().c_scalar,
            step.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arccos(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arccos(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arccos_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arccos_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arccos_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arccos_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arccosh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arccosh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arccosh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arccosh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arccosh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arccosh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arcsin(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arcsin(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arcsin_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arcsin_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arcsin_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arcsin_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arcsinh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arcsinh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arcsinh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arcsinh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arcsinh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arcsinh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctan(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctan(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctan2(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctan2(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctan2_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctan2_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctan2_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctan2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctan_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctan_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctan_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctan_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctanh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctanh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctanh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctanh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_arctanh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_arctanh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argmax(&self, dim: impl Into<Option<i64>>, keepdim: bool) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argmax_out(
        &self,
        out: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argmin(&self, dim: impl Into<Option<i64>>, keepdim: bool) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argmin(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argmin_out(
        &self,
        out: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argmin_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argsort(&self, dim: i64, descending: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argsort(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argsort_stable(
        &self,
        stable: bool,
        dim: i64,
        descending: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argsort_stable(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if stable { 1 } else { 0 },
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argsort_stable_out(
        &self,
        out: &Tensor,
        stable: bool,
        dim: i64,
        descending: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argsort_stable_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if stable { 1 } else { 0 },
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_argwhere(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_argwhere(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_as_strided(
        &self,
        size: impl IntList,
        stride: impl IntList,
        storage_offset: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let storage_offset = storage_offset.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_as_strided(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            storage_offset.unwrap_or(0i64),
            storage_offset.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_as_strided_(
        &mut self,
        size: impl IntList,
        stride: impl IntList,
        storage_offset: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let storage_offset = storage_offset.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_as_strided_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            storage_offset.unwrap_or(0i64),
            storage_offset.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_as_strided_copy(
        &self,
        size: impl IntList,
        stride: impl IntList,
        storage_offset: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let storage_offset = storage_offset.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_as_strided_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            storage_offset.unwrap_or(0i64),
            storage_offset.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_as_strided_copy_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        stride: impl IntList,
        storage_offset: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let storage_offset = storage_offset.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_as_strided_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            storage_offset.unwrap_or(0i64),
            storage_offset.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_as_strided_scatter(
        &self,
        src: &Tensor,
        size: impl IntList,
        stride: impl IntList,
        storage_offset: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let storage_offset = storage_offset.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_as_strided_scatter(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            storage_offset.unwrap_or(0i64),
            storage_offset.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_as_strided_scatter_out(
        &self,
        out: &Tensor,
        src: &Tensor,
        size: impl IntList,
        stride: impl IntList,
        storage_offset: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let storage_offset = storage_offset.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_as_strided_scatter_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            src.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            storage_offset.unwrap_or(0i64),
            storage_offset.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_asin(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_asin(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_asin_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_asin_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_asin_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_asin_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_asinh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_asinh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_asinh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_asinh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_asinh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_asinh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atan(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atan(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atan2(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atan2(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atan2_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atan2_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atan2_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atan2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atan_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atan_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atan_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atan_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atanh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atanh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atanh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atanh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atanh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atanh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atleast_1d(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atleast_1d(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atleast_1d_sequence<T: Borrow<Tensor>>(
        tensors: &[T],
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_atleast_1d_sequence(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_atleast_2d(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atleast_2d(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atleast_2d_sequence<T: Borrow<Tensor>>(
        tensors: &[T],
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_atleast_2d_sequence(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_atleast_3d(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_atleast_3d(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_atleast_3d_sequence<T: Borrow<Tensor>>(
        tensors: &[T],
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_atleast_3d_sequence(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_avg_pool1d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool2d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool2d_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool2d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool2d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool3d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool3d_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool3d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_avg_pool3d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        ceil_mode: bool,
        count_include_pad: bool,
        divisor_override: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let divisor_override = divisor_override.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_avg_pool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            if ceil_mode { 1 } else { 0 },
            if count_include_pad { 1 } else { 0 },
            divisor_override.unwrap_or(0i64),
            divisor_override.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_baddbmm<S: Into<Scalar>>(
        &self,
        batch1: &Tensor,
        batch2: &Tensor,
        beta: S,
        alpha: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_baddbmm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            batch1.c_tensor,
            batch2.c_tensor,
            beta.into().c_scalar,
            alpha.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_baddbmm_(&mut self, batch1: &Tensor, batch2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_baddbmm_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            batch1.c_tensor,
            batch2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_baddbmm_out(
        &self,
        out: &Tensor,
        batch1: &Tensor,
        batch2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_baddbmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            batch1.c_tensor,
            batch2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bartlett_window(
        window_length: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bartlett_window(
            c_tensors.as_mut_ptr(),
            window_length,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bartlett_window_out(out: &Tensor, window_length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bartlett_window_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bartlett_window_periodic(
        window_length: i64,
        periodic: bool,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bartlett_window_periodic(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bartlett_window_periodic_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bartlett_window_periodic_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_batch_norm<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        momentum: f64,
        eps: f64,
        cudnn_enabled: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_batch_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            momentum,
            eps,
            if cudnn_enabled { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_batch_norm_backward_elemt<T: Borrow<Tensor>>(
        &self,
        grad_out: &Tensor,
        mean: &Tensor,
        invstd: &Tensor,
        weight: Option<T>,
        sum_dy: &Tensor,
        sum_dy_xmu: &Tensor,
        count: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_batch_norm_backward_elemt(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            sum_dy.c_tensor,
            sum_dy_xmu.c_tensor,
            count.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_batch_norm_backward_elemt_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        grad_out: &Tensor,
        mean: &Tensor,
        invstd: &Tensor,
        weight: Option<T>,
        sum_dy: &Tensor,
        sum_dy_xmu: &Tensor,
        count: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_batch_norm_backward_elemt_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_out.c_tensor,
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            sum_dy.c_tensor,
            sum_dy_xmu.c_tensor,
            count.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_batch_norm_backward_reduce<T: Borrow<Tensor>>(
        &self,
        grad_out: &Tensor,
        mean: &Tensor,
        invstd: &Tensor,
        weight: Option<T>,
        input_g: bool,
        weight_g: bool,
        bias_g: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_batch_norm_backward_reduce(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if input_g { 1 } else { 0 },
            if weight_g { 1 } else { 0 },
            if bias_g { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_batch_norm_backward_reduce_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        grad_out: &Tensor,
        mean: &Tensor,
        invstd: &Tensor,
        weight: Option<T>,
        input_g: bool,
        weight_g: bool,
        bias_g: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_batch_norm_backward_reduce_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            grad_out.c_tensor,
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if input_g { 1 } else { 0 },
            if weight_g { 1 } else { 0 },
            if bias_g { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_batch_norm_elemt<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        mean: &Tensor,
        invstd: &Tensor,
        eps: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_batch_norm_elemt(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mean.c_tensor,
            invstd.c_tensor,
            eps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_batch_norm_elemt_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        mean: &Tensor,
        invstd: &Tensor,
        eps: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_batch_norm_elemt_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mean.c_tensor,
            invstd.c_tensor,
            eps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_batch_norm_gather_stats<T: Borrow<Tensor>>(
        &self,
        mean: &Tensor,
        invstd: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
        eps: f64,
        count: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_gather_stats(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum,
            eps,
            count
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_gather_stats_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        mean: &Tensor,
        invstd: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
        eps: f64,
        count: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_gather_stats_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum,
            eps,
            count
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_gather_stats_with_counts<T: Borrow<Tensor>>(
        &self,
        mean: &Tensor,
        invstd: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
        eps: f64,
        counts: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_gather_stats_with_counts(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum,
            eps,
            counts.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_gather_stats_with_counts_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        mean: &Tensor,
        invstd: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
        eps: f64,
        counts: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_gather_stats_with_counts_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            mean.c_tensor,
            invstd.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum,
            eps,
            counts.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_stats(&self, eps: f64) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_stats(c_tensors.as_mut_ptr(), self.c_tensor, eps));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_stats_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        eps: f64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_stats_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            eps
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_update_stats<T: Borrow<Tensor>>(
        &self,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_update_stats(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_batch_norm_update_stats_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        momentum: f64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_batch_norm_update_stats_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            momentum
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_bernoulli(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bernoulli(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bernoulli_(&mut self, p: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bernoulli_(c_tensors.as_mut_ptr(), self.c_tensor, p.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bernoulli_float_(&mut self, p: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bernoulli_float_(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bernoulli_p(&self, p: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bernoulli_p(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bernoulli_tensor(&self, p: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bernoulli_tensor(c_tensors.as_mut_ptr(), self.c_tensor, p.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bilinear<T: Borrow<Tensor>>(
        input1: &Tensor,
        input2: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bilinear(
            c_tensors.as_mut_ptr(),
            input1.c_tensor,
            input2.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binary_cross_entropy<T: Borrow<Tensor>>(
        &self,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binary_cross_entropy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binary_cross_entropy_backward<T: Borrow<Tensor>>(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binary_cross_entropy_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binary_cross_entropy_backward_grad_input<T: Borrow<Tensor>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binary_cross_entropy_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binary_cross_entropy_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binary_cross_entropy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binary_cross_entropy_with_logits<T: Borrow<Tensor>>(
        &self,
        target: &Tensor,
        weight: Option<T>,
        pos_weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binary_cross_entropy_with_logits(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            pos_weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binary_cross_entropy_with_logits_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        pos_weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binary_cross_entropy_with_logits_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            pos_weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bincount<T: Borrow<Tensor>>(
        &self,
        weights: Option<T>,
        minlength: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bincount(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            minlength
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bincount_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weights: Option<T>,
        minlength: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bincount_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            minlength
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binomial(count: &Tensor, prob: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binomial(c_tensors.as_mut_ptr(), count.c_tensor, prob.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_binomial_out(out: &Tensor, count: &Tensor, prob: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_binomial_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            count.c_tensor,
            prob.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_scalar_tensor<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_scalar_tensor(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_and_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_and_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_scalar_tensor<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_scalar_tensor(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_tensor_scalar<S: Into<Scalar>>(
        &self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_tensor_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_tensor_scalar_<S: Into<Scalar>>(
        &mut self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_tensor_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_left_shift_tensor_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_left_shift_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_not(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_not(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_not_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_not_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_not_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_not_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_scalar_tensor<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_scalar_tensor(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_or_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_or_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_scalar_tensor<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_scalar_tensor(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_tensor_scalar<S: Into<Scalar>>(
        &self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_tensor_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_tensor_scalar_<S: Into<Scalar>>(
        &mut self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_tensor_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_right_shift_tensor_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_right_shift_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_scalar_tensor<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_scalar_tensor(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bitwise_xor_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bitwise_xor_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_blackman_window(
        window_length: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_blackman_window(
            c_tensors.as_mut_ptr(),
            window_length,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_blackman_window_out(out: &Tensor, window_length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_blackman_window_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_blackman_window_periodic(
        window_length: i64,
        periodic: bool,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_blackman_window_periodic(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_blackman_window_periodic_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_blackman_window_periodic_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_block_diag<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_block_diag(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_block_diag_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_block_diag_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bmm(&self, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bmm(c_tensors.as_mut_ptr(), self.c_tensor, mat2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bmm_out(&self, out: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_broadcast_tensors<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_broadcast_tensors(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_broadcast_to(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_broadcast_to(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bucketize(
        &self,
        boundaries: &Tensor,
        out_int32: bool,
        right: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bucketize(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            boundaries.c_tensor,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bucketize_scalar<S: Into<Scalar>>(
        self_scalar: S,
        boundaries: &Tensor,
        out_int32: bool,
        right: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bucketize_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            boundaries.c_tensor,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bucketize_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        boundaries: &Tensor,
        out_int32: bool,
        right: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bucketize_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            boundaries.c_tensor,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_bucketize_tensor_out(
        &self,
        out: &Tensor,
        boundaries: &Tensor,
        out_int32: bool,
        right: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_bucketize_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            boundaries.c_tensor,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_can_cast(from_: Kind, to: Kind) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_can_cast(from_.c_int(), to.c_int()));
        Ok(return_ != 0)
    }

    pub fn f_cartesian_prod<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cartesian_prod(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cat<T: Borrow<Tensor>>(tensors: &[T], dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cat(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cat_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cat_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cauchy(&self, median: f64, sigma: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cauchy(c_tensors.as_mut_ptr(), self.c_tensor, median, sigma));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cauchy_(&mut self, median: f64, sigma: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cauchy_(c_tensors.as_mut_ptr(), self.c_tensor, median, sigma));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cauchy_out(&self, out: &Tensor, median: f64, sigma: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cauchy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            median,
            sigma
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ccol_indices(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ccol_indices(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ccol_indices_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ccol_indices_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ccol_indices_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ccol_indices_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cdist(
        x1: &Tensor,
        x2: &Tensor,
        p: f64,
        compute_mode: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let compute_mode = compute_mode.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cdist(
            c_tensors.as_mut_ptr(),
            x1.c_tensor,
            x2.c_tensor,
            p,
            compute_mode.unwrap_or(0i64),
            compute_mode.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ceil(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ceil(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ceil_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ceil_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ceil_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ceil_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_celu(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_celu(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_celu_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_celu_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_celu_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_celu_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_chain_matmul<T: Borrow<Tensor>>(matrices: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_chain_matmul(
            c_tensors.as_mut_ptr(),
            ptr_list(matrices).as_ptr(),
            matrices.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_chain_matmul_out<T: Borrow<Tensor>>(
        out: &Tensor,
        matrices: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_chain_matmul_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(matrices).as_ptr(),
            matrices.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_chalf(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_chalf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_channel_shuffle(&self, groups: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_channel_shuffle(c_tensors.as_mut_ptr(), self.c_tensor, groups));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_channel_shuffle_out(&self, out: &Tensor, groups: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_channel_shuffle_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cholesky(&self, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cholesky(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cholesky_inverse(&self, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cholesky_inverse(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cholesky_inverse_out(&self, out: &Tensor, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cholesky_inverse_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cholesky_out(&self, out: &Tensor, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cholesky_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cholesky_solve(&self, input2: &Tensor, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cholesky_solve(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            input2.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cholesky_solve_out(
        &self,
        out: &Tensor,
        input2: &Tensor,
        upper: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cholesky_solve_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            input2.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_choose_qparams_optimized(
        &self,
        numel: i64,
        n_bins: i64,
        ratio: f64,
        bit_width: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_choose_qparams_optimized(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            numel,
            n_bins,
            ratio,
            bit_width
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_chunk(&self, chunks: i64, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_chunk(self.c_tensor, chunks, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_clamp<S: Into<Scalar>>(&self, min: S, max: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.into().c_scalar,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_<S: Into<Scalar>>(&mut self, min: S, max: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.into().c_scalar,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_max<S: Into<Scalar>>(&self, max: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_max(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_max_<S: Into<Scalar>>(&mut self, max: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_max_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_max_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        max: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_max_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_max_tensor(&self, max: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_max_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            max.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_max_tensor_(&mut self, max: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_max_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            max.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_max_tensor_out(&self, out: &Tensor, max: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_max_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            max.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_min<S: Into<Scalar>>(&self, min: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_min(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_min_<S: Into<Scalar>>(&mut self, min: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_min_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_min_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        min: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_min_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            min.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_min_tensor(&self, min: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_min_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_min_tensor_(&mut self, min: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_min_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_min_tensor_out(&self, out: &Tensor, min: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_min_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            min.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        min: S,
        max: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            min.into().c_scalar,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_tensor<T: Borrow<Tensor>>(
        &self,
        min: Option<T>,
        max: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_tensor_<T: Borrow<Tensor>>(
        &mut self,
        min: Option<T>,
        max: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clamp_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        min: Option<T>,
        max: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clamp_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            min.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clip<S: Into<Scalar>>(&self, min: S, max: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clip(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.into().c_scalar,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clip_<S: Into<Scalar>>(&mut self, min: S, max: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clip_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.into().c_scalar,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clip_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        min: S,
        max: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clip_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            min.into().c_scalar,
            max.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clip_tensor<T: Borrow<Tensor>>(
        &self,
        min: Option<T>,
        max: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clip_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clip_tensor_<T: Borrow<Tensor>>(
        &mut self,
        min: Option<T>,
        max: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clip_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            min.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clip_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        min: Option<T>,
        max: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clip_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            min.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            max.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_clone(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_clone(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_coalesce(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_coalesce(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_col2im(
        &self,
        output_size: impl IntList,
        kernel_size: impl IntList,
        dilation: impl IntList,
        padding: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_col2im(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_col2im_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        kernel_size: impl IntList,
        dilation: impl IntList,
        padding: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_col2im_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_col_indices(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_col_indices(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_col_indices_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_col_indices_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_col_indices_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_col_indices_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_column_stack<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_column_stack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_column_stack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_column_stack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_combinations(&self, r: i64, with_replacement: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_combinations(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            r,
            if with_replacement { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_complex(real: &Tensor, imag: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_complex(c_tensors.as_mut_ptr(), real.c_tensor, imag.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_complex_out(out: &Tensor, real: &Tensor, imag: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_complex_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            real.c_tensor,
            imag.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_concat<T: Borrow<Tensor>>(tensors: &[T], dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_concat(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_concat_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_concat_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_concatenate<T: Borrow<Tensor>>(tensors: &[T], dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_concatenate(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_concatenate_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_concatenate_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conj(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conj(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conj_physical(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conj_physical(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conj_physical_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conj_physical_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conj_physical_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conj_physical_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_constant_pad_nd(&self, pad: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_constant_pad_nd(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            pad.as_ptr(),
            pad.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_constant_pad_nd_out(
        &self,
        out: &Tensor,
        pad: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_constant_pad_nd_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            pad.as_ptr(),
            pad.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_contiguous(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_contiguous(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv1d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv1d_padding<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: &str,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv1d_padding(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len() as i32,
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv2d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv2d_padding<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: &str,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv2d_padding(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len() as i32,
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv3d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv3d_padding<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: &str,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv3d_padding(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len() as i32,
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_depthwise3d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_depthwise3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_depthwise3d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_depthwise3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_tbc(&self, weight: &Tensor, bias: &Tensor, pad: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_tbc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.c_tensor,
            pad
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_tbc_backward(
        &self,
        input: &Tensor,
        weight: &Tensor,
        bias: &Tensor,
        pad: i64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_conv_tbc_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            input.c_tensor,
            weight.c_tensor,
            bias.c_tensor,
            pad
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_conv_tbc_out(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: &Tensor,
        pad: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_tbc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.c_tensor,
            pad
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_transpose1d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        groups: i64,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_transpose1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups,
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_transpose2d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        groups: i64,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_transpose2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups,
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_conv_transpose3d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        groups: i64,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_conv_transpose3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups,
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_convolution_overrideable<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_convolution_overrideable(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_convolution_overrideable_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        transposed: bool,
        output_padding: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_convolution_overrideable_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if transposed { 1 } else { 0 },
            output_padding.as_ptr(),
            output_padding.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copy_sparse_to_sparse(
        &self,
        src: &Tensor,
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copy_sparse_to_sparse(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copy_sparse_to_sparse_(
        &mut self,
        src: &Tensor,
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copy_sparse_to_sparse_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copy_sparse_to_sparse_out(
        &self,
        out: &Tensor,
        src: &Tensor,
        non_blocking: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copy_sparse_to_sparse_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            src.c_tensor,
            if non_blocking { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copysign(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copysign(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copysign_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copysign_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copysign_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copysign_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copysign_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copysign_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copysign_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copysign_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_copysign_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_copysign_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_corrcoef(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_corrcoef(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cos(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cos(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cos_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cos_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cos_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cos_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cosh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cosh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cosh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cosh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cosh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cosh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cosine_embedding_loss(
        input1: &Tensor,
        input2: &Tensor,
        target: &Tensor,
        margin: f64,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cosine_embedding_loss(
            c_tensors.as_mut_ptr(),
            input1.c_tensor,
            input2.c_tensor,
            target.c_tensor,
            margin,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cosine_similarity(
        x1: &Tensor,
        x2: &Tensor,
        dim: i64,
        eps: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cosine_similarity(
            c_tensors.as_mut_ptr(),
            x1.c_tensor,
            x2.c_tensor,
            dim,
            eps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_count_nonzero(&self, dim: impl Into<Option<i64>>) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_count_nonzero(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_count_nonzero_dim_intlist(&self, dim: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_count_nonzero_dim_intlist(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_count_nonzero_dim_intlist_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_count_nonzero_dim_intlist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_count_nonzero_out(
        &self,
        out: &Tensor,
        dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_count_nonzero_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cov<T: Borrow<Tensor>>(
        &self,
        correction: i64,
        fweights: Option<T>,
        aweights: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cov(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            correction,
            fweights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            aweights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cross(&self, other: &Tensor, dim: impl Into<Option<i64>>) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cross(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cross_entropy_loss<T: Borrow<Tensor>>(
        &self,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
        label_smoothing: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cross_entropy_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index,
            label_smoothing
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cross_out(
        &self,
        out: &Tensor,
        other: &Tensor,
        dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cross_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_crow_indices(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_crow_indices(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_crow_indices_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_crow_indices_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_crow_indices_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_crow_indices_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ctc_loss(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: impl IntList,
        target_lengths: impl IntList,
        blank: i64,
        reduction: crate::Reduction,
        zero_infinity: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ctc_loss(
            c_tensors.as_mut_ptr(),
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.as_ptr(),
            input_lengths.len_i32(),
            target_lengths.as_ptr(),
            target_lengths.len_i32(),
            blank,
            reduction.to_int(),
            if zero_infinity { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ctc_loss_tensor(
        log_probs: &Tensor,
        targets: &Tensor,
        input_lengths: &Tensor,
        target_lengths: &Tensor,
        blank: i64,
        reduction: crate::Reduction,
        zero_infinity: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ctc_loss_tensor(
            c_tensors.as_mut_ptr(),
            log_probs.c_tensor,
            targets.c_tensor,
            input_lengths.c_tensor,
            target_lengths.c_tensor,
            blank,
            reduction.to_int(),
            if zero_infinity { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_affine_grid_generator(
        theta: &Tensor,
        n: i64,
        c: i64,
        h: i64,
        w: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_affine_grid_generator(
            c_tensors.as_mut_ptr(),
            theta.c_tensor,
            n,
            c,
            h,
            w
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_affine_grid_generator_backward(
        grad: &Tensor,
        n: i64,
        c: i64,
        h: i64,
        w: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_affine_grid_generator_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            n,
            c,
            h,
            w
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_affine_grid_generator_backward_out(
        out: &Tensor,
        grad: &Tensor,
        n: i64,
        c: i64,
        h: i64,
        w: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_affine_grid_generator_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad.c_tensor,
            n,
            c,
            h,
            w
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_affine_grid_generator_out(
        out: &Tensor,
        theta: &Tensor,
        n: i64,
        c: i64,
        h: i64,
        w: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_affine_grid_generator_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            theta.c_tensor,
            n,
            c,
            h,
            w
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_batch_norm<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        exponential_average_factor: f64,
        epsilon: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_cudnn_batch_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            exponential_average_factor,
            epsilon
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_cudnn_batch_norm_backward<T: Borrow<Tensor>>(
        &self,
        grad_output: &Tensor,
        weight: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        save_mean: Option<T>,
        save_var: Option<T>,
        epsilon: f64,
        reservespace: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_cudnn_batch_norm_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grad_output.c_tensor,
            weight.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            epsilon,
            reservespace.c_tensor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_cudnn_batch_norm_backward_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        grad_output: &Tensor,
        weight: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        save_mean: Option<T>,
        save_var: Option<T>,
        epsilon: f64,
        reservespace: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_cudnn_batch_norm_backward_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            grad_output.c_tensor,
            weight.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            epsilon,
            reservespace.c_tensor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_cudnn_batch_norm_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        exponential_average_factor: f64,
        epsilon: f64,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_cudnn_batch_norm_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            exponential_average_factor,
            epsilon
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_cudnn_convolution(
        &self,
        weight: &Tensor,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        allow_tf32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if allow_tf32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_add_relu<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        weight: &Tensor,
        z: &Tensor,
        alpha: S,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_add_relu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            z.c_tensor,
            alpha.into().c_scalar,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_add_relu_out<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        z: &Tensor,
        alpha: S,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_add_relu_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            z.c_tensor,
            alpha.into().c_scalar,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_out(
        &self,
        out: &Tensor,
        weight: &Tensor,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        allow_tf32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if allow_tf32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_relu<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_relu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_relu_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_relu_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_transpose(
        &self,
        weight: &Tensor,
        padding: impl IntList,
        output_padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        allow_tf32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_transpose(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if allow_tf32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_convolution_transpose_out(
        &self,
        out: &Tensor,
        weight: &Tensor,
        padding: impl IntList,
        output_padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
        allow_tf32: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_convolution_transpose_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 },
            if allow_tf32 { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_grid_sampler(&self, grid: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_grid_sampler(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grid.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_grid_sampler_backward(
        &self,
        grid: &Tensor,
        grad_output: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_cudnn_grid_sampler_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grid.c_tensor,
            grad_output.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_cudnn_grid_sampler_backward_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        grid: &Tensor,
        grad_output: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_cudnn_grid_sampler_backward_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            grid.c_tensor,
            grad_output.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_cudnn_grid_sampler_out(
        &self,
        out: &Tensor,
        grid: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cudnn_grid_sampler_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            grid.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cudnn_is_acceptable(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_cudnn_is_acceptable(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_cummax(&self, dim: i64) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_cummax(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_cummax_out(
        &self,
        values: &Tensor,
        indices: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_cummax_out(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_cummaxmin_backward(
        &self,
        grad: &Tensor,
        indices: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cummaxmin_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            indices.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cummin(&self, dim: i64) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_cummin(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_cummin_out(
        &self,
        values: &Tensor,
        indices: &Tensor,
        dim: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_cummin_out(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_cumprod(&self, dim: i64, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumprod(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumprod_(
        &mut self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumprod_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumprod_backward(
        &self,
        grad: &Tensor,
        dim: i64,
        output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumprod_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            dim,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumprod_out(
        &self,
        out: &Tensor,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumprod_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumsum(&self, dim: i64, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumsum(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumsum_(
        &mut self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumsum_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumsum_out(
        &self,
        out: &Tensor,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumsum_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumulative_trapezoid(y: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumulative_trapezoid(c_tensors.as_mut_ptr(), y.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_cumulative_trapezoid_x(y: &Tensor, x: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_cumulative_trapezoid_x(
            c_tensors.as_mut_ptr(),
            y.c_tensor,
            x.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_data(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_data(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_deg2rad(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_deg2rad(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_deg2rad_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_deg2rad_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_deg2rad_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_deg2rad_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dense_dim(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_dense_dim(self.c_tensor));
        Ok(return_)
    }

    pub fn f_dequantize(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dequantize(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dequantize_self_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dequantize_self_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dequantize_tensors<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_dequantize_tensors(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_dequantize_tensors_out<T: Borrow<Tensor>>(
        out: &[T],
        tensors: &[T],
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_dequantize_tensors_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(())
    }

    pub fn f_det(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_det(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_detach(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_detach(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_detach_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_detach_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_detach_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_detach_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_detach_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_detach_copy_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diag(&self, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diag(c_tensors.as_mut_ptr(), self.c_tensor, diagonal));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diag_embed(&self, offset: i64, dim1: i64, dim2: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diag_embed(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diag_embed_out(
        &self,
        out: &Tensor,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diag_embed_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diag_out(&self, out: &Tensor, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diag_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            diagonal
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagflat(&self, offset: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagflat(c_tensors.as_mut_ptr(), self.c_tensor, offset));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal(&self, offset: i64, dim1: i64, dim2: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal(c_tensors.as_mut_ptr(), self.c_tensor, offset, dim1, dim2));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal_backward(
        grad_output: &Tensor,
        input_sizes: impl IntList,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal_backward_out(
        out: &Tensor,
        grad_output: &Tensor,
        input_sizes: impl IntList,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal_copy(&self, offset: i64, dim1: i64, dim2: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal_copy_out(
        &self,
        out: &Tensor,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal_scatter(
        &self,
        src: &Tensor,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal_scatter(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diagonal_scatter_out(
        &self,
        out: &Tensor,
        src: &Tensor,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diagonal_scatter_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            src.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diff<T: Borrow<Tensor>>(
        &self,
        n: i64,
        dim: i64,
        prepend: Option<T>,
        append: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diff(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n,
            dim,
            prepend.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            append.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_diff_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        n: i64,
        dim: i64,
        prepend: Option<T>,
        append: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_diff_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n,
            dim,
            prepend.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            append.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_digamma(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_digamma(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_digamma_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_digamma_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_digamma_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_digamma_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dist(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dist(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dist_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_out_mode(
        &self,
        out: &Tensor,
        other: &Tensor,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_out_mode(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_scalar_mode<S: Into<Scalar>>(
        &self,
        other: S,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_scalar_mode(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_scalar_mode_<S: Into<Scalar>>(
        &mut self,
        other: S,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_scalar_mode_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_scalar_mode_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_scalar_mode_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_tensor_mode(
        &self,
        other: &Tensor,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_tensor_mode(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_div_tensor_mode_(
        &mut self,
        other: &Tensor,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_div_tensor_mode_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_out_mode(
        &self,
        out: &Tensor,
        other: &Tensor,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_out_mode(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_scalar_mode<S: Into<Scalar>>(
        &self,
        other: S,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_scalar_mode(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_scalar_mode_<S: Into<Scalar>>(
        &mut self,
        other: S,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_scalar_mode_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_tensor_mode(
        &self,
        other: &Tensor,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_tensor_mode(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_divide_tensor_mode_(
        &mut self,
        other: &Tensor,
        rounding_mode: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_divide_tensor_mode_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            rounding_mode.as_ptr(),
            rounding_mode.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dot(&self, tensor: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dot(c_tensors.as_mut_ptr(), self.c_tensor, tensor.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dot_out(&self, out: &Tensor, tensor: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dot_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            tensor.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dropout(&self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dropout(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dropout_(&mut self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dropout_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dsplit(&self, sections: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_dsplit(self.c_tensor, sections));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_dsplit_array(&self, indices: impl IntList) -> Result<Vec<Tensor>, TchError> {
        let c_tensors =
            unsafe_torch_err!(atg_dsplit_array(self.c_tensor, indices.as_ptr(), indices.len_i32()));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_dstack<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dstack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_dstack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_dstack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_einsum<T: Borrow<Tensor>>(
        equation: &str,
        tensors: &[T],
        path: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_einsum(
            c_tensors.as_mut_ptr(),
            equation.as_ptr(),
            equation.len() as i32,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            path.as_ptr(),
            path.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_elu(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_elu(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_elu_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_elu_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_elu_backward<S: Into<Scalar>>(
        grad_output: &Tensor,
        alpha: S,
        scale: S,
        input_scale: S,
        is_result: bool,
        self_or_result: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_elu_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            alpha.into().c_scalar,
            scale.into().c_scalar,
            input_scale.into().c_scalar,
            if is_result { 1 } else { 0 },
            self_or_result.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_elu_backward_grad_input<S: Into<Scalar>>(
        grad_input: &Tensor,
        grad_output: &Tensor,
        alpha: S,
        scale: S,
        input_scale: S,
        is_result: bool,
        self_or_result: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_elu_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            alpha.into().c_scalar,
            scale.into().c_scalar,
            input_scale.into().c_scalar,
            if is_result { 1 } else { 0 },
            self_or_result.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_elu_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_elu_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding(
        weight: &Tensor,
        indices: &Tensor,
        padding_idx: i64,
        scale_grad_by_freq: bool,
        sparse: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            indices.c_tensor,
            padding_idx,
            if scale_grad_by_freq { 1 } else { 0 },
            if sparse { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_backward(
        grad: &Tensor,
        indices: &Tensor,
        num_weights: i64,
        padding_idx: i64,
        scale_grad_by_freq: bool,
        sparse: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            indices.c_tensor,
            num_weights,
            padding_idx,
            if scale_grad_by_freq { 1 } else { 0 },
            if sparse { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_bag<T: Borrow<Tensor>>(
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        include_last_offset: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_embedding_bag(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if include_last_offset { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_embedding_bag_padding_idx<T: Borrow<Tensor>>(
        weight: &Tensor,
        indices: &Tensor,
        offsets: &Tensor,
        scale_grad_by_freq: bool,
        mode: i64,
        sparse: bool,
        per_sample_weights: Option<T>,
        include_last_offset: bool,
        padding_idx: impl Into<Option<i64>>,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let padding_idx = padding_idx.into();
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_embedding_bag_padding_idx(
            c_tensors.as_mut_ptr(),
            weight.c_tensor,
            indices.c_tensor,
            offsets.c_tensor,
            if scale_grad_by_freq { 1 } else { 0 },
            mode,
            if sparse { 1 } else { 0 },
            per_sample_weights.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if include_last_offset { 1 } else { 0 },
            padding_idx.unwrap_or(0i64),
            padding_idx.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_embedding_dense_backward(
        grad_output: &Tensor,
        indices: &Tensor,
        num_weights: i64,
        padding_idx: i64,
        scale_grad_by_freq: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_dense_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            indices.c_tensor,
            num_weights,
            padding_idx,
            if scale_grad_by_freq { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_dense_backward_out(
        out: &Tensor,
        grad_output: &Tensor,
        indices: &Tensor,
        num_weights: i64,
        padding_idx: i64,
        scale_grad_by_freq: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_dense_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            indices.c_tensor,
            num_weights,
            padding_idx,
            if scale_grad_by_freq { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_out(
        out: &Tensor,
        weight: &Tensor,
        indices: &Tensor,
        padding_idx: i64,
        scale_grad_by_freq: bool,
        sparse: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            weight.c_tensor,
            indices.c_tensor,
            padding_idx,
            if scale_grad_by_freq { 1 } else { 0 },
            if sparse { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_renorm(
        &self,
        indices: &Tensor,
        max_norm: f64,
        norm_type: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_renorm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            indices.c_tensor,
            max_norm,
            norm_type
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_renorm_(
        &mut self,
        indices: &Tensor,
        max_norm: f64,
        norm_type: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_renorm_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            indices.c_tensor,
            max_norm,
            norm_type
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_renorm_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        max_norm: f64,
        norm_type: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_renorm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            indices.c_tensor,
            max_norm,
            norm_type
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_embedding_sparse_backward(
        grad: &Tensor,
        indices: &Tensor,
        num_weights: i64,
        padding_idx: i64,
        scale_grad_by_freq: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_embedding_sparse_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            indices.c_tensor,
            num_weights,
            padding_idx,
            if scale_grad_by_freq { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty(size: impl IntList, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_like(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_like(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_like_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_like_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_out(out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_permuted(
        size: impl IntList,
        physical_layout: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_permuted(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            physical_layout.as_ptr(),
            physical_layout.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_permuted_out(
        out: &Tensor,
        size: impl IntList,
        physical_layout: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_permuted_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            physical_layout.as_ptr(),
            physical_layout.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_quantized(
        size: impl IntList,
        qtensor: &Tensor,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_quantized(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            qtensor.c_tensor,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_quantized_out(
        out: &Tensor,
        size: impl IntList,
        qtensor: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_quantized_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            qtensor.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_strided(
        size: impl IntList,
        stride: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_strided(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_empty_strided_out(
        out: &Tensor,
        size: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_empty_strided_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eq<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eq(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eq_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eq_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eq_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eq_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eq_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eq_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eq_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eq_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eq_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eq_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_equal(&self, other: &Tensor) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_equal(self.c_tensor, other.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_erf(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erf_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erf_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erf_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erf_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erfc(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erfc(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erfc_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erfc_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erfc_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erfc_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erfinv(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erfinv(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erfinv_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erfinv_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_erfinv_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_erfinv_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exp(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exp(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exp2(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exp2(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exp2_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exp2_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exp2_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exp2_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exp_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exp_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exp_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exp_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expand(&self, size: impl IntList, implicit: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expand(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            if implicit { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expand_as(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expand_as(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expand_copy(&self, size: impl IntList, implicit: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expand_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            if implicit { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expand_copy_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        implicit: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expand_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            if implicit { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expm1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expm1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expm1_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expm1_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_expm1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_expm1_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exponential(&self, lambd: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exponential(c_tensors.as_mut_ptr(), self.c_tensor, lambd));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exponential_(&mut self, lambd: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exponential_(c_tensors.as_mut_ptr(), self.c_tensor, lambd));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_exponential_out(&self, out: &Tensor, lambd: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_exponential_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            lambd
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eye(n: i64, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eye(c_tensors.as_mut_ptr(), n, options.0.c_int(), options.1.c_int()));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eye_m(n: i64, m: i64, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eye_m(
            c_tensors.as_mut_ptr(),
            n,
            m,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eye_m_out(out: &Tensor, n: i64, m: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eye_m_out(c_tensors.as_mut_ptr(), out.c_tensor, n, m));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_eye_out(out: &Tensor, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_eye_out(c_tensors.as_mut_ptr(), out.c_tensor, n));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fake_quantize_per_channel_affine(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fake_quantize_per_channel_affine(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis,
            quant_min,
            quant_max
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fake_quantize_per_channel_affine_cachemask(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fake_quantize_per_channel_affine_cachemask(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis,
            quant_min,
            quant_max
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fake_quantize_per_channel_affine_cachemask_backward(
        grad: &Tensor,
        mask: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fake_quantize_per_channel_affine_cachemask_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            mask.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fake_quantize_per_channel_affine_cachemask_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        axis: i64,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fake_quantize_per_channel_affine_cachemask_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            axis,
            quant_min,
            quant_max
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fake_quantize_per_tensor_affine(
        &self,
        scale: f64,
        zero_point: i64,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fake_quantize_per_tensor_affine(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale,
            zero_point,
            quant_min,
            quant_max
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fake_quantize_per_tensor_affine_cachemask(
        &self,
        scale: f64,
        zero_point: i64,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fake_quantize_per_tensor_affine_cachemask(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale,
            zero_point,
            quant_min,
            quant_max
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fake_quantize_per_tensor_affine_cachemask_backward(
        grad: &Tensor,
        mask: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fake_quantize_per_tensor_affine_cachemask_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            mask.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fake_quantize_per_tensor_affine_cachemask_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        scale: f64,
        zero_point: i64,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fake_quantize_per_tensor_affine_cachemask_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            scale,
            zero_point,
            quant_min,
            quant_max
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fake_quantize_per_tensor_affine_tensor_qparams(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        quant_min: i64,
        quant_max: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fake_quantize_per_tensor_affine_tensor_qparams(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            quant_min,
            quant_max
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_linear_fp16_weight(
        &self,
        packed_weight: &Tensor,
        bias: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_linear_fp16_weight(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            packed_weight.c_tensor,
            bias.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_linear_fp16_weight_fp32_activation(
        &self,
        packed_weight: &Tensor,
        bias: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_linear_fp16_weight_fp32_activation(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            packed_weight.c_tensor,
            bias.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_linear_int8_weight<S: Into<Scalar>>(
        &self,
        weight: &Tensor,
        packed: &Tensor,
        col_offsets: &Tensor,
        weight_scale: S,
        weight_zero_point: S,
        bias: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_linear_int8_weight(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            packed.c_tensor,
            col_offsets.c_tensor,
            weight_scale.into().c_scalar,
            weight_zero_point.into().c_scalar,
            bias.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_linear_int8_weight_fp32_activation<S: Into<Scalar>>(
        &self,
        weight: &Tensor,
        packed: &Tensor,
        col_offsets: &Tensor,
        weight_scale: S,
        weight_zero_point: S,
        bias: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_linear_int8_weight_fp32_activation(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            packed.c_tensor,
            col_offsets.c_tensor,
            weight_scale.into().c_scalar,
            weight_zero_point.into().c_scalar,
            bias.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_pack_gemm_matrix_fp16(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_pack_gemm_matrix_fp16(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_pack_quantized_matrix(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_pack_quantized_matrix(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fbgemm_pack_quantized_matrix_kn(&self, k: i64, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fbgemm_pack_quantized_matrix_kn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            k,
            n
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_feature_alpha_dropout(&self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_feature_alpha_dropout(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_feature_alpha_dropout_(&mut self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_feature_alpha_dropout_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_feature_dropout(&self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_feature_dropout(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_feature_dropout_(&mut self, p: f64, train: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_feature_dropout_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fft(
        &self,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fft2(
        &self,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fft2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fft2_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fft2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fft_out(
        &self,
        out: &Tensor,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fft_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fftfreq(n: i64, d: f64, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fftfreq(
            c_tensors.as_mut_ptr(),
            n,
            d,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fftfreq_out(out: &Tensor, n: i64, d: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fftfreq_out(c_tensors.as_mut_ptr(), out.c_tensor, n, d));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fftn(
        &self,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fftn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fftn_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fftn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_fftshift(&self, dim: impl IntListOption) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_fftshift(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_hfft(
        &self,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_hfft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_hfft2(
        &self,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_hfft2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_hfft2_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_hfft2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_hfft_out(
        &self,
        out: &Tensor,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_hfft_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_hfftn(
        &self,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_hfftn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_hfftn_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_hfftn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifft(
        &self,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifft2(
        &self,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifft2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifft2_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifft2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifft_out(
        &self,
        out: &Tensor,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifft_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifftn(
        &self,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifftn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifftn_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifftn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ifftshift(&self, dim: impl IntListOption) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ifftshift(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ihfft(
        &self,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ihfft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ihfft2(
        &self,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ihfft2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ihfft2_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ihfft2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ihfft_out(
        &self,
        out: &Tensor,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ihfft_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ihfftn(
        &self,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ihfftn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_ihfftn_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_ihfftn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_irfft(
        &self,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_irfft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_irfft2(
        &self,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_irfft2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_irfft2_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_irfft2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_irfft_out(
        &self,
        out: &Tensor,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_irfft_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_irfftn(
        &self,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_irfftn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_irfftn_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_irfftn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfft(
        &self,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfft2(
        &self,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfft2(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfft2_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntList,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfft2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfft_out(
        &self,
        out: &Tensor,
        n: impl Into<Option<i64>>,
        dim: i64,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfft_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            dim,
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfftfreq(n: i64, d: f64, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfftfreq(
            c_tensors.as_mut_ptr(),
            n,
            d,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfftfreq_out(out: &Tensor, n: i64, d: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfftfreq_out(c_tensors.as_mut_ptr(), out.c_tensor, n, d));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfftn(
        &self,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfftn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fft_rfftn_out(
        &self,
        out: &Tensor,
        s: impl IntListOption,
        dim: impl IntListOption,
        norm: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fft_rfftn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            s.as_ptr(),
            s.len_i32(),
            dim.as_ptr(),
            dim.len_i32(),
            norm.as_ptr(),
            norm.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill<S: Into<Scalar>>(&self, value: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill(c_tensors.as_mut_ptr(), self.c_tensor, value.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill_<S: Into<Scalar>>(&mut self, value: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill_(c_tensors.as_mut_ptr(), self.c_tensor, value.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill_diagonal_<S: Into<Scalar>>(
        &mut self,
        fill_value: S,
        wrap: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill_diagonal_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            fill_value.into().c_scalar,
            if wrap { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill_tensor(&self, value: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill_tensor(c_tensors.as_mut_ptr(), self.c_tensor, value.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill_tensor_(&mut self, value: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, value.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fill_tensor_out(&self, out: &Tensor, value: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fill_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fix(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fix(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fix_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fix_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fix_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fix_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_flatten(&self, start_dim: i64, end_dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_flatten(c_tensors.as_mut_ptr(), self.c_tensor, start_dim, end_dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_flatten_dense_tensors<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_flatten_dense_tensors(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_flip(&self, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_flip(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_flip_out(&self, out: &Tensor, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_flip_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fliplr(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fliplr(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_flipud(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_flipud(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power(&self, exponent: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_<S: Into<Scalar>>(&mut self, exponent: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_scalar<S: Into<Scalar>>(
        self_scalar: S,
        exponent: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        exponent: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_tensor_(&mut self, exponent: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_tensor_scalar<S: Into<Scalar>>(
        &self,
        exponent: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_tensor_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_tensor_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        exponent: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            exponent.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_float_power_tensor_tensor_out(
        &self,
        out: &Tensor,
        exponent: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_float_power_tensor_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_divide(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_divide(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_divide_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_divide_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_divide_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_divide_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_divide_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_divide_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_divide_scalar_<S: Into<Scalar>>(
        &mut self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_divide_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_divide_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_divide_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_floor_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_floor_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmax(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmax(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmax_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmax_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmin(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmin(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmin_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmin_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmod<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmod(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmod_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmod_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmod_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmod_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmod_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmod_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmod_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmod_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fmod_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fmod_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_frac(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_frac(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_frac_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_frac_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_frac_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_frac_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fractional_max_pool2d(
        &self,
        kernel_size: impl IntList,
        output_size: impl IntList,
        random_samples: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fractional_max_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            random_samples.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fractional_max_pool2d_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        output_size: impl IntList,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fractional_max_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fractional_max_pool2d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        output_size: impl IntList,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fractional_max_pool2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fractional_max_pool2d_output(
        &self,
        output: &Tensor,
        indices: &Tensor,
        kernel_size: impl IntList,
        output_size: impl IntList,
        random_samples: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fractional_max_pool2d_output(
            c_tensors.as_mut_ptr(),
            output.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            random_samples.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fractional_max_pool3d(
        &self,
        kernel_size: impl IntList,
        output_size: impl IntList,
        random_samples: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fractional_max_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            random_samples.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_fractional_max_pool3d_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        output_size: impl IntList,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fractional_max_pool3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fractional_max_pool3d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        output_size: impl IntList,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fractional_max_pool3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fractional_max_pool3d_output(
        &self,
        output: &Tensor,
        indices: &Tensor,
        kernel_size: impl IntList,
        output_size: impl IntList,
        random_samples: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_fractional_max_pool3d_output(
            c_tensors.as_mut_ptr(),
            output.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            output_size.as_ptr(),
            output_size.len_i32(),
            random_samples.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_frexp(&self) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_frexp(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_frexp_tensor_out(
        &self,
        mantissa: &Tensor,
        exponent: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_frexp_tensor_out(
            c_tensors.as_mut_ptr(),
            mantissa.c_tensor,
            exponent.c_tensor,
            self.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_frobenius_norm(&self, dim: impl IntList, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_frobenius_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_frobenius_norm_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_frobenius_norm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_from_file(
        filename: &str,
        shared: bool,
        size: impl Into<Option<i64>>,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let size = size.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_from_file(
            c_tensors.as_mut_ptr(),
            filename.as_ptr(),
            filename.len() as i32,
            if shared { 1 } else { 0 },
            size.unwrap_or(0i64),
            size.is_none() as i8,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_from_file_out(
        out: &Tensor,
        filename: &str,
        shared: bool,
        size: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let size = size.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_from_file_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            filename.as_ptr(),
            filename.len() as i32,
            if shared { 1 } else { 0 },
            size.unwrap_or(0i64),
            size.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_full<S: Into<Scalar>>(
        size: impl IntList,
        fill_value: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_full(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            fill_value.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_full_like<S: Into<Scalar>>(&self, fill_value: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_full_like(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            fill_value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_full_like_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        fill_value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_full_like_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            fill_value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_full_out<S: Into<Scalar>>(
        out: &Tensor,
        size: impl IntList,
        fill_value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_full_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            fill_value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_fused_moving_avg_obs_fake_quant(
        &self,
        observer_on: &Tensor,
        fake_quant_on: &Tensor,
        running_min: &Tensor,
        running_max: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        averaging_const: f64,
        quant_min: i64,
        quant_max: i64,
        ch_axis: i64,
        per_row_fake_quant: bool,
        symmetric_quant: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_fused_moving_avg_obs_fake_quant(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            observer_on.c_tensor,
            fake_quant_on.c_tensor,
            running_min.c_tensor,
            running_max.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            averaging_const,
            quant_min,
            quant_max,
            ch_axis,
            if per_row_fake_quant { 1 } else { 0 },
            if symmetric_quant { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gather(
        &self,
        dim: i64,
        index: &Tensor,
        sparse_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gather(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            if sparse_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gather_backward(
        &self,
        grad: &Tensor,
        dim: i64,
        index: &Tensor,
        sparse_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gather_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            if sparse_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gather_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        sparse_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gather_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            if sparse_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gcd(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gcd(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gcd_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gcd_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gcd_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gcd_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ge<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ge(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ge_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ge_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ge_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ge_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ge_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ge_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ge_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ge_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ge_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ge_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gelu(&self, approximate: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gelu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            approximate.as_ptr(),
            approximate.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gelu_(&mut self, approximate: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gelu_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            approximate.as_ptr(),
            approximate.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gelu_backward(
        &self,
        grad_output: &Tensor,
        approximate: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gelu_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            approximate.as_ptr(),
            approximate.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gelu_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        approximate: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gelu_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            approximate.as_ptr(),
            approximate.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gelu_out(&self, out: &Tensor, approximate: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gelu_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            approximate.as_ptr(),
            approximate.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_geometric(&self, p: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_geometric(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_geometric_(&mut self, p: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_geometric_(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_geometric_out(&self, out: &Tensor, p: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_geometric_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_geqrf(&self) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_geqrf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_geqrf_a(&self, a: &Tensor, tau: &Tensor) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_geqrf_a(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            tau.c_tensor,
            self.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_ger(&self, vec2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ger(c_tensors.as_mut_ptr(), self.c_tensor, vec2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ger_out(&self, out: &Tensor, vec2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ger_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            vec2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_backward(&self, grad_output: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_backward_jvp(
        grad_x: &Tensor,
        grad_glu: &Tensor,
        x: &Tensor,
        dgrad_glu: &Tensor,
        dx: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_backward_jvp(
            c_tensors.as_mut_ptr(),
            grad_x.c_tensor,
            grad_glu.c_tensor,
            x.c_tensor,
            dgrad_glu.c_tensor,
            dx.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_backward_jvp_out(
        out: &Tensor,
        grad_x: &Tensor,
        grad_glu: &Tensor,
        x: &Tensor,
        dgrad_glu: &Tensor,
        dx: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_backward_jvp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_x.c_tensor,
            grad_glu.c_tensor,
            x.c_tensor,
            dgrad_glu.c_tensor,
            dx.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_jvp(glu: &Tensor, x: &Tensor, dx: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_jvp(
            c_tensors.as_mut_ptr(),
            glu.c_tensor,
            x.c_tensor,
            dx.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_jvp_out(
        out: &Tensor,
        glu: &Tensor,
        x: &Tensor,
        dx: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_jvp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            glu.c_tensor,
            x.c_tensor,
            dx.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_glu_out(&self, out: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_glu_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_grad(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_grad(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_equal<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_equal(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_equal_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_equal_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_equal_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_equal_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_equal_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_equal_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_equal_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_equal_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_equal_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_equal_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_greater_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_greater_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_grid_sampler(
        &self,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_grid_sampler(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_grid_sampler_2d(
        &self,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_grid_sampler_2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_grid_sampler_2d_out(
        &self,
        out: &Tensor,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_grid_sampler_2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_grid_sampler_3d(
        &self,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_grid_sampler_3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_grid_sampler_3d_out(
        &self,
        out: &Tensor,
        grid: &Tensor,
        interpolation_mode: i64,
        padding_mode: i64,
        align_corners: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_grid_sampler_3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            grid.c_tensor,
            interpolation_mode,
            padding_mode,
            if align_corners { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_group_norm<T: Borrow<Tensor>>(
        &self,
        num_groups: i64,
        weight: Option<T>,
        bias: Option<T>,
        eps: f64,
        cudnn_enabled: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_group_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            num_groups,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            eps,
            if cudnn_enabled { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gru<T: Borrow<Tensor>>(
        &self,
        hx: &Tensor,
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_gru(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_gru_cell<T: Borrow<Tensor>>(
        &self,
        hx: &Tensor,
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: Option<T>,
        b_hh: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gru_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            b_hh.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gru_data<T: Borrow<Tensor>>(
        data: &Tensor,
        batch_sizes: &Tensor,
        hx: &Tensor,
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_gru_data(
            c_tensors.as_mut_ptr(),
            data.c_tensor,
            batch_sizes.c_tensor,
            hx.c_tensor,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_gt<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gt(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gt_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gt_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gt_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gt_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gt_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gt_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gt_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gt_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_gt_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_gt_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window(
        window_length: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window(
            c_tensors.as_mut_ptr(),
            window_length,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_out(out: &Tensor, window_length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_periodic(
        window_length: i64,
        periodic: bool,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_periodic(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_periodic_alpha(
        window_length: i64,
        periodic: bool,
        alpha: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_periodic_alpha(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            alpha,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_periodic_alpha_beta(
        window_length: i64,
        periodic: bool,
        alpha: f64,
        beta: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_periodic_alpha_beta(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            alpha,
            beta,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_periodic_alpha_beta_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
        alpha: f64,
        beta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_periodic_alpha_beta_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 },
            alpha,
            beta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_periodic_alpha_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
        alpha: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_periodic_alpha_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 },
            alpha
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hamming_window_periodic_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hamming_window_periodic_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hann_window(window_length: i64, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hann_window(
            c_tensors.as_mut_ptr(),
            window_length,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hann_window_out(out: &Tensor, window_length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hann_window_out(c_tensors.as_mut_ptr(), out.c_tensor, window_length));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hann_window_periodic(
        window_length: i64,
        periodic: bool,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hann_window_periodic(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hann_window_periodic_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hann_window_periodic_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardshrink(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardshrink(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardshrink_backward<S: Into<Scalar>>(
        &self,
        grad_out: &Tensor,
        lambd: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardshrink_backward(
            c_tensors.as_mut_ptr(),
            grad_out.c_tensor,
            self.c_tensor,
            lambd.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardshrink_backward_grad_input<S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_out: &Tensor,
        lambd: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardshrink_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_out.c_tensor,
            self.c_tensor,
            lambd.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardshrink_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardshrink_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardsigmoid(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardsigmoid(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardsigmoid_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardsigmoid_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardsigmoid_backward(&self, grad_output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardsigmoid_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardsigmoid_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardsigmoid_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardsigmoid_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardsigmoid_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardswish(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardswish(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardswish_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardswish_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardswish_backward(&self, grad_output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardswish_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardswish_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardswish_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardswish_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardswish_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardtanh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardtanh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardtanh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardtanh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardtanh_backward<S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        min_val: S,
        max_val: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardtanh_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            min_val.into().c_scalar,
            max_val.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardtanh_backward_grad_input<S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        min_val: S,
        max_val: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardtanh_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            min_val.into().c_scalar,
            max_val.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hardtanh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hardtanh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_heaviside(&self, values: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_heaviside(c_tensors.as_mut_ptr(), self.c_tensor, values.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_heaviside_(&mut self, values: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_heaviside_(c_tensors.as_mut_ptr(), self.c_tensor, values.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_heaviside_out(&self, out: &Tensor, values: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_heaviside_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            values.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hinge_embedding_loss(
        &self,
        target: &Tensor,
        margin: f64,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hinge_embedding_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            margin,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_histc(&self, bins: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_histc(c_tensors.as_mut_ptr(), self.c_tensor, bins));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_histc_out(&self, out: &Tensor, bins: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_histc_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor, bins));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_histogram<T: Borrow<Tensor>>(
        &self,
        bins: &Tensor,
        weight: Option<T>,
        density: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_histogram(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            bins.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_histogram_bin_ct<T: Borrow<Tensor>>(
        &self,
        bins: i64,
        range: impl DoubleList,
        weight: Option<T>,
        density: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_histogram_bin_ct(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            bins,
            range.as_ptr(),
            range.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_histogram_bin_ct_out<T: Borrow<Tensor>>(
        &self,
        hist: &Tensor,
        bin_edges: &Tensor,
        bins: i64,
        range: impl DoubleList,
        weight: Option<T>,
        density: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_histogram_bin_ct_out(
            c_tensors.as_mut_ptr(),
            hist.c_tensor,
            bin_edges.c_tensor,
            self.c_tensor,
            bins,
            range.as_ptr(),
            range.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_histogram_bins_tensor_out<T: Borrow<Tensor>>(
        &self,
        hist: &Tensor,
        bin_edges: &Tensor,
        bins: &Tensor,
        weight: Option<T>,
        density: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_histogram_bins_tensor_out(
            c_tensors.as_mut_ptr(),
            hist.c_tensor,
            bin_edges.c_tensor,
            self.c_tensor,
            bins.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if density { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_hsplit(&self, sections: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_hsplit(self.c_tensor, sections));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_hsplit_array(&self, indices: impl IntList) -> Result<Vec<Tensor>, TchError> {
        let c_tensors =
            unsafe_torch_err!(atg_hsplit_array(self.c_tensor, indices.as_ptr(), indices.len_i32()));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_hspmm(mat1: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hspmm(c_tensors.as_mut_ptr(), mat1.c_tensor, mat2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hspmm_out(out: &Tensor, mat1: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hspmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hstack<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hstack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hstack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hstack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_huber_loss(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
        delta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_huber_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            delta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_huber_loss_backward(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        delta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_huber_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            delta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_huber_loss_backward_out(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        delta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_huber_loss_backward_out(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            delta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_huber_loss_out(
        &self,
        out: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        delta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_huber_loss_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            delta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hypot(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hypot(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hypot_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hypot_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_hypot_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_hypot_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_i0(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_i0(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_i0_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_i0_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_i0_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_i0_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_igamma(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_igamma(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_igamma_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_igamma_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_igamma_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_igamma_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_igammac(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_igammac(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_igammac_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_igammac_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_igammac_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_igammac_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_im2col(
        &self,
        kernel_size: impl IntList,
        dilation: impl IntList,
        padding: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_im2col(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_im2col_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        dilation: impl IntList,
        padding: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_im2col_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_imag(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_imag(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index<T: Borrow<Tensor>>(&self, indices: &[Option<T>]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_add(
        &self,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_add(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_add_(
        &mut self,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_add_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_add_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_add_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_copy(
        &self,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_copy_(
        &mut self,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_copy_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_copy_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_fill<S: Into<Scalar>>(
        &self,
        dim: i64,
        index: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_fill(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_fill_<S: Into<Scalar>>(
        &mut self,
        dim: i64,
        index: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_fill_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_fill_int_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_fill_int_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_fill_int_tensor(
        &self,
        dim: i64,
        index: &Tensor,
        value: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_fill_int_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_fill_int_tensor_(
        &mut self,
        dim: i64,
        index: &Tensor,
        value: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_fill_int_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_fill_int_tensor_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        value: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_fill_int_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_put<T: Borrow<Tensor>>(
        &self,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_put(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_put_<T: Borrow<Tensor>>(
        &mut self,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_put_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_put_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        indices: &[Option<T>],
        values: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_put_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32,
            values.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_reduce(
        &self,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
        reduce: &str,
        include_self: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_reduce(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            if include_self { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_reduce_(
        &mut self,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
        reduce: &str,
        include_self: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_reduce_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            if include_self { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_reduce_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        source: &Tensor,
        reduce: &str,
        include_self: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_reduce_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            source.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            if include_self { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_select(&self, dim: i64, index: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_select(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_select_backward(
        grad: &Tensor,
        self_sizes: impl IntList,
        dim: i64,
        index: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_select_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self_sizes.as_ptr(),
            self_sizes.len_i32(),
            dim,
            index.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_select_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_select_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_index_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        indices: &[Option<T>],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_index_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ptr_list_opt(indices).as_ptr(),
            indices.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_indices(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_indices(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_indices_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_indices_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_indices_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_indices_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_infinitely_differentiable_gelu_backward(
        &self,
        grad: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_infinitely_differentiable_gelu_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_inner(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_inner(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_inner_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_inner_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_instance_norm<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        use_input_stats: bool,
        momentum: f64,
        eps: f64,
        cudnn_enabled: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_instance_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if use_input_stats { 1 } else { 0 },
            momentum,
            eps,
            if cudnn_enabled { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_int_repr(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_int_repr(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_int_repr_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_int_repr_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_inverse(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_inverse(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_inverse_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_inverse_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_is_coalesced(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_coalesced(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_complex(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_complex(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_conj(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_conj(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_distributed(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_distributed(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_floating_point(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_floating_point(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_inference(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_inference(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_leaf(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_leaf(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_neg(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_neg(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_nonzero(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_nonzero(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_pinned(&self, device: Device) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_pinned(self.c_tensor, device.c_int()));
        Ok(return_ != 0)
    }

    pub fn f_is_same_size(&self, other: &Tensor) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_same_size(self.c_tensor, other.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_set_to(&self, tensor: &Tensor) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_set_to(self.c_tensor, tensor.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_signed(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_signed(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_is_vulkan_available() -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_is_vulkan_available());
        Ok(return_ != 0)
    }

    pub fn f_isclose(
        &self,
        other: &Tensor,
        rtol: f64,
        atol: f64,
        equal_nan: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isclose(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            rtol,
            atol,
            if equal_nan { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isfinite(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isfinite(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isin(
        elements: &Tensor,
        test_elements: &Tensor,
        assume_unique: bool,
        invert: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isin(
            c_tensors.as_mut_ptr(),
            elements.c_tensor,
            test_elements.c_tensor,
            if assume_unique { 1 } else { 0 },
            if invert { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isin_scalar_tensor<S: Into<Scalar>>(
        element: S,
        test_elements: &Tensor,
        assume_unique: bool,
        invert: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isin_scalar_tensor(
            c_tensors.as_mut_ptr(),
            element.into().c_scalar,
            test_elements.c_tensor,
            if assume_unique { 1 } else { 0 },
            if invert { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isin_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        element: S,
        test_elements: &Tensor,
        assume_unique: bool,
        invert: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isin_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            element.into().c_scalar,
            test_elements.c_tensor,
            if assume_unique { 1 } else { 0 },
            if invert { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isin_tensor_scalar<S: Into<Scalar>>(
        elements: &Tensor,
        test_element: S,
        assume_unique: bool,
        invert: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isin_tensor_scalar(
            c_tensors.as_mut_ptr(),
            elements.c_tensor,
            test_element.into().c_scalar,
            if assume_unique { 1 } else { 0 },
            if invert { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isin_tensor_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        elements: &Tensor,
        test_element: S,
        assume_unique: bool,
        invert: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isin_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            elements.c_tensor,
            test_element.into().c_scalar,
            if assume_unique { 1 } else { 0 },
            if invert { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isin_tensor_tensor_out(
        out: &Tensor,
        elements: &Tensor,
        test_elements: &Tensor,
        assume_unique: bool,
        invert: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isin_tensor_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            elements.c_tensor,
            test_elements.c_tensor,
            if assume_unique { 1 } else { 0 },
            if invert { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isinf(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isinf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isinf_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isinf_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isnan(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isnan(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isnan_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isnan_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isneginf(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isneginf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isneginf_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isneginf_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isposinf(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isposinf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isposinf_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isposinf_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_isreal(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_isreal(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_istft<T: Borrow<Tensor>>(
        &self,
        n_fft: i64,
        hop_length: impl Into<Option<i64>>,
        win_length: impl Into<Option<i64>>,
        window: Option<T>,
        center: bool,
        normalized: bool,
        onesided: bool,
        length: impl Into<Option<i64>>,
        return_complex: bool,
    ) -> Result<Tensor, TchError> {
        let hop_length = hop_length.into();
        let win_length = win_length.into();
        let length = length.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_istft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n_fft,
            hop_length.unwrap_or(0i64),
            hop_length.is_none() as i8,
            win_length.unwrap_or(0i64),
            win_length.is_none() as i8,
            window.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if center { 1 } else { 0 },
            if normalized { 1 } else { 0 },
            if onesided { 1 } else { 0 },
            length.unwrap_or(0i64),
            length.is_none() as i8,
            if return_complex { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kaiser_window(
        window_length: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kaiser_window(
            c_tensors.as_mut_ptr(),
            window_length,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kaiser_window_beta(
        window_length: i64,
        periodic: bool,
        beta: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kaiser_window_beta(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            beta,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kaiser_window_beta_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
        beta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kaiser_window_beta_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 },
            beta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kaiser_window_out(out: &Tensor, window_length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kaiser_window_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kaiser_window_periodic(
        window_length: i64,
        periodic: bool,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kaiser_window_periodic(
            c_tensors.as_mut_ptr(),
            window_length,
            if periodic { 1 } else { 0 },
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kaiser_window_periodic_out(
        out: &Tensor,
        window_length: i64,
        periodic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kaiser_window_periodic_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            window_length,
            if periodic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kl_div(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
        log_target: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kl_div(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            if log_target { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kron(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kron(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kron_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_kron_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_kthvalue(
        &self,
        k: i64,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_kthvalue(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            k,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_kthvalue_values(
        &self,
        values: &Tensor,
        indices: &Tensor,
        k: i64,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_kthvalue_values(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            k,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_l1_loss(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_l1_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_layer_norm<T: Borrow<Tensor>>(
        &self,
        normalized_shape: impl IntList,
        weight: Option<T>,
        bias: Option<T>,
        eps: f64,
        cudnn_enable: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_layer_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            normalized_shape.as_ptr(),
            normalized_shape.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            eps,
            if cudnn_enable { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lcm(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lcm(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lcm_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lcm_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lcm_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lcm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ldexp(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ldexp(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ldexp_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ldexp_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ldexp_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ldexp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_le<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_le(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_le_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_le_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_le_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_le_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_le_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_le_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_le_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_le_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_le_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_le_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_leaky_relu(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_leaky_relu(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_leaky_relu_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_leaky_relu_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_leaky_relu_backward<S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        negative_slope: S,
        self_is_result: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_leaky_relu_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            negative_slope.into().c_scalar,
            if self_is_result { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_leaky_relu_backward_grad_input<S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        negative_slope: S,
        self_is_result: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_leaky_relu_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            negative_slope.into().c_scalar,
            if self_is_result { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_leaky_relu_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_leaky_relu_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lerp<S: Into<Scalar>>(&self, end: &Tensor, weight: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lerp(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            end.c_tensor,
            weight.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lerp_<S: Into<Scalar>>(
        &mut self,
        end: &Tensor,
        weight: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lerp_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            end.c_tensor,
            weight.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lerp_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        end: &Tensor,
        weight: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lerp_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            end.c_tensor,
            weight.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lerp_tensor(&self, end: &Tensor, weight: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lerp_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            end.c_tensor,
            weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lerp_tensor_(&mut self, end: &Tensor, weight: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lerp_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            end.c_tensor,
            weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lerp_tensor_out(
        &self,
        out: &Tensor,
        end: &Tensor,
        weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lerp_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            end.c_tensor,
            weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_equal<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_equal(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_equal_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_equal_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_equal_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_equal_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_equal_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_equal_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_equal_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_equal_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_equal_tensor_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_equal_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_less_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_less_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lgamma(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lgamma(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lgamma_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lgamma_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lgamma_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lgamma_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lift(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lift(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lift_fresh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lift_fresh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lift_fresh_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lift_fresh_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lift_fresh_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lift_fresh_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lift_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lift_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cholesky(&self, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cholesky(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cholesky_ex(
        &self,
        upper: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_cholesky_ex(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if upper { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_cholesky_ex_l(
        &self,
        l: &Tensor,
        info: &Tensor,
        upper: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_cholesky_ex_l(
            c_tensors.as_mut_ptr(),
            l.c_tensor,
            info.c_tensor,
            self.c_tensor,
            if upper { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_cholesky_out(&self, out: &Tensor, upper: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cholesky_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if upper { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cond<S: Into<Scalar>>(&self, p: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cond(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cond_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        p: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cond_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cond_p_str(&self, p: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cond_p_str(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.as_ptr(),
            p.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cond_p_str_out(&self, out: &Tensor, p: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cond_p_str_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.as_ptr(),
            p.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cross(&self, other: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cross(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_cross_out(
        &self,
        out: &Tensor,
        other: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_cross_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_det(a: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_det(c_tensors.as_mut_ptr(), a.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_det_out(out: &Tensor, a: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_det_out(c_tensors.as_mut_ptr(), out.c_tensor, a.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_diagonal(
        a: &Tensor,
        offset: i64,
        dim1: i64,
        dim2: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_diagonal(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            offset,
            dim1,
            dim2
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_eig(&self) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_eig(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_eig_out(
        &self,
        eigenvalues: &Tensor,
        eigenvectors: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_eig_out(
            c_tensors.as_mut_ptr(),
            eigenvalues.c_tensor,
            eigenvectors.c_tensor,
            self.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_eigh(&self, uplo: &str) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_eigh(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            uplo.as_ptr(),
            uplo.len() as i32
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_eigh_eigvals(
        &self,
        eigvals: &Tensor,
        eigvecs: &Tensor,
        uplo: &str,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_eigh_eigvals(
            c_tensors.as_mut_ptr(),
            eigvals.c_tensor,
            eigvecs.c_tensor,
            self.c_tensor,
            uplo.as_ptr(),
            uplo.len() as i32
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_eigvals(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_eigvals(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_eigvals_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_eigvals_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_eigvalsh(&self, uplo: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_eigvalsh(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            uplo.as_ptr(),
            uplo.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_eigvalsh_out(&self, out: &Tensor, uplo: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_eigvalsh_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            uplo.as_ptr(),
            uplo.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_householder_product(&self, tau: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_householder_product(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tau.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_householder_product_out(
        &self,
        out: &Tensor,
        tau: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_householder_product_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            tau.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_inv(a: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_inv(c_tensors.as_mut_ptr(), a.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_inv_ex(a: &Tensor, check_errors: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_inv_ex(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            if check_errors { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_inv_ex_inverse(
        inverse: &Tensor,
        info: &Tensor,
        a: &Tensor,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_inv_ex_inverse(
            c_tensors.as_mut_ptr(),
            inverse.c_tensor,
            info.c_tensor,
            a.c_tensor,
            if check_errors { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_inv_out(out: &Tensor, a: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_inv_out(c_tensors.as_mut_ptr(), out.c_tensor, a.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_ldl_factor(&self, hermitian: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_ldl_factor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_ldl_factor_ex(
        &self,
        hermitian: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_ldl_factor_ex(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if hermitian { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_ldl_factor_ex_out(
        &self,
        ld: &Tensor,
        pivots: &Tensor,
        info: &Tensor,
        hermitian: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_ldl_factor_ex_out(
            c_tensors.as_mut_ptr(),
            ld.c_tensor,
            pivots.c_tensor,
            info.c_tensor,
            self.c_tensor,
            if hermitian { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_ldl_factor_out(
        &self,
        ld: &Tensor,
        pivots: &Tensor,
        hermitian: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_ldl_factor_out(
            c_tensors.as_mut_ptr(),
            ld.c_tensor,
            pivots.c_tensor,
            self.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_ldl_solve(
        ld: &Tensor,
        pivots: &Tensor,
        b: &Tensor,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_ldl_solve(
            c_tensors.as_mut_ptr(),
            ld.c_tensor,
            pivots.c_tensor,
            b.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_ldl_solve_out(
        out: &Tensor,
        ld: &Tensor,
        pivots: &Tensor,
        b: &Tensor,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_ldl_solve_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ld.c_tensor,
            pivots.c_tensor,
            b.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_lstsq(
        &self,
        b: &Tensor,
        rcond: impl Into<Option<f64>>,
        driver: &str,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let rcond = rcond.into();
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_linalg_lstsq(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            b.c_tensor,
            rcond.unwrap_or(std::f64::NAN),
            rcond.is_none() as i8,
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_linalg_lstsq_out(
        &self,
        solution: &Tensor,
        residuals: &Tensor,
        rank: &Tensor,
        singular_values: &Tensor,
        b: &Tensor,
        rcond: impl Into<Option<f64>>,
        driver: &str,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let rcond = rcond.into();
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_linalg_lstsq_out(
            c_tensors.as_mut_ptr(),
            solution.c_tensor,
            residuals.c_tensor,
            rank.c_tensor,
            singular_values.c_tensor,
            self.c_tensor,
            b.c_tensor,
            rcond.unwrap_or(std::f64::NAN),
            rcond.is_none() as i8,
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_linalg_lu(a: &Tensor, pivot: bool) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_lu(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            if pivot { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_lu_factor(a: &Tensor, pivot: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_lu_factor(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            if pivot { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_lu_factor_ex(
        a: &Tensor,
        pivot: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_lu_factor_ex(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            if pivot { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_lu_factor_ex_out(
        lu: &Tensor,
        pivots: &Tensor,
        info: &Tensor,
        a: &Tensor,
        pivot: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_lu_factor_ex_out(
            c_tensors.as_mut_ptr(),
            lu.c_tensor,
            pivots.c_tensor,
            info.c_tensor,
            a.c_tensor,
            if pivot { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_lu_factor_out(
        lu: &Tensor,
        pivots: &Tensor,
        a: &Tensor,
        pivot: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_lu_factor_out(
            c_tensors.as_mut_ptr(),
            lu.c_tensor,
            pivots.c_tensor,
            a.c_tensor,
            if pivot { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_lu_out(
        p: &Tensor,
        l: &Tensor,
        u: &Tensor,
        a: &Tensor,
        pivot: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_lu_out(
            c_tensors.as_mut_ptr(),
            p.c_tensor,
            l.c_tensor,
            u.c_tensor,
            a.c_tensor,
            if pivot { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_lu_solve(
        lu: &Tensor,
        pivots: &Tensor,
        b: &Tensor,
        left: bool,
        adjoint: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_lu_solve(
            c_tensors.as_mut_ptr(),
            lu.c_tensor,
            pivots.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 },
            if adjoint { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_lu_solve_out(
        out: &Tensor,
        lu: &Tensor,
        pivots: &Tensor,
        b: &Tensor,
        left: bool,
        adjoint: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_lu_solve_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            lu.c_tensor,
            pivots.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 },
            if adjoint { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matmul(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matmul(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matmul_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matmul_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_exp(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_exp(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_exp_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_exp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_power(&self, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_power(c_tensors.as_mut_ptr(), self.c_tensor, n));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_power_out(&self, out: &Tensor, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_power_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank(&self, tol: f64, hermitian: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tol,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_atol_rtol_float(
        &self,
        atol: impl Into<Option<f64>>,
        rtol: impl Into<Option<f64>>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let atol = atol.into();
        let rtol = rtol.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_atol_rtol_float(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            atol.unwrap_or(std::f64::NAN),
            atol.is_none() as i8,
            rtol.unwrap_or(std::f64::NAN),
            rtol.is_none() as i8,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_atol_rtol_float_out(
        &self,
        out: &Tensor,
        atol: impl Into<Option<f64>>,
        rtol: impl Into<Option<f64>>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let atol = atol.into();
        let rtol = rtol.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_atol_rtol_float_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            atol.unwrap_or(std::f64::NAN),
            atol.is_none() as i8,
            rtol.unwrap_or(std::f64::NAN),
            rtol.is_none() as i8,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_atol_rtol_tensor<T: Borrow<Tensor>>(
        &self,
        atol: Option<T>,
        rtol: Option<T>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_atol_rtol_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            atol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            rtol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_atol_rtol_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        atol: Option<T>,
        rtol: Option<T>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_atol_rtol_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            atol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            rtol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_out(
        &self,
        out: &Tensor,
        tol: f64,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            tol,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_out_tol_tensor(
        &self,
        out: &Tensor,
        tol: &Tensor,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_out_tol_tensor(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            tol.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_matrix_rank_tol_tensor(
        &self,
        tol: &Tensor,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_matrix_rank_tol_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            tol.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_multi_dot<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_multi_dot(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_multi_dot_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_multi_dot_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_norm<S: Into<Scalar>>(
        &self,
        ord: S,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ord.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_norm_ord_str(
        &self,
        ord: &str,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_norm_ord_str(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ord.as_ptr(),
            ord.len() as i32,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_norm_ord_str_out(
        &self,
        out: &Tensor,
        ord: &str,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_norm_ord_str_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ord.as_ptr(),
            ord.len() as i32,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_norm_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        ord: S,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_norm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ord.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv(&self, rcond: f64, hermitian: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            rcond,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_atol_rtol_float(
        &self,
        atol: impl Into<Option<f64>>,
        rtol: impl Into<Option<f64>>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let atol = atol.into();
        let rtol = rtol.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_atol_rtol_float(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            atol.unwrap_or(std::f64::NAN),
            atol.is_none() as i8,
            rtol.unwrap_or(std::f64::NAN),
            rtol.is_none() as i8,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_atol_rtol_float_out(
        &self,
        out: &Tensor,
        atol: impl Into<Option<f64>>,
        rtol: impl Into<Option<f64>>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let atol = atol.into();
        let rtol = rtol.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_atol_rtol_float_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            atol.unwrap_or(std::f64::NAN),
            atol.is_none() as i8,
            rtol.unwrap_or(std::f64::NAN),
            rtol.is_none() as i8,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_atol_rtol_tensor<T: Borrow<Tensor>>(
        &self,
        atol: Option<T>,
        rtol: Option<T>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_atol_rtol_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            atol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            rtol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_atol_rtol_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        atol: Option<T>,
        rtol: Option<T>,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_atol_rtol_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            atol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            rtol.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_out(
        &self,
        out: &Tensor,
        rcond: f64,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            rcond,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_out_rcond_tensor(
        &self,
        out: &Tensor,
        rcond: &Tensor,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_out_rcond_tensor(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            rcond.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_pinv_rcond_tensor(
        &self,
        rcond: &Tensor,
        hermitian: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_pinv_rcond_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            rcond.c_tensor,
            if hermitian { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_qr(a: &Tensor, mode: &str) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_qr(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            mode.as_ptr(),
            mode.len() as i32
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_qr_out(
        q: &Tensor,
        r: &Tensor,
        a: &Tensor,
        mode: &str,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_qr_out(
            c_tensors.as_mut_ptr(),
            q.c_tensor,
            r.c_tensor,
            a.c_tensor,
            mode.as_ptr(),
            mode.len() as i32
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_slogdet(a: &Tensor) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_slogdet(c_tensors.as_mut_ptr(), a.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_slogdet_out(
        sign: &Tensor,
        logabsdet: &Tensor,
        a: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_slogdet_out(
            c_tensors.as_mut_ptr(),
            sign.c_tensor,
            logabsdet.c_tensor,
            a.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_solve(a: &Tensor, b: &Tensor, left: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_solve(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_solve_ex(
        a: &Tensor,
        b: &Tensor,
        left: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_solve_ex(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_solve_ex_out(
        result: &Tensor,
        info: &Tensor,
        a: &Tensor,
        b: &Tensor,
        left: bool,
        check_errors: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_linalg_solve_ex_out(
            c_tensors.as_mut_ptr(),
            result.c_tensor,
            info.c_tensor,
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 },
            if check_errors { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_linalg_solve_out(
        out: &Tensor,
        a: &Tensor,
        b: &Tensor,
        left: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_solve_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            a.c_tensor,
            b.c_tensor,
            if left { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_solve_triangular(
        &self,
        b: &Tensor,
        upper: bool,
        left: bool,
        unitriangular: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_solve_triangular(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            b.c_tensor,
            if upper { 1 } else { 0 },
            if left { 1 } else { 0 },
            if unitriangular { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_solve_triangular_out(
        &self,
        out: &Tensor,
        b: &Tensor,
        upper: bool,
        left: bool,
        unitriangular: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_solve_triangular_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            b.c_tensor,
            if upper { 1 } else { 0 },
            if left { 1 } else { 0 },
            if unitriangular { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_svd(
        a: &Tensor,
        full_matrices: bool,
        driver: &str,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_svd(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            if full_matrices { 1 } else { 0 },
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_svd_u(
        u: &Tensor,
        s: &Tensor,
        vh: &Tensor,
        a: &Tensor,
        full_matrices: bool,
        driver: &str,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_linalg_svd_u(
            c_tensors.as_mut_ptr(),
            u.c_tensor,
            s.c_tensor,
            vh.c_tensor,
            a.c_tensor,
            if full_matrices { 1 } else { 0 },
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_linalg_svdvals(a: &Tensor, driver: &str) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_svdvals(
            c_tensors.as_mut_ptr(),
            a.c_tensor,
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_svdvals_out(
        out: &Tensor,
        a: &Tensor,
        driver: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_svdvals_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            a.c_tensor,
            driver.as_ptr(),
            driver.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_tensorinv(&self, ind: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_tensorinv(c_tensors.as_mut_ptr(), self.c_tensor, ind));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_tensorinv_out(&self, out: &Tensor, ind: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_tensorinv_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            ind
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_tensorsolve(
        &self,
        other: &Tensor,
        dims: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_tensorsolve(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_tensorsolve_out(
        &self,
        out: &Tensor,
        other: &Tensor,
        dims: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_tensorsolve_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_vander(x: &Tensor, n: impl Into<Option<i64>>) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_vander(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_vecdot(x: &Tensor, y: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_vecdot(c_tensors.as_mut_ptr(), x.c_tensor, y.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linalg_vecdot_out(
        out: &Tensor,
        x: &Tensor,
        y: &Tensor,
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linalg_vecdot_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            y.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linear<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linear(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linear_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linear_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace<S: Into<Scalar>>(
        start: S,
        end: S,
        steps: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.into().c_scalar,
            steps,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_out<S: Into<Scalar>>(
        out: &Tensor,
        start: S,
        end: S,
        steps: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.into().c_scalar,
            end.into().c_scalar,
            steps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_scalar_tensor<S: Into<Scalar>>(
        start: S,
        end: &Tensor,
        steps: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_scalar_tensor(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.c_tensor,
            steps,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        start: S,
        end: &Tensor,
        steps: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.into().c_scalar,
            end.c_tensor,
            steps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_tensor_scalar<S: Into<Scalar>>(
        start: &Tensor,
        end: S,
        steps: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_tensor_scalar(
            c_tensors.as_mut_ptr(),
            start.c_tensor,
            end.into().c_scalar,
            steps,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_tensor_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        start: &Tensor,
        end: S,
        steps: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.c_tensor,
            end.into().c_scalar,
            steps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_tensor_tensor(
        start: &Tensor,
        end: &Tensor,
        steps: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_tensor_tensor(
            c_tensors.as_mut_ptr(),
            start.c_tensor,
            end.c_tensor,
            steps,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_linspace_tensor_tensor_out(
        out: &Tensor,
        start: &Tensor,
        end: &Tensor,
        steps: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_linspace_tensor_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.c_tensor,
            end.c_tensor,
            steps
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log10(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log10(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log10_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log10_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log10_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log10_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log1p(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log1p(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log1p_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log1p_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log1p_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log1p_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log2(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log2(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log2_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log2_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log2_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log2_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_normal(&self, mean: f64, std: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_normal(c_tensors.as_mut_ptr(), self.c_tensor, mean, std));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_normal_(&mut self, mean: f64, std: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_normal_(c_tensors.as_mut_ptr(), self.c_tensor, mean, std));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_normal_out(&self, out: &Tensor, mean: f64, std: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_normal_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mean,
            std
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_sigmoid(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_sigmoid(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_sigmoid_backward(
        &self,
        grad_output: &Tensor,
        buffer: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_sigmoid_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            buffer.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_sigmoid_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        buffer: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_sigmoid_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            buffer.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_sigmoid_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_sigmoid_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_softmax(
        &self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_log_softmax_int_out(
        &self,
        out: &Tensor,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_log_softmax_int_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logaddexp(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logaddexp(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logaddexp2(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logaddexp2(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logaddexp2_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logaddexp2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logaddexp_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logaddexp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logcumsumexp(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logcumsumexp(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logcumsumexp_out(&self, out: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logcumsumexp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logdet(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logdet(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_and(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_and(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_and_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_and_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_and_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_and_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_not(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_not(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_not_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_not_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_not_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_not_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_or(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_or(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_or_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_or_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_or_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_or_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_xor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_xor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_xor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_xor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logical_xor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logical_xor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logit(&self, eps: impl Into<Option<f64>>) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logit(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logit_(&mut self, eps: impl Into<Option<f64>>) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logit_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logit_backward(
        &self,
        grad_output: &Tensor,
        eps: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logit_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logit_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        eps: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logit_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logit_out(
        &self,
        out: &Tensor,
        eps: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logit_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace<S: Into<Scalar>>(
        start: S,
        end: S,
        steps: i64,
        base: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.into().c_scalar,
            steps,
            base,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_out<S: Into<Scalar>>(
        out: &Tensor,
        start: S,
        end: S,
        steps: i64,
        base: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.into().c_scalar,
            end.into().c_scalar,
            steps,
            base
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_scalar_tensor<S: Into<Scalar>>(
        start: S,
        end: &Tensor,
        steps: i64,
        base: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_scalar_tensor(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.c_tensor,
            steps,
            base,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        start: S,
        end: &Tensor,
        steps: i64,
        base: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.into().c_scalar,
            end.c_tensor,
            steps,
            base
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_tensor_scalar<S: Into<Scalar>>(
        start: &Tensor,
        end: S,
        steps: i64,
        base: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_tensor_scalar(
            c_tensors.as_mut_ptr(),
            start.c_tensor,
            end.into().c_scalar,
            steps,
            base,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_tensor_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        start: &Tensor,
        end: S,
        steps: i64,
        base: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.c_tensor,
            end.into().c_scalar,
            steps,
            base
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_tensor_tensor(
        start: &Tensor,
        end: &Tensor,
        steps: i64,
        base: f64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_tensor_tensor(
            c_tensors.as_mut_ptr(),
            start.c_tensor,
            end.c_tensor,
            steps,
            base,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logspace_tensor_tensor_out(
        out: &Tensor,
        start: &Tensor,
        end: &Tensor,
        steps: i64,
        base: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logspace_tensor_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.c_tensor,
            end.c_tensor,
            steps,
            base
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logsumexp(&self, dim: impl IntList, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logsumexp(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_logsumexp_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_logsumexp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lstm<T: Borrow<Tensor>>(
        &self,
        hx: &[T],
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_lstm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_lstm_cell<T: Borrow<Tensor>>(
        &self,
        hx: &[T],
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: Option<T>,
        b_hh: Option<T>,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_lstm_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            b_hh.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_lstm_data<T: Borrow<Tensor>>(
        data: &Tensor,
        batch_sizes: &Tensor,
        hx: &[T],
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_lstm_data(
            c_tensors.as_mut_ptr(),
            data.c_tensor,
            batch_sizes.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_lstm_mps_backward<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &[T],
        out2: &[T],
        grad_y: Option<T>,
        grad_hy: Option<T>,
        grad_cy: Option<T>,
        z_state: &Tensor,
        cell_state_fwd: &Tensor,
        layersoutputs: &Tensor,
        hx: &[T],
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_lstm_mps_backward(
            out0.c_tensor,
            ptr_list(out1).as_ptr(),
            out1.len() as i32,
            ptr_list(out2).as_ptr(),
            out2.len() as i32,
            grad_y.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            grad_hy.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            grad_cy.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            z_state.c_tensor,
            cell_state_fwd.c_tensor,
            self.c_tensor,
            layersoutputs.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok(())
    }

    pub fn f_lt<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lt(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lt_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lt_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lt_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lt_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lt_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lt_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lt_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lt_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lt_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lt_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lu_solve(&self, lu_data: &Tensor, lu_pivots: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lu_solve(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            lu_data.c_tensor,
            lu_pivots.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lu_solve_out(
        &self,
        out: &Tensor,
        lu_data: &Tensor,
        lu_pivots: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_lu_solve_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            lu_data.c_tensor,
            lu_pivots.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_lu_unpack(
        lu_data: &Tensor,
        lu_pivots: &Tensor,
        unpack_data: bool,
        unpack_pivots: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_lu_unpack(
            c_tensors.as_mut_ptr(),
            lu_data.c_tensor,
            lu_pivots.c_tensor,
            if unpack_data { 1 } else { 0 },
            if unpack_pivots { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_lu_unpack_out(
        p: &Tensor,
        l: &Tensor,
        u: &Tensor,
        lu_data: &Tensor,
        lu_pivots: &Tensor,
        unpack_data: bool,
        unpack_pivots: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_lu_unpack_out(
            c_tensors.as_mut_ptr(),
            p.c_tensor,
            l.c_tensor,
            u.c_tensor,
            lu_data.c_tensor,
            lu_pivots.c_tensor,
            if unpack_data { 1 } else { 0 },
            if unpack_pivots { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_margin_ranking_loss(
        input1: &Tensor,
        input2: &Tensor,
        target: &Tensor,
        margin: f64,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_margin_ranking_loss(
            c_tensors.as_mut_ptr(),
            input1.c_tensor,
            input2.c_tensor,
            target.c_tensor,
            margin,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_fill<S: Into<Scalar>>(
        &self,
        mask: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_fill(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_fill_<S: Into<Scalar>>(
        &mut self,
        mask: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_fill_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_fill_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        mask: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_fill_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_fill_tensor(&self, mask: &Tensor, value: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_fill_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_fill_tensor_(
        &mut self,
        mask: &Tensor,
        value: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_fill_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_fill_tensor_out(
        &self,
        out: &Tensor,
        mask: &Tensor,
        value: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_fill_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor,
            value.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_scatter(&self, mask: &Tensor, source: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_scatter(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_scatter_(
        &mut self,
        mask: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_scatter_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mask.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_scatter_backward(
        grad_output: &Tensor,
        mask: &Tensor,
        sizes: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_scatter_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            mask.c_tensor,
            sizes.as_ptr(),
            sizes.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_scatter_out(
        &self,
        out: &Tensor,
        mask: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_scatter_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_select(&self, mask: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_select(c_tensors.as_mut_ptr(), self.c_tensor, mask.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_select_backward(
        &self,
        grad: &Tensor,
        mask: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_select_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            mask.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_masked_select_out(&self, out: &Tensor, mask: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_masked_select_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matmul(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matmul(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matmul_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matmul_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matrix_exp(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matrix_exp(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matrix_exp_backward(&self, grad: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matrix_exp_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grad.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matrix_h(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matrix_h(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matrix_power(&self, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matrix_power(c_tensors.as_mut_ptr(), self.c_tensor, n));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_matrix_power_out(&self, out: &Tensor, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_matrix_power_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            n
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_dim(&self, dim: i64, keepdim: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_dim_max(
        &self,
        max: &Tensor,
        max_values: &Tensor,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_dim_max(
            c_tensors.as_mut_ptr(),
            max.c_tensor,
            max_values.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_other(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_other(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool1d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool1d_with_indices(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_pool1d_with_indices(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_pool2d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool2d_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool2d_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool2d_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool2d_with_indices(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_pool2d_with_indices(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_pool2d_with_indices_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool2d_with_indices_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 },
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool2d_with_indices_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool2d_with_indices_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 },
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool2d_with_indices_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_pool2d_with_indices_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_pool3d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool3d_with_indices(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_pool3d_with_indices(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_pool3d_with_indices_backward(
        &self,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool3d_with_indices_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 },
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool3d_with_indices_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
        indices: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_pool3d_with_indices_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 },
            indices.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_pool3d_with_indices_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_max_pool3d_with_indices_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_max_unary_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_unary_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_unpool2d(
        &self,
        indices: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_unpool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            indices.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_unpool2d_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_unpool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            indices.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_unpool3d(
        &self,
        indices: &Tensor,
        output_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_unpool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            indices.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_max_unpool3d_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        output_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_max_unpool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            indices.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_maximum(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_maximum(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_maximum_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_maximum_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mean(&self, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mean(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mean_dim(
        &self,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mean_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mean_dtype_out(
        &self,
        out: &Tensor,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mean_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mean_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mean_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_median(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_median(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_median_dim(&self, dim: i64, keepdim: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_median_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_median_dim_values(
        &self,
        values: &Tensor,
        indices: &Tensor,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_median_dim_values(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_median_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_median_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_meshgrid<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Vec<Tensor>, TchError> {
        let c_tensors =
            unsafe_torch_err!(atg_meshgrid(ptr_list(tensors).as_ptr(), tensors.len() as i32));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_meshgrid_indexing<T: Borrow<Tensor>>(
        tensors: &[T],
        indexing: &str,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_meshgrid_indexing(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            indexing.as_ptr(),
            indexing.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_mh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_min(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_min(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_min_dim(&self, dim: i64, keepdim: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_min_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_min_dim_min(
        &self,
        min: &Tensor,
        min_indices: &Tensor,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_min_dim_min(
            c_tensors.as_mut_ptr(),
            min.c_tensor,
            min_indices.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_min_other(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_min_other(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_min_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_min_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_min_unary_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_min_unary_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_minimum(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_minimum(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_minimum_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_minimum_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_batch_norm<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        exponential_average_factor: f64,
        epsilon: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_miopen_batch_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            exponential_average_factor,
            epsilon
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_miopen_batch_norm_backward<T: Borrow<Tensor>>(
        &self,
        grad_output: &Tensor,
        weight: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        save_mean: Option<T>,
        save_var: Option<T>,
        epsilon: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_miopen_batch_norm_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            grad_output.c_tensor,
            weight.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            epsilon
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_miopen_batch_norm_backward_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        grad_output: &Tensor,
        weight: &Tensor,
        running_mean: Option<T>,
        running_var: Option<T>,
        save_mean: Option<T>,
        save_var: Option<T>,
        epsilon: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_miopen_batch_norm_backward_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            grad_output.c_tensor,
            weight.c_tensor,
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            save_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            epsilon
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_miopen_batch_norm_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        exponential_average_factor: f64,
        epsilon: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_miopen_batch_norm_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            exponential_average_factor,
            epsilon
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_miopen_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_convolution_add_relu<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        weight: &Tensor,
        z: &Tensor,
        alpha: S,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_convolution_add_relu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            z.c_tensor,
            alpha.into().c_scalar,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_convolution_relu<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_convolution_relu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_convolution_transpose<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        output_padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_convolution_transpose(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_convolution_transpose_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        output_padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_convolution_transpose_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_depthwise_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_depthwise_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_depthwise_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        benchmark: bool,
        deterministic: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_miopen_depthwise_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            if benchmark { 1 } else { 0 },
            if deterministic { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_miopen_rnn<T: Borrow<Tensor>>(
        &self,
        weight: &[T],
        weight_stride0: i64,
        hx: &Tensor,
        cx: Option<T>,
        mode: i64,
        hidden_size: i64,
        num_layers: i64,
        batch_first: bool,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_sizes: impl IntList,
        dropout_state: Option<T>,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 5];
        unsafe_torch_err!(atg_miopen_rnn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(weight).as_ptr(),
            weight.len() as i32,
            weight_stride0,
            hx.c_tensor,
            cx.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mode,
            hidden_size,
            num_layers,
            if batch_first { 1 } else { 0 },
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            dropout_state.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
        ))
    }

    pub fn f_miopen_rnn_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        out4: &Tensor,
        weight: &[T],
        weight_stride0: i64,
        hx: &Tensor,
        cx: Option<T>,
        mode: i64,
        hidden_size: i64,
        num_layers: i64,
        batch_first: bool,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_sizes: impl IntList,
        dropout_state: Option<T>,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 5];
        unsafe_torch_err!(atg_miopen_rnn_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            out4.c_tensor,
            self.c_tensor,
            ptr_list(weight).as_ptr(),
            weight.len() as i32,
            weight_stride0,
            hx.c_tensor,
            cx.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mode,
            hidden_size,
            num_layers,
            if batch_first { 1 } else { 0 },
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            dropout_state.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
        ))
    }

    pub fn f_mish(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mish(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mish_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mish_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mish_backward(&self, grad_output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mish_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mish_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mish_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_adaptive_avg_pool2d(
        &self,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_adaptive_avg_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_adaptive_avg_pool2d_backward(
        &self,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_adaptive_avg_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_adaptive_avg_pool2d_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_adaptive_avg_pool2d_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_adaptive_avg_pool2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_adaptive_avg_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_convolution<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_convolution(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_convolution_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_convolution_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_linear<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        bias: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_linear(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_linear_backward_input(
        input_size: impl IntList,
        grad_output: &Tensor,
        weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_linear_backward_input(
            c_tensors.as_mut_ptr(),
            input_size.as_ptr(),
            input_size.len_i32(),
            grad_output.c_tensor,
            weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_linear_backward_input_out(
        out: &Tensor,
        input_size: impl IntList,
        grad_output: &Tensor,
        weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_linear_backward_input_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            input_size.as_ptr(),
            input_size.len_i32(),
            grad_output.c_tensor,
            weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_linear_backward_weights(
        &self,
        grad_output: &Tensor,
        weight: &Tensor,
        bias_defined: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_mkldnn_linear_backward_weights(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            if bias_defined { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_mkldnn_linear_backward_weights_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        grad_output: &Tensor,
        weight: &Tensor,
        bias_defined: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_mkldnn_linear_backward_weights_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            if bias_defined { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_mkldnn_linear_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        bias: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_linear_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool2d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool2d_backward(
        &self,
        grad_output: &Tensor,
        output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool2d_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool2d_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool2d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool3d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool3d_backward(
        &self,
        grad_output: &Tensor,
        output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool3d_backward_out(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool3d_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            output.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_max_pool3d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_max_pool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_reorder_conv2d_weight(
        &self,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        input_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_reorder_conv2d_weight(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            input_size.as_ptr(),
            input_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_reorder_conv2d_weight_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        input_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_reorder_conv2d_weight_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            input_size.as_ptr(),
            input_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_reorder_conv3d_weight(
        &self,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        input_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_reorder_conv3d_weight(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            input_size.as_ptr(),
            input_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_reorder_conv3d_weight_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
        stride: impl IntList,
        dilation: impl IntList,
        groups: i64,
        input_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mkldnn_reorder_conv3d_weight_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            groups,
            input_size.as_ptr(),
            input_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mkldnn_rnn_layer(
        &self,
        weight0: &Tensor,
        weight1: &Tensor,
        weight2: &Tensor,
        weight3: &Tensor,
        hx_: &Tensor,
        cx_: &Tensor,
        reverse: bool,
        batch_sizes: impl IntList,
        mode: i64,
        hidden_size: i64,
        num_layers: i64,
        has_biases: bool,
        bidirectional: bool,
        batch_first: bool,
        train: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_mkldnn_rnn_layer(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight0.c_tensor,
            weight1.c_tensor,
            weight2.c_tensor,
            weight3.c_tensor,
            hx_.c_tensor,
            cx_.c_tensor,
            if reverse { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            mode,
            hidden_size,
            num_layers,
            if has_biases { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 },
            if train { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_mkldnn_rnn_layer_backward<T: Borrow<Tensor>>(
        &self,
        weight1: &Tensor,
        weight2: &Tensor,
        weight3: &Tensor,
        weight4: &Tensor,
        hx_: &Tensor,
        cx_tmp: &Tensor,
        output: &Tensor,
        hy_: &Tensor,
        cy_: &Tensor,
        grad_output: Option<T>,
        grad_hy: Option<T>,
        grad_cy: Option<T>,
        reverse: bool,
        mode: i64,
        hidden_size: i64,
        num_layers: i64,
        has_biases: bool,
        train: bool,
        bidirectional: bool,
        batch_sizes: impl IntList,
        batch_first: bool,
        workspace: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 7];
        unsafe_torch_err!(atg_mkldnn_rnn_layer_backward(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight1.c_tensor,
            weight2.c_tensor,
            weight3.c_tensor,
            weight4.c_tensor,
            hx_.c_tensor,
            cx_tmp.c_tensor,
            output.c_tensor,
            hy_.c_tensor,
            cy_.c_tensor,
            grad_output.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            grad_hy.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            grad_cy.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if reverse { 1 } else { 0 },
            mode,
            hidden_size,
            num_layers,
            if has_biases { 1 } else { 0 },
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            if batch_first { 1 } else { 0 },
            workspace.c_tensor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
            Tensor { c_tensor: c_tensors[5] },
            Tensor { c_tensor: c_tensors[6] },
        ))
    }

    pub fn f_mkldnn_rnn_layer_backward_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        out4: &Tensor,
        out5: &Tensor,
        out6: &Tensor,
        weight1: &Tensor,
        weight2: &Tensor,
        weight3: &Tensor,
        weight4: &Tensor,
        hx_: &Tensor,
        cx_tmp: &Tensor,
        output: &Tensor,
        hy_: &Tensor,
        cy_: &Tensor,
        grad_output: Option<T>,
        grad_hy: Option<T>,
        grad_cy: Option<T>,
        reverse: bool,
        mode: i64,
        hidden_size: i64,
        num_layers: i64,
        has_biases: bool,
        train: bool,
        bidirectional: bool,
        batch_sizes: impl IntList,
        batch_first: bool,
        workspace: &Tensor,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 7];
        unsafe_torch_err!(atg_mkldnn_rnn_layer_backward_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            out4.c_tensor,
            out5.c_tensor,
            out6.c_tensor,
            self.c_tensor,
            weight1.c_tensor,
            weight2.c_tensor,
            weight3.c_tensor,
            weight4.c_tensor,
            hx_.c_tensor,
            cx_tmp.c_tensor,
            output.c_tensor,
            hy_.c_tensor,
            cy_.c_tensor,
            grad_output.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            grad_hy.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            grad_cy.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if reverse { 1 } else { 0 },
            mode,
            hidden_size,
            num_layers,
            if has_biases { 1 } else { 0 },
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            if batch_first { 1 } else { 0 },
            workspace.c_tensor
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
            Tensor { c_tensor: c_tensors[4] },
            Tensor { c_tensor: c_tensors[5] },
            Tensor { c_tensor: c_tensors[6] },
        ))
    }

    pub fn f_mkldnn_rnn_layer_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        out3: &Tensor,
        weight0: &Tensor,
        weight1: &Tensor,
        weight2: &Tensor,
        weight3: &Tensor,
        hx_: &Tensor,
        cx_: &Tensor,
        reverse: bool,
        batch_sizes: impl IntList,
        mode: i64,
        hidden_size: i64,
        num_layers: i64,
        has_biases: bool,
        bidirectional: bool,
        batch_first: bool,
        train: bool,
    ) -> Result<(Tensor, Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 4];
        unsafe_torch_err!(atg_mkldnn_rnn_layer_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            out3.c_tensor,
            self.c_tensor,
            weight0.c_tensor,
            weight1.c_tensor,
            weight2.c_tensor,
            weight3.c_tensor,
            hx_.c_tensor,
            cx_.c_tensor,
            if reverse { 1 } else { 0 },
            batch_sizes.as_ptr(),
            batch_sizes.len_i32(),
            mode,
            hidden_size,
            num_layers,
            if has_biases { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 },
            if train { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
            Tensor { c_tensor: c_tensors[3] },
        ))
    }

    pub fn f_mm(&self, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mm(c_tensors.as_mut_ptr(), self.c_tensor, mat2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mm_out(&self, out: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mode(&self, dim: i64, keepdim: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_mode(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_mode_values(
        &self,
        values: &Tensor,
        indices: &Tensor,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_mode_values(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_moveaxis(
        &self,
        source: impl IntList,
        destination: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_moveaxis(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source.as_ptr(),
            source.len_i32(),
            destination.as_ptr(),
            destination.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_moveaxis_int(&self, source: i64, destination: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_moveaxis_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source,
            destination
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_movedim(
        &self,
        source: impl IntList,
        destination: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_movedim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source.as_ptr(),
            source.len_i32(),
            destination.as_ptr(),
            destination.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_movedim_int(&self, source: i64, destination: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_movedim_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source,
            destination
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mse_loss(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mse_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mse_loss_backward(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mse_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mse_loss_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mse_loss_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mse_loss_out(
        &self,
        out: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mse_loss_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_msort(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_msort(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_msort_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_msort_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mt(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mt(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mul(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mul(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mul_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mul_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mul_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mul_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mul_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mul_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mul_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mul_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mul_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mul_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multi_margin_loss_backward<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        p: S,
        margin: S,
        weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multi_margin_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            p.into().c_scalar,
            margin.into().c_scalar,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multi_margin_loss_backward_grad_input<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        p: S,
        margin: S,
        weight: Option<T>,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multi_margin_loss_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            p.into().c_scalar,
            margin.into().c_scalar,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multilabel_margin_loss(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multilabel_margin_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multilabel_margin_loss_backward(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        is_target: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multilabel_margin_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            is_target.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multilabel_margin_loss_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        is_target: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multilabel_margin_loss_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            is_target.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multilabel_margin_loss_out(
        &self,
        out: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multilabel_margin_loss_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multinomial(&self, num_samples: i64, replacement: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multinomial(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            num_samples,
            if replacement { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multinomial_out(
        &self,
        out: &Tensor,
        num_samples: i64,
        replacement: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multinomial_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            num_samples,
            if replacement { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multiply(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multiply(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multiply_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multiply_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multiply_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multiply_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multiply_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multiply_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_multiply_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_multiply_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mv(&self, vec: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mv(c_tensors.as_mut_ptr(), self.c_tensor, vec.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mv_out(&self, out: &Tensor, vec: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mv_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            vec.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mvlgamma(&self, p: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mvlgamma(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mvlgamma_(&mut self, p: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mvlgamma_(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_mvlgamma_out(&self, out: &Tensor, p: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_mvlgamma_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nan_to_num(
        &self,
        nan: impl Into<Option<f64>>,
        posinf: impl Into<Option<f64>>,
        neginf: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let nan = nan.into();
        let posinf = posinf.into();
        let neginf = neginf.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nan_to_num(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            nan.unwrap_or(std::f64::NAN),
            nan.is_none() as i8,
            posinf.unwrap_or(std::f64::NAN),
            posinf.is_none() as i8,
            neginf.unwrap_or(std::f64::NAN),
            neginf.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nan_to_num_(
        &mut self,
        nan: impl Into<Option<f64>>,
        posinf: impl Into<Option<f64>>,
        neginf: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let nan = nan.into();
        let posinf = posinf.into();
        let neginf = neginf.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nan_to_num_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            nan.unwrap_or(std::f64::NAN),
            nan.is_none() as i8,
            posinf.unwrap_or(std::f64::NAN),
            posinf.is_none() as i8,
            neginf.unwrap_or(std::f64::NAN),
            neginf.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nan_to_num_out(
        &self,
        out: &Tensor,
        nan: impl Into<Option<f64>>,
        posinf: impl Into<Option<f64>>,
        neginf: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let nan = nan.into();
        let posinf = posinf.into();
        let neginf = neginf.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nan_to_num_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            nan.unwrap_or(std::f64::NAN),
            nan.is_none() as i8,
            posinf.unwrap_or(std::f64::NAN),
            posinf.is_none() as i8,
            neginf.unwrap_or(std::f64::NAN),
            neginf.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanmean(
        &self,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanmean(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanmean_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanmean_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanmedian(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanmedian(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanmedian_dim(&self, dim: i64, keepdim: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_nanmedian_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_nanmedian_dim_values(
        &self,
        values: &Tensor,
        indices: &Tensor,
        dim: i64,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_nanmedian_dim_values(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_nanmedian_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanmedian_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanquantile(
        &self,
        q: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanquantile(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            q.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanquantile_out(
        &self,
        out: &Tensor,
        q: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanquantile_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            q.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanquantile_scalar(
        &self,
        q: f64,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanquantile_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            q,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nanquantile_scalar_out(
        &self,
        out: &Tensor,
        q: f64,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nanquantile_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            q,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nansum(
        &self,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nansum(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nansum_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nansum_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_narrow(&self, dim: i64, start: i64, length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_narrow(c_tensors.as_mut_ptr(), self.c_tensor, dim, start, length));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_narrow_copy(&self, dim: i64, start: i64, length: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_narrow_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            start,
            length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_narrow_copy_out(
        &self,
        out: &Tensor,
        dim: i64,
        start: i64,
        length: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_narrow_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            start,
            length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_narrow_tensor(
        &self,
        dim: i64,
        start: &Tensor,
        length: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_narrow_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            start.c_tensor,
            length
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_batch_norm<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_native_batch_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_native_batch_norm_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        save_mean: &Tensor,
        save_invstd: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        running_mean: Option<T>,
        running_var: Option<T>,
        training: bool,
        momentum: f64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_native_batch_norm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            save_mean.c_tensor,
            save_invstd.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_mean.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            running_var.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if training { 1 } else { 0 },
            momentum,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_native_channel_shuffle(&self, groups: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_channel_shuffle(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            groups
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_dropout(&self, p: f64, train: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_native_dropout(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_native_dropout_backward(
        grad_output: &Tensor,
        mask: &Tensor,
        scale: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_dropout_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            mask.c_tensor,
            scale
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_dropout_backward_out(
        out: &Tensor,
        grad_output: &Tensor,
        mask: &Tensor,
        scale: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_dropout_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            mask.c_tensor,
            scale
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_dropout_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        p: f64,
        train: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_native_dropout_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            p,
            if train { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_native_group_norm<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        n: i64,
        c: i64,
        hxw: i64,
        group: i64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_native_group_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            n,
            c,
            hxw,
            group,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_native_group_norm_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        n: i64,
        c: i64,
        hxw: i64,
        group: i64,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_native_group_norm_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            n,
            c,
            hxw,
            group,
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_native_layer_norm<T: Borrow<Tensor>>(
        &self,
        normalized_shape: impl IntList,
        weight: Option<T>,
        bias: Option<T>,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_native_layer_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            normalized_shape.as_ptr(),
            normalized_shape.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_native_layer_norm_out<T: Borrow<Tensor>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        normalized_shape: impl IntList,
        weight: Option<T>,
        bias: Option<T>,
        eps: f64,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_native_layer_norm_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            normalized_shape.as_ptr(),
            normalized_shape.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            eps
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_native_norm(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_norm(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_norm_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_norm_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_norm_scalaropt_dim_dtype<S: Into<Scalar>>(
        &self,
        p: S,
        dim: impl IntList,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_norm_scalaropt_dim_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_native_norm_scalaropt_dim_dtype_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        p: S,
        dim: impl IntList,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_native_norm_scalaropt_dim_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ne<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ne(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ne_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ne_(c_tensors.as_mut_ptr(), self.c_tensor, other.into().c_scalar));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ne_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ne_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ne_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ne_tensor(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ne_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ne_tensor_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ne_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ne_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_neg(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_neg(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_neg_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_neg_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_neg_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_neg_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_negative(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_negative(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_negative_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_negative_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_negative_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_negative_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nested_to_padded_tensor(
        &self,
        padding: f64,
        output_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nested_to_padded_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_empty(
        &self,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_empty(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_empty_out(&self, out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_empty_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_empty_strided(
        &self,
        size: impl IntList,
        stride: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_empty_strided(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_empty_strided_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_empty_strided_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_full<S: Into<Scalar>>(
        &self,
        size: impl IntList,
        fill_value: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_full(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            fill_value.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_full_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        size: impl IntList,
        fill_value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_full_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            fill_value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_ones(
        &self,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_ones(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_ones_out(&self, out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_ones_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_zeros(
        &self,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_zeros(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_new_zeros_out(&self, out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_new_zeros_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nextafter(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nextafter(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nextafter_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nextafter_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nextafter_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nextafter_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss<T: Borrow<Tensor>>(
        &self,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss2d<T: Borrow<Tensor>>(
        &self,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss2d_backward<T: Borrow<Tensor>>(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
        total_weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index,
            total_weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss2d_backward_grad_input<T: Borrow<Tensor>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
        total_weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index,
            total_weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss2d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss_backward<T: Borrow<Tensor>>(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
        total_weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index,
            total_weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss_backward_grad_input<T: Borrow<Tensor>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
        total_weight: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index,
            total_weight.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss_nd<T: Borrow<Tensor>>(
        &self,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss_nd(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nll_loss_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        target: &Tensor,
        weight: Option<T>,
        reduction: crate::Reduction,
        ignore_index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nll_loss_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            reduction.to_int(),
            ignore_index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nonzero(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nonzero(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nonzero_numpy(&self) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_nonzero_numpy(self.c_tensor));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_nonzero_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nonzero_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nonzero_static(&self, size: i64, fill_value: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nonzero_static(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size,
            fill_value
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nonzero_static_out(
        &self,
        out: &Tensor,
        size: i64,
        fill_value: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nonzero_static_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size,
            fill_value
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_dtype_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        p: S,
        dim: impl IntList,
        keepdim: bool,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_except_dim(v: &Tensor, pow: i64, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_except_dim(c_tensors.as_mut_ptr(), v.c_tensor, pow, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        p: S,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_scalar_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_scalar_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_scalaropt_dim<S: Into<Scalar>>(
        &self,
        p: S,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_scalaropt_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_scalaropt_dim_dtype<S: Into<Scalar>>(
        &self,
        p: S,
        dim: impl IntList,
        keepdim: bool,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_scalaropt_dim_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_scalaropt_dtype<S: Into<Scalar>>(
        &self,
        p: S,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_scalaropt_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_norm_scalaropt_dtype_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        p: S,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_norm_scalaropt_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.into().c_scalar,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_normal_(&mut self, mean: f64, std: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_normal_(c_tensors.as_mut_ptr(), self.c_tensor, mean, std));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_normal_functional(&self, mean: f64, std: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_normal_functional(c_tensors.as_mut_ptr(), self.c_tensor, mean, std));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_not_equal<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_not_equal(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_not_equal_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_not_equal_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_not_equal_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_not_equal_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_not_equal_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_not_equal_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_not_equal_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_not_equal_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_not_equal_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_not_equal_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nuclear_norm(&self, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nuclear_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nuclear_norm_dim(&self, dim: impl IntList, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nuclear_norm_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nuclear_norm_dim_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nuclear_norm_dim_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_nuclear_norm_out(&self, out: &Tensor, keepdim: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_nuclear_norm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_numpy_t(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_numpy_t(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_one_hot(&self, num_classes: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_one_hot(c_tensors.as_mut_ptr(), self.c_tensor, num_classes));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ones(size: impl IntList, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ones(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ones_like(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ones_like(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ones_like_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ones_like_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ones_out(out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ones_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_orgqr(&self, input2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_orgqr(c_tensors.as_mut_ptr(), self.c_tensor, input2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_orgqr_out(&self, out: &Tensor, input2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_orgqr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            input2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ormqr(
        &self,
        input2: &Tensor,
        input3: &Tensor,
        left: bool,
        transpose: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ormqr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            input2.c_tensor,
            input3.c_tensor,
            if left { 1 } else { 0 },
            if transpose { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ormqr_out(
        &self,
        out: &Tensor,
        input2: &Tensor,
        input3: &Tensor,
        left: bool,
        transpose: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ormqr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            input2.c_tensor,
            input3.c_tensor,
            if left { 1 } else { 0 },
            if transpose { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_outer(&self, vec2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_outer(c_tensors.as_mut_ptr(), self.c_tensor, vec2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_outer_out(&self, out: &Tensor, vec2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_outer_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            vec2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_output_nr(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_output_nr(self.c_tensor));
        Ok(return_)
    }

    pub fn f_pad(
        &self,
        pad: impl IntList,
        mode: &str,
        value: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let value = value.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pad(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            pad.as_ptr(),
            pad.len_i32(),
            mode.as_ptr(),
            mode.len() as i32,
            value.unwrap_or(std::f64::NAN),
            value.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pad_sequence<T: Borrow<Tensor>>(
        sequences: &[T],
        batch_first: bool,
        padding_value: f64,
        padding_side: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pad_sequence(
            c_tensors.as_mut_ptr(),
            ptr_list(sequences).as_ptr(),
            sequences.len() as i32,
            if batch_first { 1 } else { 0 },
            padding_value,
            padding_side.as_ptr(),
            padding_side.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pairwise_distance(
        x1: &Tensor,
        x2: &Tensor,
        p: f64,
        eps: f64,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pairwise_distance(
            c_tensors.as_mut_ptr(),
            x1.c_tensor,
            x2.c_tensor,
            p,
            eps,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pdist(&self, p: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pdist(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_permute(&self, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_permute(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_permute_copy(&self, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_permute_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_permute_copy_out(&self, out: &Tensor, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_permute_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pin_memory(&self, device: Device) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pin_memory(c_tensors.as_mut_ptr(), self.c_tensor, device.c_int()));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pinverse(&self, rcond: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pinverse(c_tensors.as_mut_ptr(), self.c_tensor, rcond));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pixel_shuffle(&self, upscale_factor: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pixel_shuffle(c_tensors.as_mut_ptr(), self.c_tensor, upscale_factor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pixel_shuffle_out(
        &self,
        out: &Tensor,
        upscale_factor: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pixel_shuffle_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            upscale_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pixel_unshuffle(&self, downscale_factor: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pixel_unshuffle(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            downscale_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pixel_unshuffle_out(
        &self,
        out: &Tensor,
        downscale_factor: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pixel_unshuffle_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            downscale_factor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_poisson(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_poisson(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_poisson_nll_loss(
        &self,
        target: &Tensor,
        log_input: bool,
        full: bool,
        eps: f64,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_poisson_nll_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            if log_input { 1 } else { 0 },
            if full { 1 } else { 0 },
            eps,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_poisson_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_poisson_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_polar(abs: &Tensor, angle: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_polar(c_tensors.as_mut_ptr(), abs.c_tensor, angle.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_polar_out(out: &Tensor, abs: &Tensor, angle: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_polar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            abs.c_tensor,
            angle.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_polygamma(&self, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_polygamma(c_tensors.as_mut_ptr(), n, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_polygamma_(&mut self, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_polygamma_(c_tensors.as_mut_ptr(), self.c_tensor, n));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_polygamma_out(&self, out: &Tensor, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_polygamma_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            n,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_positive(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_positive(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow(&self, exponent: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow(c_tensors.as_mut_ptr(), self.c_tensor, exponent.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_<S: Into<Scalar>>(&mut self, exponent: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_scalar<S: Into<Scalar>>(
        self_scalar: S,
        exponent: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        exponent: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_tensor_(&mut self, exponent: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_tensor_scalar<S: Into<Scalar>>(&self, exponent: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_tensor_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            exponent.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_tensor_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        exponent: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_tensor_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            exponent.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_pow_tensor_tensor_out(
        &self,
        out: &Tensor,
        exponent: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_pow_tensor_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            exponent.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_prelu(&self, weight: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_prelu(c_tensors.as_mut_ptr(), self.c_tensor, weight.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_prod(&self, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_prod(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_prod_dim_int(
        &self,
        dim: i64,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_prod_dim_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_prod_int_out(
        &self,
        out: &Tensor,
        dim: i64,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_prod_int_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_prod_out(
        &self,
        out: &Tensor,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_prod_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_put(
        &self,
        index: &Tensor,
        source: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_put(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            index.c_tensor,
            source.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_put_(
        &mut self,
        index: &Tensor,
        source: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_put_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            index.c_tensor,
            source.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_put_out(
        &self,
        out: &Tensor,
        index: &Tensor,
        source: &Tensor,
        accumulate: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_put_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            index.c_tensor,
            source.c_tensor,
            if accumulate { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_q_per_channel_axis(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_q_per_channel_axis(self.c_tensor));
        Ok(return_)
    }

    pub fn f_q_per_channel_scales(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_q_per_channel_scales(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_q_per_channel_scales_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_q_per_channel_scales_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_q_per_channel_zero_points(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_q_per_channel_zero_points(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_q_per_channel_zero_points_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_q_per_channel_zero_points_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_q_scale(&self) -> Result<f64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_q_scale(self.c_tensor));
        Ok(return_)
    }

    pub fn f_q_zero_point(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_q_zero_point(self.c_tensor));
        Ok(return_)
    }

    pub fn f_qr(&self, some: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_qr(c_tensors.as_mut_ptr(), self.c_tensor, if some { 1 } else { 0 }));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_qr_q(&self, q: &Tensor, r: &Tensor, some: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_qr_q(
            c_tensors.as_mut_ptr(),
            q.c_tensor,
            r.c_tensor,
            self.c_tensor,
            if some { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_quantile(
        &self,
        q: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantile(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            q.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantile_out(
        &self,
        out: &Tensor,
        q: &Tensor,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantile_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            q.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantile_scalar(
        &self,
        q: f64,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantile_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            q,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantile_scalar_out(
        &self,
        out: &Tensor,
        q: f64,
        dim: impl Into<Option<i64>>,
        keepdim: bool,
        interpolation: &str,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantile_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            q,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            if keepdim { 1 } else { 0 },
            interpolation.as_ptr(),
            interpolation.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_channel(
        &self,
        scales: &Tensor,
        zero_points: &Tensor,
        axis: i64,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_channel(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scales.c_tensor,
            zero_points.c_tensor,
            axis,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_channel_out(
        &self,
        out: &Tensor,
        scales: &Tensor,
        zero_points: &Tensor,
        axis: i64,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_channel_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scales.c_tensor,
            zero_points.c_tensor,
            axis,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor(
        &self,
        scale: f64,
        zero_point: i64,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale,
            zero_point,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor_dynamic(
        &self,
        dtype: Kind,
        reduce_range: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_tensor_dynamic(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.c_int(),
            if reduce_range { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor_dynamic_out(
        &self,
        out: &Tensor,
        dtype: Kind,
        reduce_range: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_tensor_dynamic_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.c_int(),
            if reduce_range { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor_out(
        &self,
        out: &Tensor,
        scale: f64,
        zero_point: i64,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scale,
            zero_point,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor_tensor_qparams(
        &self,
        scale: &Tensor,
        zero_point: &Tensor,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_tensor_tensor_qparams(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor_tensor_qparams_out(
        &self,
        out: &Tensor,
        scale: &Tensor,
        zero_point: &Tensor,
        dtype: Kind,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantize_per_tensor_tensor_qparams_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            scale.c_tensor,
            zero_point.c_tensor,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantize_per_tensor_tensors<T: Borrow<Tensor>>(
        tensors: &[T],
        scales: &Tensor,
        zero_points: &Tensor,
        dtype: Kind,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_quantize_per_tensor_tensors(
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            scales.c_tensor,
            zero_points.c_tensor,
            dtype.c_int()
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_quantize_per_tensor_tensors_out<T: Borrow<Tensor>>(
        out: &[T],
        tensors: &[T],
        scales: &Tensor,
        zero_points: &Tensor,
        dtype: Kind,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_quantize_per_tensor_tensors_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            scales.c_tensor,
            zero_points.c_tensor,
            dtype.c_int()
        ));
        Ok(())
    }

    pub fn f_quantized_batch_norm<T: Borrow<Tensor>>(
        &self,
        weight: Option<T>,
        bias: Option<T>,
        mean: &Tensor,
        var: &Tensor,
        eps: f64,
        output_scale: f64,
        output_zero_point: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_batch_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mean.c_tensor,
            var.c_tensor,
            eps,
            output_scale,
            output_zero_point
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_batch_norm_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: Option<T>,
        bias: Option<T>,
        mean: &Tensor,
        var: &Tensor,
        eps: f64,
        output_scale: f64,
        output_zero_point: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_batch_norm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            mean.c_tensor,
            var.c_tensor,
            eps,
            output_scale,
            output_zero_point
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_gru_cell<S: Into<Scalar>>(
        &self,
        hx: &Tensor,
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: &Tensor,
        b_hh: &Tensor,
        packed_ih: &Tensor,
        packed_hh: &Tensor,
        col_offsets_ih: &Tensor,
        col_offsets_hh: &Tensor,
        scale_ih: S,
        scale_hh: S,
        zero_point_ih: S,
        zero_point_hh: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_gru_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.c_tensor,
            b_hh.c_tensor,
            packed_ih.c_tensor,
            packed_hh.c_tensor,
            col_offsets_ih.c_tensor,
            col_offsets_hh.c_tensor,
            scale_ih.into().c_scalar,
            scale_hh.into().c_scalar,
            zero_point_ih.into().c_scalar,
            zero_point_hh.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_lstm_cell<T: Borrow<Tensor>, S: Into<Scalar>>(
        &self,
        hx: &[T],
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: &Tensor,
        b_hh: &Tensor,
        packed_ih: &Tensor,
        packed_hh: &Tensor,
        col_offsets_ih: &Tensor,
        col_offsets_hh: &Tensor,
        scale_ih: S,
        scale_hh: S,
        zero_point_ih: S,
        zero_point_hh: S,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_quantized_lstm_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            ptr_list(hx).as_ptr(),
            hx.len() as i32,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.c_tensor,
            b_hh.c_tensor,
            packed_ih.c_tensor,
            packed_hh.c_tensor,
            col_offsets_ih.c_tensor,
            col_offsets_hh.c_tensor,
            scale_ih.into().c_scalar,
            scale_hh.into().c_scalar,
            zero_point_ih.into().c_scalar,
            zero_point_hh.into().c_scalar
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_quantized_max_pool1d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_max_pool1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_max_pool1d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_max_pool1d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_max_pool2d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_max_pool2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_max_pool2d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_max_pool2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_max_pool3d(
        &self,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_max_pool3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_max_pool3d_out(
        &self,
        out: &Tensor,
        kernel_size: impl IntList,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
        ceil_mode: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_max_pool3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32(),
            if ceil_mode { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_rnn_relu_cell<S: Into<Scalar>>(
        &self,
        hx: &Tensor,
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: &Tensor,
        b_hh: &Tensor,
        packed_ih: &Tensor,
        packed_hh: &Tensor,
        col_offsets_ih: &Tensor,
        col_offsets_hh: &Tensor,
        scale_ih: S,
        scale_hh: S,
        zero_point_ih: S,
        zero_point_hh: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_rnn_relu_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.c_tensor,
            b_hh.c_tensor,
            packed_ih.c_tensor,
            packed_hh.c_tensor,
            col_offsets_ih.c_tensor,
            col_offsets_hh.c_tensor,
            scale_ih.into().c_scalar,
            scale_hh.into().c_scalar,
            zero_point_ih.into().c_scalar,
            zero_point_hh.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_quantized_rnn_tanh_cell<S: Into<Scalar>>(
        &self,
        hx: &Tensor,
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: &Tensor,
        b_hh: &Tensor,
        packed_ih: &Tensor,
        packed_hh: &Tensor,
        col_offsets_ih: &Tensor,
        col_offsets_hh: &Tensor,
        scale_ih: S,
        scale_hh: S,
        zero_point_ih: S,
        zero_point_hh: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_quantized_rnn_tanh_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.c_tensor,
            b_hh.c_tensor,
            packed_ih.c_tensor,
            packed_hh.c_tensor,
            col_offsets_ih.c_tensor,
            col_offsets_hh.c_tensor,
            scale_ih.into().c_scalar,
            scale_hh.into().c_scalar,
            zero_point_ih.into().c_scalar,
            zero_point_hh.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rad2deg(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rad2deg(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rad2deg_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rad2deg_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rad2deg_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rad2deg_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rand(size: impl IntList, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rand(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rand_like(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rand_like(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rand_like_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rand_like_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rand_out(out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rand_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint(
        high: i64,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint(
            c_tensors.as_mut_ptr(),
            high,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_like(&self, high: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_like(c_tensors.as_mut_ptr(), self.c_tensor, high));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_like_low_dtype(&self, low: i64, high: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_like_low_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            low,
            high
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_like_low_dtype_out(
        &self,
        out: &Tensor,
        low: i64,
        high: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_like_low_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            low,
            high
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_like_out(&self, out: &Tensor, high: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_like_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            high
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_low(
        low: i64,
        high: i64,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_low(
            c_tensors.as_mut_ptr(),
            low,
            high,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_low_out(
        out: &Tensor,
        low: i64,
        high: i64,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_low_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            low,
            high,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randint_out(out: &Tensor, high: i64, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randint_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            high,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randn(size: impl IntList, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randn(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randn_like(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randn_like(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randn_like_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randn_like_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randn_out(out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_from(&self, from: i64, to: impl Into<Option<i64>>) -> Result<Tensor, TchError> {
        let to = to.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_from(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            from,
            to.unwrap_or(0i64),
            to.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_from_(
        &mut self,
        from: i64,
        to: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let to = to.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_from_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            from,
            to.unwrap_or(0i64),
            to.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_from_out(
        &self,
        out: &Tensor,
        from: i64,
        to: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let to = to.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_from_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            from,
            to.unwrap_or(0i64),
            to.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_to(&self, to: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_to(c_tensors.as_mut_ptr(), self.c_tensor, to));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_to_(&mut self, to: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_to_(c_tensors.as_mut_ptr(), self.c_tensor, to));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_random_to_out(&self, out: &Tensor, to: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_random_to_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            to
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randperm(n: i64, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randperm(
            c_tensors.as_mut_ptr(),
            n,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_randperm_out(out: &Tensor, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_randperm_out(c_tensors.as_mut_ptr(), out.c_tensor, n));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_range<S: Into<Scalar>>(
        start: S,
        end: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_range(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_range_out<S: Into<Scalar>>(
        out: &Tensor,
        start: S,
        end: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_range_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.into().c_scalar,
            end.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_range_out_<S: Into<Scalar>>(
        out: &Tensor,
        start: S,
        end: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_range_out_(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            start.into().c_scalar,
            end.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_range_step<S: Into<Scalar>>(
        start: S,
        end: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_range_step(
            c_tensors.as_mut_ptr(),
            start.into().c_scalar,
            end.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_ravel(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_ravel(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_real(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_real(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reciprocal(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reciprocal(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reciprocal_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reciprocal_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reciprocal_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reciprocal_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad1d(&self, padding: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad1d_backward(
        &self,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad1d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad1d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad1d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad1d_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad1d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad2d(&self, padding: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad2d_backward(
        &self,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad2d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad2d_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad3d(&self, padding: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad3d_backward(
        &self,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad3d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reflection_pad3d_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reflection_pad3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_relu(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_relu(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_relu6(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_relu6(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_relu6_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_relu6_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_relu_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_relu_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_relu_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_relu_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_scalar_tensor<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_scalar_tensor(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_scalar_tensor_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_tensor(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_tensor_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_remainder_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_remainder_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_renorm<S: Into<Scalar>>(
        &self,
        p: S,
        dim: i64,
        maxnorm: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_renorm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar,
            dim,
            maxnorm.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_renorm_<S: Into<Scalar>>(
        &mut self,
        p: S,
        dim: i64,
        maxnorm: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_renorm_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            p.into().c_scalar,
            dim,
            maxnorm.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_renorm_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        p: S,
        dim: i64,
        maxnorm: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_renorm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p.into().c_scalar,
            dim,
            maxnorm.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_repeat(&self, repeats: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_repeat(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            repeats.as_ptr(),
            repeats.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_repeat_interleave(
        repeats: &Tensor,
        output_size: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let output_size = output_size.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_repeat_interleave(
            c_tensors.as_mut_ptr(),
            repeats.c_tensor,
            output_size.unwrap_or(0i64),
            output_size.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_repeat_interleave_self_int(
        &self,
        repeats: i64,
        dim: impl Into<Option<i64>>,
        output_size: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let output_size = output_size.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_repeat_interleave_self_int(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            repeats,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            output_size.unwrap_or(0i64),
            output_size.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_repeat_interleave_self_tensor(
        &self,
        repeats: &Tensor,
        dim: impl Into<Option<i64>>,
        output_size: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let output_size = output_size.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_repeat_interleave_self_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            repeats.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8,
            output_size.unwrap_or(0i64),
            output_size.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_repeat_interleave_tensor_out(
        out: &Tensor,
        repeats: &Tensor,
        output_size: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let output_size = output_size.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_repeat_interleave_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            repeats.c_tensor,
            output_size.unwrap_or(0i64),
            output_size.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_repeat_out(&self, out: &Tensor, repeats: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_repeat_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            repeats.as_ptr(),
            repeats.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad1d(&self, padding: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad1d_backward(
        &self,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad1d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad1d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad1d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad1d_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad1d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad2d(&self, padding: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad2d_backward(
        &self,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad2d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad2d_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad3d(&self, padding: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad3d_backward(
        &self,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad3d_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_replication_pad3d_out(
        &self,
        out: &Tensor,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_replication_pad3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_requires_grad_(&mut self, requires_grad: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_requires_grad_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if requires_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reshape(&self, shape: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reshape(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            shape.as_ptr(),
            shape.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_reshape_as(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_reshape_as(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_(&mut self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_as(&self, the_template: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_as(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            the_template.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_as_(&mut self, the_template: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_as_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            the_template.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_as_out(&self, out: &Tensor, the_template: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_as_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            the_template.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_as_sparse(&self, the_template: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_as_sparse(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            the_template.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_as_sparse_(&mut self, the_template: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_as_sparse_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            the_template.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_as_sparse_out(
        &self,
        out: &Tensor,
        the_template: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_as_sparse_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            the_template.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resize_out(&self, out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resize_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resolve_conj(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resolve_conj(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_resolve_neg(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_resolve_neg(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_retains_grad(&self) -> Result<bool, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_retains_grad(self.c_tensor));
        Ok(return_ != 0)
    }

    pub fn f_rms_norm<T: Borrow<Tensor>>(
        &self,
        normalized_shape: impl IntList,
        weight: Option<T>,
        eps: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rms_norm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            normalized_shape.as_ptr(),
            normalized_shape.len_i32(),
            weight.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rnn_relu<T: Borrow<Tensor>>(
        &self,
        hx: &Tensor,
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_rnn_relu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_rnn_relu_cell<T: Borrow<Tensor>>(
        &self,
        hx: &Tensor,
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: Option<T>,
        b_hh: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rnn_relu_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            b_hh.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rnn_relu_data<T: Borrow<Tensor>>(
        data: &Tensor,
        batch_sizes: &Tensor,
        hx: &Tensor,
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_rnn_relu_data(
            c_tensors.as_mut_ptr(),
            data.c_tensor,
            batch_sizes.c_tensor,
            hx.c_tensor,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_rnn_tanh<T: Borrow<Tensor>>(
        &self,
        hx: &Tensor,
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
        batch_first: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_rnn_tanh(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 },
            if batch_first { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_rnn_tanh_cell<T: Borrow<Tensor>>(
        &self,
        hx: &Tensor,
        w_ih: &Tensor,
        w_hh: &Tensor,
        b_ih: Option<T>,
        b_hh: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rnn_tanh_cell(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            hx.c_tensor,
            w_ih.c_tensor,
            w_hh.c_tensor,
            b_ih.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            b_hh.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rnn_tanh_data<T: Borrow<Tensor>>(
        data: &Tensor,
        batch_sizes: &Tensor,
        hx: &Tensor,
        params: &[T],
        has_biases: bool,
        num_layers: i64,
        dropout: f64,
        train: bool,
        bidirectional: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_rnn_tanh_data(
            c_tensors.as_mut_ptr(),
            data.c_tensor,
            batch_sizes.c_tensor,
            hx.c_tensor,
            ptr_list(params).as_ptr(),
            params.len() as i32,
            if has_biases { 1 } else { 0 },
            num_layers,
            dropout,
            if train { 1 } else { 0 },
            if bidirectional { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_roll(&self, shifts: impl IntList, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_roll(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            shifts.as_ptr(),
            shifts.len_i32(),
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_roll_out(
        &self,
        out: &Tensor,
        shifts: impl IntList,
        dims: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_roll_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            shifts.as_ptr(),
            shifts.len_i32(),
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rot90(&self, k: i64, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rot90(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            k,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rot90_out(
        &self,
        out: &Tensor,
        k: i64,
        dims: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rot90_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            k,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_round(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_round(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_round_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_round_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_round_decimals(&self, decimals: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_round_decimals(c_tensors.as_mut_ptr(), self.c_tensor, decimals));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_round_decimals_(&mut self, decimals: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_round_decimals_(c_tensors.as_mut_ptr(), self.c_tensor, decimals));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_round_decimals_out(&self, out: &Tensor, decimals: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_round_decimals_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            decimals
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_round_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_round_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_row_indices(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_row_indices(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_row_indices_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_row_indices_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_row_indices_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_row_indices_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_row_stack<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_row_stack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_row_stack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_row_stack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu(&self, training: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if training { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu_(&mut self, training: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if training { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu_with_noise(&self, noise: &Tensor, training: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu_with_noise(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            noise.c_tensor,
            if training { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu_with_noise_(
        &mut self,
        noise: &Tensor,
        training: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu_with_noise_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            noise.c_tensor,
            if training { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu_with_noise_backward<S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        noise: &Tensor,
        lower: S,
        upper: S,
        training: bool,
        self_is_result: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu_with_noise_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            noise.c_tensor,
            lower.into().c_scalar,
            upper.into().c_scalar,
            if training { 1 } else { 0 },
            if self_is_result { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu_with_noise_backward_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        grad_output: &Tensor,
        noise: &Tensor,
        lower: S,
        upper: S,
        training: bool,
        self_is_result: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu_with_noise_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            noise.c_tensor,
            lower.into().c_scalar,
            upper.into().c_scalar,
            if training { 1 } else { 0 },
            if self_is_result { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rrelu_with_noise_out(
        &self,
        out: &Tensor,
        noise: &Tensor,
        training: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rrelu_with_noise_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            noise.c_tensor,
            if training { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsqrt(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsqrt(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsqrt_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsqrt_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsqrt_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsqrt_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsub(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsub(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsub_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsub_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsub_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsub_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_rsub_tensor_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_rsub_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scalar_tensor<S: Into<Scalar>>(
        s: S,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scalar_tensor(
            c_tensors.as_mut_ptr(),
            s.into().c_scalar,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scalar_tensor_out<S: Into<Scalar>>(out: &Tensor, s: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scalar_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            s.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scaled_dot_product_attention<T: Borrow<Tensor>>(
        query: &Tensor,
        key: &Tensor,
        value: &Tensor,
        attn_mask: Option<T>,
        dropout_p: f64,
        is_causal: bool,
        scale: impl Into<Option<f64>>,
        enable_gqa: bool,
    ) -> Result<Tensor, TchError> {
        let scale = scale.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scaled_dot_product_attention(
            c_tensors.as_mut_ptr(),
            query.c_tensor,
            key.c_tensor,
            value.c_tensor,
            attn_mask.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            dropout_p,
            if is_causal { 1 } else { 0 },
            scale.unwrap_or(std::f64::NAN),
            scale.is_none() as i8,
            if enable_gqa { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter(&self, dim: i64, index: &Tensor, src: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_(
        &mut self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_add(
        &self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_add(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_add_(
        &mut self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_add_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_add_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_add_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_reduce(
        &self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_reduce(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_reduce_(
        &mut self,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_reduce_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_reduce_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_reduce_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_src_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        src: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_src_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            src.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_value<S: Into<Scalar>>(
        &self,
        dim: i64,
        index: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_value(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_value_<S: Into<Scalar>>(
        &mut self,
        dim: i64,
        index: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_value_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_value_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_value_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_value_reduce<S: Into<Scalar>>(
        &self,
        dim: i64,
        index: &Tensor,
        value: S,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_value_reduce(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_value_reduce_<S: Into<Scalar>>(
        &mut self,
        dim: i64,
        index: &Tensor,
        value: S,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_value_reduce_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_scatter_value_reduce_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        dim: i64,
        index: &Tensor,
        value: S,
        reduce: &str,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_scatter_value_reduce_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index.c_tensor,
            value.into().c_scalar,
            reduce.as_ptr(),
            reduce.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_searchsorted<T: Borrow<Tensor>>(
        &self,
        sorted_sequence: &Tensor,
        out_int32: bool,
        right: bool,
        side: &str,
        sorter: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_searchsorted(
            c_tensors.as_mut_ptr(),
            sorted_sequence.c_tensor,
            self.c_tensor,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 },
            side.as_ptr(),
            side.len() as i32,
            sorter.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_searchsorted_scalar<T: Borrow<Tensor>, S: Into<Scalar>>(
        sorted_sequence: &Tensor,
        self_scalar: S,
        out_int32: bool,
        right: bool,
        side: &str,
        sorter: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_searchsorted_scalar(
            c_tensors.as_mut_ptr(),
            sorted_sequence.c_tensor,
            self_scalar.into().c_scalar,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 },
            side.as_ptr(),
            side.len() as i32,
            sorter.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_searchsorted_scalar_out<T: Borrow<Tensor>, S: Into<Scalar>>(
        out: &Tensor,
        sorted_sequence: &Tensor,
        self_scalar: S,
        out_int32: bool,
        right: bool,
        side: &str,
        sorter: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_searchsorted_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            sorted_sequence.c_tensor,
            self_scalar.into().c_scalar,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 },
            side.as_ptr(),
            side.len() as i32,
            sorter.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_searchsorted_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        sorted_sequence: &Tensor,
        out_int32: bool,
        right: bool,
        side: &str,
        sorter: Option<T>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_searchsorted_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            sorted_sequence.c_tensor,
            self.c_tensor,
            if out_int32 { 1 } else { 0 },
            if right { 1 } else { 0 },
            side.as_ptr(),
            side.len() as i32,
            sorter.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor)
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_segment_reduce<T: Borrow<Tensor>, S: Into<Scalar>>(
        data: &Tensor,
        reduce: &str,
        lengths: Option<T>,
        indices: Option<T>,
        offsets: Option<T>,
        axis: i64,
        unsafe_: bool,
        initial: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_segment_reduce(
            c_tensors.as_mut_ptr(),
            data.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            indices.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            offsets.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            axis,
            if unsafe_ { 1 } else { 0 },
            initial.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_segment_reduce_out<T: Borrow<Tensor>, S: Into<Scalar>>(
        out: &Tensor,
        data: &Tensor,
        reduce: &str,
        lengths: Option<T>,
        indices: Option<T>,
        offsets: Option<T>,
        axis: i64,
        unsafe_: bool,
        initial: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_segment_reduce_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            data.c_tensor,
            reduce.as_ptr(),
            reduce.len() as i32,
            lengths.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            indices.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            offsets.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            axis,
            if unsafe_ { 1 } else { 0 },
            initial.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select(&self, dim: i64, index: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select(c_tensors.as_mut_ptr(), self.c_tensor, dim, index));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select_backward(
        grad_output: &Tensor,
        input_sizes: impl IntList,
        dim: i64,
        index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            dim,
            index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select_backward_out(
        out: &Tensor,
        grad_output: &Tensor,
        input_sizes: impl IntList,
        dim: i64,
        index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            dim,
            index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select_copy(&self, dim: i64, index: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select_copy(c_tensors.as_mut_ptr(), self.c_tensor, dim, index));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select_copy_int_out(
        &self,
        out: &Tensor,
        dim: i64,
        index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select_copy_int_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select_scatter(&self, src: &Tensor, dim: i64, index: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select_scatter(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            dim,
            index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_select_scatter_out(
        &self,
        out: &Tensor,
        src: &Tensor,
        dim: i64,
        index: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_select_scatter_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            src.c_tensor,
            dim,
            index
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_selu(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_selu(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_selu_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_selu_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_data(&mut self, new_data: &Tensor) -> Result<(), TchError> {
        unsafe_torch_err!(atg_set_data(self.c_tensor, new_data.c_tensor));
        Ok(())
    }

    pub fn f_set_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_requires_grad(&self, r: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_requires_grad(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if r { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_source_tensor(&self, source: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_source_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_source_tensor_(&mut self, source: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_source_tensor_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_source_tensor_out(
        &self,
        out: &Tensor,
        source: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_source_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            source.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_set_source_tensor_storage_offset_(
        &mut self,
        source: &Tensor,
        storage_offset: i64,
        size: impl IntList,
        stride: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_set_source_tensor_storage_offset_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            source.c_tensor,
            storage_offset,
            size.as_ptr(),
            size.len_i32(),
            stride.as_ptr(),
            stride.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sgn(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sgn(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sgn_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sgn_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sgn_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sgn_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sigmoid(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sigmoid(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sigmoid_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sigmoid_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sigmoid_backward(grad_output: &Tensor, output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sigmoid_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sigmoid_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sigmoid_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sigmoid_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sigmoid_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sign(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sign(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sign_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sign_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sign_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sign_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_signbit(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_signbit(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_signbit_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_signbit_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_silu(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_silu(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_silu_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_silu_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_silu_backward(&self, grad_output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_silu_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_silu_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_silu_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_silu_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_silu_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sin(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sin(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sin_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sin_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sin_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sin_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sinc(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sinc(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sinc_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sinc_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sinc_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sinc_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sinh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sinh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sinh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sinh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sinh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sinh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice(
        &self,
        dim: i64,
        start: impl Into<Option<i64>>,
        end: impl Into<Option<i64>>,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let start = start.into();
        let end = end.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            start.unwrap_or(0i64),
            start.is_none() as i8,
            end.unwrap_or(0i64),
            end.is_none() as i8,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_backward(
        grad_output: &Tensor,
        input_sizes: impl IntList,
        dim: i64,
        start: i64,
        end: i64,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            dim,
            start,
            end,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_backward_out(
        out: &Tensor,
        grad_output: &Tensor,
        input_sizes: impl IntList,
        dim: i64,
        start: i64,
        end: i64,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_output.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            dim,
            start,
            end,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_copy(
        &self,
        dim: i64,
        start: impl Into<Option<i64>>,
        end: impl Into<Option<i64>>,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let start = start.into();
        let end = end.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            start.unwrap_or(0i64),
            start.is_none() as i8,
            end.unwrap_or(0i64),
            end.is_none() as i8,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_copy_tensor_out(
        &self,
        out: &Tensor,
        dim: i64,
        start: impl Into<Option<i64>>,
        end: impl Into<Option<i64>>,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let start = start.into();
        let end = end.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_copy_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            start.unwrap_or(0i64),
            start.is_none() as i8,
            end.unwrap_or(0i64),
            end.is_none() as i8,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_inverse(
        &self,
        src: &Tensor,
        dim: i64,
        start: impl Into<Option<i64>>,
        end: impl Into<Option<i64>>,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let start = start.into();
        let end = end.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_inverse(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            dim,
            start.unwrap_or(0i64),
            start.is_none() as i8,
            end.unwrap_or(0i64),
            end.is_none() as i8,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_scatter(
        &self,
        src: &Tensor,
        dim: i64,
        start: impl Into<Option<i64>>,
        end: impl Into<Option<i64>>,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let start = start.into();
        let end = end.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_scatter(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            src.c_tensor,
            dim,
            start.unwrap_or(0i64),
            start.is_none() as i8,
            end.unwrap_or(0i64),
            end.is_none() as i8,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slice_scatter_out(
        &self,
        out: &Tensor,
        src: &Tensor,
        dim: i64,
        start: impl Into<Option<i64>>,
        end: impl Into<Option<i64>>,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let start = start.into();
        let end = end.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slice_scatter_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            src.c_tensor,
            dim,
            start.unwrap_or(0i64),
            start.is_none() as i8,
            end.unwrap_or(0i64),
            end.is_none() as i8,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slogdet(&self) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_slogdet(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_slogdet_out(
        &self,
        sign: &Tensor,
        logabsdet: &Tensor,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_slogdet_out(
            c_tensors.as_mut_ptr(),
            sign.c_tensor,
            logabsdet.c_tensor,
            self.c_tensor
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_slow_conv3d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv3d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_dilated2d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_dilated2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_dilated2d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_dilated2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_dilated3d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_dilated3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_dilated3d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_dilated3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_transpose2d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_transpose2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_transpose2d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_transpose2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_transpose3d<T: Borrow<Tensor>>(
        &self,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_transpose3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_slow_conv_transpose3d_out<T: Borrow<Tensor>>(
        &self,
        out: &Tensor,
        weight: &Tensor,
        kernel_size: impl IntList,
        bias: Option<T>,
        stride: impl IntList,
        padding: impl IntList,
        output_padding: impl IntList,
        dilation: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_slow_conv_transpose3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            weight.c_tensor,
            kernel_size.as_ptr(),
            kernel_size.len_i32(),
            bias.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            stride.as_ptr(),
            stride.len_i32(),
            padding.as_ptr(),
            padding.len_i32(),
            output_padding.as_ptr(),
            output_padding.len_i32(),
            dilation.as_ptr(),
            dilation.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_smm(&self, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_smm(c_tensors.as_mut_ptr(), self.c_tensor, mat2.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_smooth_l1_loss(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
        beta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_smooth_l1_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            beta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_smooth_l1_loss_backward(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        beta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_smooth_l1_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            beta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_smooth_l1_loss_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        beta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_smooth_l1_loss_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            beta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_smooth_l1_loss_out(
        &self,
        out: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
        beta: f64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_smooth_l1_loss_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int(),
            beta
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_soft_margin_loss(
        &self,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_soft_margin_loss(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_soft_margin_loss_backward(
        &self,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_soft_margin_loss_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_soft_margin_loss_backward_grad_input(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_soft_margin_loss_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_soft_margin_loss_out(
        &self,
        out: &Tensor,
        target: &Tensor,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_soft_margin_loss_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            target.c_tensor,
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softmax(&self, dim: i64, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softmax_int_out(
        &self,
        out: &Tensor,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softmax_int_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softplus(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softplus(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softplus_backward<S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        beta: S,
        threshold: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softplus_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            beta.into().c_scalar,
            threshold.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softplus_backward_grad_input<S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        beta: S,
        threshold: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softplus_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            beta.into().c_scalar,
            threshold.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softplus_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softplus_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softshrink(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softshrink(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softshrink_backward<S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        lambd: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softshrink_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            lambd.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softshrink_backward_grad_input<S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        lambd: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softshrink_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            lambd.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_softshrink_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_softshrink_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sort(&self, dim: i64, descending: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_sort(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_sort_stable(
        &self,
        stable: bool,
        dim: i64,
        descending: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_sort_stable(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if stable { 1 } else { 0 },
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_sort_values(
        &self,
        values: &Tensor,
        indices: &Tensor,
        dim: i64,
        descending: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_sort_values(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_sort_values_stable(
        &self,
        values: &Tensor,
        indices: &Tensor,
        stable: bool,
        dim: i64,
        descending: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_sort_values_stable(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            if stable { 1 } else { 0 },
            dim,
            if descending { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_sparse_bsc_tensor(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_bsc_tensor(
            c_tensors.as_mut_ptr(),
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_bsc_tensor_ccol_row_value_size(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_bsc_tensor_ccol_row_value_size(
            c_tensors.as_mut_ptr(),
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_bsr_tensor(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_bsr_tensor(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_bsr_tensor_crow_col_value_size(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_bsr_tensor_crow_col_value_size(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_compressed_tensor(
        compressed_indices: &Tensor,
        plain_indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_compressed_tensor(
            c_tensors.as_mut_ptr(),
            compressed_indices.c_tensor,
            plain_indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_compressed_tensor_comp_plain_value_size(
        compressed_indices: &Tensor,
        plain_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_compressed_tensor_comp_plain_value_size(
            c_tensors.as_mut_ptr(),
            compressed_indices.c_tensor,
            plain_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_coo_tensor(
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_coo_tensor(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_coo_tensor_indices(
        indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
        is_coalesced: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_coo_tensor_indices(
            c_tensors.as_mut_ptr(),
            indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int(),
            if is_coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_coo_tensor_indices_size(
        indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
        is_coalesced: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_coo_tensor_indices_size(
            c_tensors.as_mut_ptr(),
            indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int(),
            if is_coalesced { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_coo_tensor_size_out(
        out: &Tensor,
        size: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_coo_tensor_size_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_csc_tensor(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_csc_tensor(
            c_tensors.as_mut_ptr(),
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_csc_tensor_ccol_row_value_size(
        ccol_indices: &Tensor,
        row_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_csc_tensor_ccol_row_value_size(
            c_tensors.as_mut_ptr(),
            ccol_indices.c_tensor,
            row_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_csr_tensor(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_csr_tensor(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_csr_tensor_crow_col_value_size(
        crow_indices: &Tensor,
        col_indices: &Tensor,
        values: &Tensor,
        size: impl IntList,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_csr_tensor_crow_col_value_size(
            c_tensors.as_mut_ptr(),
            crow_indices.c_tensor,
            col_indices.c_tensor,
            values.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_dim(&self) -> Result<i64, TchError> {
        let return_;
        unsafe_torch_err!(return_ = atg_sparse_dim(self.c_tensor));
        Ok(return_)
    }

    pub fn f_sparse_mask(&self, mask: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_mask(c_tensors.as_mut_ptr(), self.c_tensor, mask.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_mask_out(&self, out: &Tensor, mask: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_mask_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mask.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_resize(
        &self,
        size: impl IntList,
        sparse_dim: i64,
        dense_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_resize(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            sparse_dim,
            dense_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_resize_(
        &mut self,
        size: impl IntList,
        sparse_dim: i64,
        dense_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_resize_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            sparse_dim,
            dense_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_resize_and_clear(
        &self,
        size: impl IntList,
        sparse_dim: i64,
        dense_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_resize_and_clear(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            sparse_dim,
            dense_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_resize_and_clear_(
        &mut self,
        size: impl IntList,
        sparse_dim: i64,
        dense_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_resize_and_clear_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            sparse_dim,
            dense_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_resize_and_clear_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        sparse_dim: i64,
        dense_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_resize_and_clear_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            sparse_dim,
            dense_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_resize_out(
        &self,
        out: &Tensor,
        size: impl IntList,
        sparse_dim: i64,
        dense_dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_resize_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32(),
            sparse_dim,
            dense_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_sampled_addmm(&self, mat1: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_sampled_addmm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sparse_sampled_addmm_out(
        &self,
        out: &Tensor,
        mat1: &Tensor,
        mat2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sparse_sampled_addmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_airy_ai(x: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_airy_ai(c_tensors.as_mut_ptr(), x.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_airy_ai_out(out: &Tensor, x: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_airy_ai_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_j0(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_j0(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_j0_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_j0_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_j1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_j1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_j1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_j1_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_y0(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_y0(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_y0_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_y0_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_y1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_y1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_bessel_y1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_bessel_y1_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_t(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_t(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_t_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_t_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_t_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_t_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_t_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_t_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_t_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_t_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_t_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_t_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_u(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_u(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_u_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_u_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_u_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_u_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_u_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_u_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_u_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_u_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_u_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_u_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_v(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_v(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_v_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_v_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_v_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_v_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_v_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_v_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_v_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_v_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_v_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_v_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_w(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_w(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_w_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_w_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_w_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_w_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_w_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_w_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_w_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_w_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_chebyshev_polynomial_w_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_chebyshev_polynomial_w_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_digamma(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_digamma(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_digamma_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_digamma_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_entr(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_entr(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_entr_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_entr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erf(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erf(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erf_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erf_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erfc(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erfc(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erfc_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erfc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erfcx(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erfcx(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erfcx_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erfcx_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erfinv(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erfinv(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_erfinv_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_erfinv_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_exp2(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_exp2(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_exp2_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_exp2_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_expit(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_expit(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_expit_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_expit_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_expm1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_expm1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_expm1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_expm1_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_gammainc(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_gammainc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_gammainc_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_gammainc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_gammaincc(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_gammaincc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_gammaincc_out(
        &self,
        out: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_gammaincc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_gammaln(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_gammaln(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_gammaln_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_gammaln_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_h(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_h(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_h_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_h_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_h_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_h_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_h_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_h_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_h_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_h_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_h_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_h_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_he(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_he(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_he_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_he_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_he_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_he_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_he_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_he_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_he_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_he_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_hermite_polynomial_he_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_hermite_polynomial_he_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i0(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i0(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i0_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i0_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i0e(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i0e(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i0e_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i0e_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i1_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i1e(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i1e(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_i1e_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_i1e_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_laguerre_polynomial_l(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_laguerre_polynomial_l(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_laguerre_polynomial_l_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_laguerre_polynomial_l_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_laguerre_polynomial_l_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_laguerre_polynomial_l_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_laguerre_polynomial_l_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_laguerre_polynomial_l_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_laguerre_polynomial_l_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_laguerre_polynomial_l_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_laguerre_polynomial_l_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_laguerre_polynomial_l_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_legendre_polynomial_p(x: &Tensor, n: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_legendre_polynomial_p(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_legendre_polynomial_p_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_legendre_polynomial_p_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_legendre_polynomial_p_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_legendre_polynomial_p_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_legendre_polynomial_p_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_legendre_polynomial_p_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_legendre_polynomial_p_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_legendre_polynomial_p_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_legendre_polynomial_p_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_legendre_polynomial_p_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_log1p(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_log1p(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_log1p_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_log1p_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_log_ndtr(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_log_ndtr(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_log_ndtr_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_log_ndtr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_log_softmax(
        &self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_log_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_logit(&self, eps: impl Into<Option<f64>>) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_logit(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_logit_out(
        &self,
        out: &Tensor,
        eps: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let eps = eps.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_logit_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            eps.unwrap_or(std::f64::NAN),
            eps.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_logsumexp(
        &self,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_logsumexp(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_logsumexp_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_logsumexp_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_i0(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_i0(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_i0_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_i0_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_i1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_i1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_i1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_i1_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_k0(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_k0(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_k0_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_k0_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_k1(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_k1(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_modified_bessel_k1_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_modified_bessel_k1_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_multigammaln(&self, p: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_multigammaln(c_tensors.as_mut_ptr(), self.c_tensor, p));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_multigammaln_out(&self, out: &Tensor, p: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_multigammaln_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            p
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_ndtr(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_ndtr(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_ndtr_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_ndtr_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_ndtri(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_ndtri(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_ndtri_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_ndtri_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_polygamma(&self, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_polygamma(c_tensors.as_mut_ptr(), n, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_polygamma_out(&self, out: &Tensor, n: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_polygamma_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            n,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_psi(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_psi(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_psi_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_psi_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_round(&self, decimals: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_round(c_tensors.as_mut_ptr(), self.c_tensor, decimals));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_round_out(&self, out: &Tensor, decimals: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_round_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            decimals
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_scaled_modified_bessel_k0(x: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_scaled_modified_bessel_k0(
            c_tensors.as_mut_ptr(),
            x.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_scaled_modified_bessel_k0_out(
        out: &Tensor,
        x: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_scaled_modified_bessel_k0_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_scaled_modified_bessel_k1(x: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_scaled_modified_bessel_k1(
            c_tensors.as_mut_ptr(),
            x.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_scaled_modified_bessel_k1_out(
        out: &Tensor,
        x: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_scaled_modified_bessel_k1_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_t(
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_t(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_t_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_t_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_t_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_t_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_t_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_t_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_t_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_t_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_t_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_t_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_u(
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_u(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_u_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_u_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_u_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_u_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_u_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_u_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_u_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_u_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_u_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_u_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_v(
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_v(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_v_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_v_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_v_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_v_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_v_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_v_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_v_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_v_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_v_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_v_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_w(
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_w(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_w_n_scalar<S: Into<Scalar>>(
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_w_n_scalar(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_w_n_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: &Tensor,
        n: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_w_n_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_w_out(
        out: &Tensor,
        x: &Tensor,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_w_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_w_x_scalar<S: Into<Scalar>>(
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_w_x_scalar(
            c_tensors.as_mut_ptr(),
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_shifted_chebyshev_polynomial_w_x_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        x: S,
        n: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_shifted_chebyshev_polynomial_w_x_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.into().c_scalar,
            n.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_sinc(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_sinc(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_sinc_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_sinc_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_softmax(
        &self,
        dim: i64,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_softmax(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_spherical_bessel_j0(x: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_spherical_bessel_j0(c_tensors.as_mut_ptr(), x.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_spherical_bessel_j0_out(out: &Tensor, x: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_spherical_bessel_j0_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            x.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlog1py(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlog1py(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlog1py_other_scalar<S: Into<Scalar>>(
        &self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlog1py_other_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlog1py_other_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlog1py_other_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlog1py_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlog1py_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlog1py_self_scalar<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlog1py_self_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlog1py_self_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlog1py_self_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlogy(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlogy(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlogy_other_scalar<S: Into<Scalar>>(
        &self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlogy_other_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlogy_other_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlogy_other_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlogy_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlogy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlogy_self_scalar<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlogy_self_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_xlogy_self_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_xlogy_self_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_zeta(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_zeta(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_zeta_other_scalar<S: Into<Scalar>>(
        &self,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_zeta_other_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_zeta_other_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_zeta_other_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_zeta_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_zeta_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_zeta_self_scalar<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_zeta_self_scalar(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_special_zeta_self_scalar_out<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_special_zeta_self_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_split(&self, split_size: i64, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_split(self.c_tensor, split_size, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_split_copy(&self, split_size: i64, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_split_copy(self.c_tensor, split_size, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_split_copy_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &[T],
        split_size: i64,
        dim: i64,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_split_copy_tensor_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            self.c_tensor,
            split_size,
            dim
        ));
        Ok(())
    }

    pub fn f_split_sizes(
        &self,
        split_size: impl IntList,
        dim: i64,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_split_sizes(
            self.c_tensor,
            split_size.as_ptr(),
            split_size.len_i32(),
            dim
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_split_with_sizes(
        &self,
        split_sizes: impl IntList,
        dim: i64,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_split_with_sizes(
            self.c_tensor,
            split_sizes.as_ptr(),
            split_sizes.len_i32(),
            dim
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_split_with_sizes_copy(
        &self,
        split_sizes: impl IntList,
        dim: i64,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_split_with_sizes_copy(
            self.c_tensor,
            split_sizes.as_ptr(),
            split_sizes.len_i32(),
            dim
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_split_with_sizes_copy_out<T: Borrow<Tensor>>(
        &self,
        out: &[T],
        split_sizes: impl IntList,
        dim: i64,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_split_with_sizes_copy_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            self.c_tensor,
            split_sizes.as_ptr(),
            split_sizes.len_i32(),
            dim
        ));
        Ok(())
    }

    pub fn f_sqrt(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sqrt(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sqrt_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sqrt_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sqrt_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sqrt_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_square(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_square(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_square_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_square_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_square_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_square_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_copy_dim(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_copy_dim(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_copy_dim_out(&self, out: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_copy_dim_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_copy_dims(&self, dim: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_copy_dims(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_copy_dims_out(
        &self,
        out: &Tensor,
        dim: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_copy_dims_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_dim(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_dim(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_dim_(&mut self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_dim_(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_dims(&self, dim: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_dims(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_squeeze_dims_(&mut self, dim: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_squeeze_dims_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sspaddmm(&self, mat1: &Tensor, mat2: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sspaddmm(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sspaddmm_out(
        &self,
        out: &Tensor,
        mat1: &Tensor,
        mat2: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sspaddmm_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            mat1.c_tensor,
            mat2.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_stack<T: Borrow<Tensor>>(tensors: &[T], dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_stack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_stack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
        dim: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_stack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_std(&self, unbiased: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_std(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if unbiased { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_std_correction<S: Into<Scalar>>(
        &self,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_std_correction(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_std_correction_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_std_correction_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_std_dim(
        &self,
        dim: impl IntListOption,
        unbiased: bool,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_std_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if unbiased { 1 } else { 0 },
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_std_mean(&self, unbiased: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_std_mean(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if unbiased { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_std_mean_correction<S: Into<Scalar>>(
        &self,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_std_mean_correction(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_std_mean_correction_out<S: Into<Scalar>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_std_mean_correction_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_std_mean_dim(
        &self,
        dim: impl IntListOption,
        unbiased: bool,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_std_mean_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if unbiased { 1 } else { 0 },
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_std_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        unbiased: bool,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_std_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if unbiased { 1 } else { 0 },
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_stft<T: Borrow<Tensor>>(
        &self,
        n_fft: i64,
        hop_length: impl Into<Option<i64>>,
        win_length: impl Into<Option<i64>>,
        window: Option<T>,
        normalized: bool,
        onesided: bool,
        return_complex: bool,
    ) -> Result<Tensor, TchError> {
        let hop_length = hop_length.into();
        let win_length = win_length.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_stft(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n_fft,
            hop_length.unwrap_or(0i64),
            hop_length.is_none() as i8,
            win_length.unwrap_or(0i64),
            win_length.is_none() as i8,
            window.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if normalized { 1 } else { 0 },
            if onesided { 1 } else { 0 },
            if return_complex { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_stft_center<T: Borrow<Tensor>>(
        &self,
        n_fft: i64,
        hop_length: impl Into<Option<i64>>,
        win_length: impl Into<Option<i64>>,
        window: Option<T>,
        center: bool,
        pad_mode: &str,
        normalized: bool,
        onesided: bool,
        return_complex: bool,
    ) -> Result<Tensor, TchError> {
        let hop_length = hop_length.into();
        let win_length = win_length.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_stft_center(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            n_fft,
            hop_length.unwrap_or(0i64),
            hop_length.is_none() as i8,
            win_length.unwrap_or(0i64),
            win_length.is_none() as i8,
            window.as_ref().map_or(std::ptr::null_mut(), |t| t.borrow().c_tensor),
            if center { 1 } else { 0 },
            pad_mode.as_ptr(),
            pad_mode.len() as i32,
            if normalized { 1 } else { 0 },
            if onesided { 1 } else { 0 },
            if return_complex { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sub(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sub(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sub_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sub_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sub_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sub_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sub_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sub_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sub_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sub_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sub_scalar_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sub_scalar_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_subtract(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_subtract(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_subtract_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_subtract_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_subtract_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_subtract_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_subtract_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_subtract_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_subtract_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_subtract_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sum(&self, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sum(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sum_dim_intlist(
        &self,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sum_dim_intlist(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sum_intlist_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        keepdim: bool,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sum_intlist_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if keepdim { 1 } else { 0 },
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sum_out(
        &self,
        out: &Tensor,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sum_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_sum_to_size(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_sum_to_size(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_svd(
        &self,
        some: bool,
        compute_uv: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_svd(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if some { 1 } else { 0 },
            if compute_uv { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_svd_u(
        &self,
        u: &Tensor,
        s: &Tensor,
        v: &Tensor,
        some: bool,
        compute_uv: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_svd_u(
            c_tensors.as_mut_ptr(),
            u.c_tensor,
            s.c_tensor,
            v.c_tensor,
            self.c_tensor,
            if some { 1 } else { 0 },
            if compute_uv { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_swapaxes(&self, axis0: i64, axis1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_swapaxes(c_tensors.as_mut_ptr(), self.c_tensor, axis0, axis1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_swapaxes_(&mut self, axis0: i64, axis1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_swapaxes_(c_tensors.as_mut_ptr(), self.c_tensor, axis0, axis1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_swapdims(&self, dim0: i64, dim1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_swapdims(c_tensors.as_mut_ptr(), self.c_tensor, dim0, dim1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_swapdims_(&mut self, dim0: i64, dim1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_swapdims_(c_tensors.as_mut_ptr(), self.c_tensor, dim0, dim1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tr(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_t(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_t_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_t_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_t_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_t_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_t_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_t_copy_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_take(&self, index: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_take(c_tensors.as_mut_ptr(), self.c_tensor, index.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_take_along_dim(
        &self,
        indices: &Tensor,
        dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_take_along_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            indices.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_take_along_dim_out(
        &self,
        out: &Tensor,
        indices: &Tensor,
        dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_take_along_dim_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            indices.c_tensor,
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_take_out(&self, out: &Tensor, index: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_take_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            index.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tan(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tan(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tan_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tan_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tan_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tan_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tanh(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tanh(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tanh_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tanh_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tanh_backward(grad_output: &Tensor, output: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tanh_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tanh_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tanh_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tanh_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tanh_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tensor_split(&self, sections: i64, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_tensor_split(self.c_tensor, sections, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_tensor_split_indices(
        &self,
        indices: impl IntList,
        dim: i64,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_tensor_split_indices(
            self.c_tensor,
            indices.as_ptr(),
            indices.len_i32(),
            dim
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_tensor_split_tensor_indices_or_sections(
        &self,
        tensor_indices_or_sections: &Tensor,
        dim: i64,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_tensor_split_tensor_indices_or_sections(
            self.c_tensor,
            tensor_indices_or_sections.c_tensor,
            dim
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_tensordot(
        &self,
        other: &Tensor,
        dims_self: impl IntList,
        dims_other: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tensordot(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            dims_self.as_ptr(),
            dims_self.len_i32(),
            dims_other.as_ptr(),
            dims_other.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tensordot_out(
        &self,
        out: &Tensor,
        other: &Tensor,
        dims_self: impl IntList,
        dims_other: impl IntList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tensordot_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor,
            dims_self.as_ptr(),
            dims_self.len_i32(),
            dims_other.as_ptr(),
            dims_other.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_threshold<S: Into<Scalar>>(&self, threshold: S, value: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_threshold(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            threshold.into().c_scalar,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_threshold_<S: Into<Scalar>>(
        &mut self,
        threshold: S,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_threshold_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            threshold.into().c_scalar,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_threshold_backward<S: Into<Scalar>>(
        &self,
        grad_output: &Tensor,
        threshold: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_threshold_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            self.c_tensor,
            threshold.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_threshold_backward_grad_input<S: Into<Scalar>>(
        &self,
        grad_input: &Tensor,
        grad_output: &Tensor,
        threshold: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_threshold_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            self.c_tensor,
            threshold.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_threshold_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        threshold: S,
        value: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_threshold_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            threshold.into().c_scalar,
            value.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tile(&self, dims: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tile(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dims.as_ptr(),
            dims.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to(&self, device: Device) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to(c_tensors.as_mut_ptr(), self.c_tensor, device.c_int()));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_dense(
        &self,
        dtype: impl Into<Option<Kind>>,
        masked_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_dense(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int()),
            if masked_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_dense_backward(
        &self,
        grad: &Tensor,
        masked_grad: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_dense_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor,
            if masked_grad { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_device_(
        &self,
        device: Device,
        dtype: Kind,
        non_blocking: bool,
        copy: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_device(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            device.c_int(),
            dtype.c_int(),
            if non_blocking { 1 } else { 0 },
            if copy { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_dtype(
        &self,
        dtype: Kind,
        non_blocking: bool,
        copy: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.c_int(),
            if non_blocking { 1 } else { 0 },
            if copy { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_dtype_layout(
        &self,
        options: (Kind, Device),
        non_blocking: bool,
        copy: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_dtype_layout(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            options.0.c_int(),
            options.1.c_int(),
            if non_blocking { 1 } else { 0 },
            if copy { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_mkldnn(&self, dtype: impl Into<Option<Kind>>) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_mkldnn(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_mkldnn_backward(&self, grad: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_mkldnn_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_mkldnn_out(
        &self,
        out: &Tensor,
        dtype: impl Into<Option<Kind>>,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_mkldnn_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.into().map_or(-1, |s| s.c_int())
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_other(
        &self,
        other: &Tensor,
        non_blocking: bool,
        copy: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_other(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.c_tensor,
            if non_blocking { 1 } else { 0 },
            if copy { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_padded_tensor(
        &self,
        padding: f64,
        output_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_padded_tensor(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            padding,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_padded_tensor_out(
        &self,
        out: &Tensor,
        padding: f64,
        output_size: impl IntListOption,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_padded_tensor_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            padding,
            output_size.as_ptr(),
            output_size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_sparse(
        &self,
        layout: Option<Layout>,
        blocksize: impl IntListOption,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_sparse(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            layout.map_or(-1, |s| s.to_i8()),
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_sparse_bsc(
        &self,
        blocksize: impl IntList,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_sparse_bsc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_sparse_bsr(
        &self,
        blocksize: impl IntList,
        dense_dim: impl Into<Option<i64>>,
    ) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_sparse_bsr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            blocksize.as_ptr(),
            blocksize.len_i32(),
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_sparse_csc(&self, dense_dim: impl Into<Option<i64>>) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_sparse_csc(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_sparse_csr(&self, dense_dim: impl Into<Option<i64>>) -> Result<Tensor, TchError> {
        let dense_dim = dense_dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_sparse_csr(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dense_dim.unwrap_or(0i64),
            dense_dim.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_to_sparse_sparse_dim(&self, sparse_dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_to_sparse_sparse_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            sparse_dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_topk(
        &self,
        k: i64,
        dim: i64,
        largest: bool,
        sorted: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_topk(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            k,
            dim,
            if largest { 1 } else { 0 },
            if sorted { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_topk_values(
        &self,
        values: &Tensor,
        indices: &Tensor,
        k: i64,
        dim: i64,
        largest: bool,
        sorted: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_topk_values(
            c_tensors.as_mut_ptr(),
            values.c_tensor,
            indices.c_tensor,
            self.c_tensor,
            k,
            dim,
            if largest { 1 } else { 0 },
            if sorted { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_totype(&self, scalar_type: Kind) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_totype(c_tensors.as_mut_ptr(), self.c_tensor, scalar_type.c_int()));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trace(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trace(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trace_backward(grad: &Tensor, sizes: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trace_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            sizes.as_ptr(),
            sizes.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trace_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trace_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_transpose(&self, dim0: i64, dim1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_transpose(c_tensors.as_mut_ptr(), self.c_tensor, dim0, dim1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_transpose_(&mut self, dim0: i64, dim1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_transpose_(c_tensors.as_mut_ptr(), self.c_tensor, dim0, dim1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_transpose_copy(&self, dim0: i64, dim1: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_transpose_copy(c_tensors.as_mut_ptr(), self.c_tensor, dim0, dim1));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_transpose_copy_int_out(
        &self,
        out: &Tensor,
        dim0: i64,
        dim1: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_transpose_copy_int_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim0,
            dim1
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trapezoid(y: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trapezoid(c_tensors.as_mut_ptr(), y.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trapezoid_x(y: &Tensor, x: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trapezoid_x(c_tensors.as_mut_ptr(), y.c_tensor, x.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trapz(y: &Tensor, x: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trapz(c_tensors.as_mut_ptr(), y.c_tensor, x.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trapz_dx(y: &Tensor, dx: f64, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trapz_dx(c_tensors.as_mut_ptr(), y.c_tensor, dx, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triangular_solve(
        &self,
        a: &Tensor,
        upper: bool,
        transpose: bool,
        unitriangular: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_triangular_solve(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            a.c_tensor,
            if upper { 1 } else { 0 },
            if transpose { 1 } else { 0 },
            if unitriangular { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_triangular_solve_x(
        &self,
        x: &Tensor,
        m: &Tensor,
        a: &Tensor,
        upper: bool,
        transpose: bool,
        unitriangular: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_triangular_solve_x(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            m.c_tensor,
            self.c_tensor,
            a.c_tensor,
            if upper { 1 } else { 0 },
            if transpose { 1 } else { 0 },
            if unitriangular { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_tril(&self, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tril(c_tensors.as_mut_ptr(), self.c_tensor, diagonal));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tril_(&mut self, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tril_(c_tensors.as_mut_ptr(), self.c_tensor, diagonal));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tril_indices(
        row: i64,
        col: i64,
        offset: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tril_indices(
            c_tensors.as_mut_ptr(),
            row,
            col,
            offset,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tril_indices_out(
        out: &Tensor,
        row: i64,
        col: i64,
        offset: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tril_indices_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            row,
            col,
            offset
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_tril_out(&self, out: &Tensor, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_tril_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            diagonal
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triplet_margin_loss(
        anchor: &Tensor,
        positive: &Tensor,
        negative: &Tensor,
        margin: f64,
        p: f64,
        eps: f64,
        swap: bool,
        reduction: crate::Reduction,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_triplet_margin_loss(
            c_tensors.as_mut_ptr(),
            anchor.c_tensor,
            positive.c_tensor,
            negative.c_tensor,
            margin,
            p,
            eps,
            if swap { 1 } else { 0 },
            reduction.to_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triu(&self, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_triu(c_tensors.as_mut_ptr(), self.c_tensor, diagonal));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triu_(&mut self, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_triu_(c_tensors.as_mut_ptr(), self.c_tensor, diagonal));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triu_indices(
        row: i64,
        col: i64,
        offset: i64,
        options: (Kind, Device),
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_triu_indices(
            c_tensors.as_mut_ptr(),
            row,
            col,
            offset,
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triu_indices_out(
        out: &Tensor,
        row: i64,
        col: i64,
        offset: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_triu_indices_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            row,
            col,
            offset
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_triu_out(&self, out: &Tensor, diagonal: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_triu_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            diagonal
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_true_divide(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_true_divide(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_true_divide_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_true_divide_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_true_divide_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_true_divide_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_true_divide_scalar<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_true_divide_scalar(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_true_divide_scalar_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_true_divide_scalar_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trunc(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trunc(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trunc_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trunc_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_trunc_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_trunc_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_type_as(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_type_as(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unbind(&self, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_unbind(self.c_tensor, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_unbind_copy(&self, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_unbind_copy(self.c_tensor, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_unbind_copy_int_out<T: Borrow<Tensor>>(
        &self,
        out: &[T],
        dim: i64,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_unbind_copy_int_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            self.c_tensor,
            dim
        ));
        Ok(())
    }

    pub fn f_unflatten(&self, dim: i64, sizes: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unflatten(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            sizes.as_ptr(),
            sizes.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unflatten_dense_tensors<T: Borrow<Tensor>>(
        flat: &Tensor,
        tensors: &[T],
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_unflatten_dense_tensors(
            flat.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_unfold(&self, dimension: i64, size: i64, step: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unfold(c_tensors.as_mut_ptr(), self.c_tensor, dimension, size, step));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unfold_backward(
        grad_in: &Tensor,
        input_sizes: impl IntList,
        dim: i64,
        size: i64,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unfold_backward(
            c_tensors.as_mut_ptr(),
            grad_in.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            dim,
            size,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unfold_backward_out(
        out: &Tensor,
        grad_in: &Tensor,
        input_sizes: impl IntList,
        dim: i64,
        size: i64,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unfold_backward_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            grad_in.c_tensor,
            input_sizes.as_ptr(),
            input_sizes.len_i32(),
            dim,
            size,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unfold_copy(&self, dimension: i64, size: i64, step: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unfold_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dimension,
            size,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unfold_copy_out(
        &self,
        out: &Tensor,
        dimension: i64,
        size: i64,
        step: i64,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unfold_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dimension,
            size,
            step
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_uniform(&self, from: f64, to: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_uniform(c_tensors.as_mut_ptr(), self.c_tensor, from, to));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_uniform_(&mut self, from: f64, to: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_uniform_(c_tensors.as_mut_ptr(), self.c_tensor, from, to));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_uniform_out(&self, out: &Tensor, from: f64, to: f64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_uniform_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            from,
            to
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unique_consecutive(
        &self,
        return_inverse: bool,
        return_counts: bool,
        dim: impl Into<Option<i64>>,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_unique_consecutive(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 },
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_unique_consecutive_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        return_inverse: bool,
        return_counts: bool,
        dim: impl Into<Option<i64>>,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let dim = dim.into();
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_unique_consecutive_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 },
            dim.unwrap_or(0i64),
            dim.is_none() as i8
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_unique_dim(
        &self,
        dim: i64,
        sorted: bool,
        return_inverse: bool,
        return_counts: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_unique_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if sorted { 1 } else { 0 },
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_unique_dim_consecutive(
        &self,
        dim: i64,
        return_inverse: bool,
        return_counts: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_unique_dim_consecutive(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim,
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_unique_dim_consecutive_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        dim: i64,
        return_inverse: bool,
        return_counts: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_unique_dim_consecutive_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            dim,
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_unique_dim_out(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        out2: &Tensor,
        dim: i64,
        sorted: bool,
        return_inverse: bool,
        return_counts: bool,
    ) -> Result<(Tensor, Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 3];
        unsafe_torch_err!(atg_unique_dim_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            out2.c_tensor,
            self.c_tensor,
            dim,
            if sorted { 1 } else { 0 },
            if return_inverse { 1 } else { 0 },
            if return_counts { 1 } else { 0 }
        ));
        Ok((
            Tensor { c_tensor: c_tensors[0] },
            Tensor { c_tensor: c_tensors[1] },
            Tensor { c_tensor: c_tensors[2] },
        ))
    }

    pub fn f_unsafe_chunk(&self, chunks: i64, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_unsafe_chunk(self.c_tensor, chunks, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_unsafe_split(&self, split_size: i64, dim: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_unsafe_split(self.c_tensor, split_size, dim));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_unsafe_split_tensor_out<T: Borrow<Tensor>>(
        &self,
        out: &[T],
        split_size: i64,
        dim: i64,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_unsafe_split_tensor_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            self.c_tensor,
            split_size,
            dim
        ));
        Ok(())
    }

    pub fn f_unsafe_split_with_sizes(
        &self,
        split_sizes: impl IntList,
        dim: i64,
    ) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_unsafe_split_with_sizes(
            self.c_tensor,
            split_sizes.as_ptr(),
            split_sizes.len_i32(),
            dim
        ));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_unsafe_split_with_sizes_out<T: Borrow<Tensor>>(
        &self,
        out: &[T],
        split_sizes: impl IntList,
        dim: i64,
    ) -> Result<(), TchError> {
        unsafe_torch_err!(atg_unsafe_split_with_sizes_out(
            ptr_list(out).as_ptr(),
            out.len() as i32,
            self.c_tensor,
            split_sizes.as_ptr(),
            split_sizes.len_i32(),
            dim
        ));
        Ok(())
    }

    pub fn f_unsqueeze(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unsqueeze(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unsqueeze_(&mut self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unsqueeze_(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unsqueeze_copy(&self, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unsqueeze_copy(c_tensors.as_mut_ptr(), self.c_tensor, dim));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_unsqueeze_copy_out(&self, out: &Tensor, dim: i64) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_unsqueeze_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bicubic2d(
        &self,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bicubic2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bicubic2d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bicubic2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bicubic2d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bicubic2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bicubic2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bicubic2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bicubic2d_vec(
        &self,
        output_size: impl IntListOption,
        align_corners: bool,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bicubic2d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bilinear2d(
        &self,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bilinear2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bilinear2d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bilinear2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bilinear2d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bilinear2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bilinear2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        align_corners: bool,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bilinear2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_bilinear2d_vec(
        &self,
        output_size: impl IntListOption,
        align_corners: bool,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_bilinear2d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_linear1d(
        &self,
        output_size: impl IntList,
        align_corners: bool,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_linear1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_linear1d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_linear1d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_linear1d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_linear1d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_linear1d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        align_corners: bool,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_linear1d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_linear1d_vec(
        &self,
        output_size: impl IntListOption,
        align_corners: bool,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_linear1d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest1d(
        &self,
        output_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest1d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest1d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest1d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest1d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest1d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest1d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        scales: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales = scales.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest1d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales.unwrap_or(std::f64::NAN),
            scales.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest1d_vec(
        &self,
        output_size: impl IntListOption,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest1d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest2d(
        &self,
        output_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest2d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest2d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest2d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest2d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest2d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest2d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest2d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest2d_vec(
        &self,
        output_size: impl IntListOption,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest2d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest3d(
        &self,
        output_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest3d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest3d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest3d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_nearest3d_vec(
        &self,
        output_size: impl IntListOption,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_nearest3d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_trilinear3d(
        &self,
        output_size: impl IntList,
        align_corners: bool,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_trilinear3d(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_trilinear3d_backward(
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_trilinear3d_backward(
            c_tensors.as_mut_ptr(),
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_trilinear3d_backward_grad_input(
        grad_input: &Tensor,
        grad_output: &Tensor,
        output_size: impl IntList,
        input_size: impl IntList,
        align_corners: bool,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_trilinear3d_backward_grad_input(
            c_tensors.as_mut_ptr(),
            grad_input.c_tensor,
            grad_output.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            input_size.as_ptr(),
            input_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_trilinear3d_out(
        &self,
        out: &Tensor,
        output_size: impl IntList,
        align_corners: bool,
        scales_d: impl Into<Option<f64>>,
        scales_h: impl Into<Option<f64>>,
        scales_w: impl Into<Option<f64>>,
    ) -> Result<Tensor, TchError> {
        let scales_d = scales_d.into();
        let scales_h = scales_h.into();
        let scales_w = scales_w.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_trilinear3d_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scales_d.unwrap_or(std::f64::NAN),
            scales_d.is_none() as i8,
            scales_h.unwrap_or(std::f64::NAN),
            scales_h.is_none() as i8,
            scales_w.unwrap_or(std::f64::NAN),
            scales_w.is_none() as i8
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_upsample_trilinear3d_vec(
        &self,
        output_size: impl IntListOption,
        align_corners: bool,
        scale_factors: impl DoubleList,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_upsample_trilinear3d_vec(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            output_size.as_ptr(),
            output_size.len_i32(),
            if align_corners { 1 } else { 0 },
            scale_factors.as_ptr(),
            scale_factors.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_value_selecting_reduction_backward(
        grad: &Tensor,
        dim: i64,
        indices: &Tensor,
        sizes: impl IntList,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_value_selecting_reduction_backward(
            c_tensors.as_mut_ptr(),
            grad.c_tensor,
            dim,
            indices.c_tensor,
            sizes.as_ptr(),
            sizes.len_i32(),
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_values(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_values(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_values_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_values_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_values_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_values_copy_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_vander(
        x: &Tensor,
        n: impl Into<Option<i64>>,
        increasing: bool,
    ) -> Result<Tensor, TchError> {
        let n = n.into();
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_vander(
            c_tensors.as_mut_ptr(),
            x.c_tensor,
            n.unwrap_or(0i64),
            n.is_none() as i8,
            if increasing { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_var(&self, unbiased: bool) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_var(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if unbiased { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_var_correction<S: Into<Scalar>>(
        &self,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_var_correction(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_var_correction_out<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_var_correction_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_var_dim(
        &self,
        dim: impl IntListOption,
        unbiased: bool,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_var_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if unbiased { 1 } else { 0 },
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_var_mean(&self, unbiased: bool) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_var_mean(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            if unbiased { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_var_mean_correction<S: Into<Scalar>>(
        &self,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_var_mean_correction(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_var_mean_correction_out<S: Into<Scalar>>(
        &self,
        out0: &Tensor,
        out1: &Tensor,
        dim: impl IntListOption,
        correction: S,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_var_mean_correction_out(
            c_tensors.as_mut_ptr(),
            out0.c_tensor,
            out1.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            correction.into().c_scalar,
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_var_mean_dim(
        &self,
        dim: impl IntListOption,
        unbiased: bool,
        keepdim: bool,
    ) -> Result<(Tensor, Tensor), TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 2];
        unsafe_torch_err!(atg_var_mean_dim(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if unbiased { 1 } else { 0 },
            if keepdim { 1 } else { 0 }
        ));
        Ok((Tensor { c_tensor: c_tensors[0] }, Tensor { c_tensor: c_tensors[1] }))
    }

    pub fn f_var_out(
        &self,
        out: &Tensor,
        dim: impl IntListOption,
        unbiased: bool,
        keepdim: bool,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_var_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dim.as_ptr(),
            dim.len_i32(),
            if unbiased { 1 } else { 0 },
            if keepdim { 1 } else { 0 }
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_vdot(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_vdot(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_vdot_out(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_vdot_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as_complex(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as_complex(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as_complex_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as_complex_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as_complex_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as_complex_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as_real(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as_real(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as_real_copy(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as_real_copy(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_as_real_copy_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_as_real_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_copy(&self, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_copy(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_copy_dtype(&self, dtype: Kind) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_copy_dtype(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_copy_dtype_out(&self, out: &Tensor, dtype: Kind) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_copy_dtype_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            dtype.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_copy_out(&self, out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_copy_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_view_dtype(&self, dtype: Kind) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_view_dtype(c_tensors.as_mut_ptr(), self.c_tensor, dtype.c_int()));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_vsplit(&self, sections: i64) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_vsplit(self.c_tensor, sections));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_vsplit_array(&self, indices: impl IntList) -> Result<Vec<Tensor>, TchError> {
        let c_tensors =
            unsafe_torch_err!(atg_vsplit_array(self.c_tensor, indices.as_ptr(), indices.len_i32()));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_vstack<T: Borrow<Tensor>>(tensors: &[T]) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_vstack(
            c_tensors.as_mut_ptr(),
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_vstack_out<T: Borrow<Tensor>>(
        out: &Tensor,
        tensors: &[T],
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_vstack_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            ptr_list(tensors).as_ptr(),
            tensors.len() as i32
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_where_(condition: &Tensor) -> Result<Vec<Tensor>, TchError> {
        let c_tensors = unsafe_torch_err!(atg_where(condition.c_tensor));
        let mut r__ = vec![];
        let mut i = 0;
        loop {
            let c__ = unsafe { *c_tensors.add(i) };
            if c__.is_null() {
                break;
            }
            r__.push(Tensor { c_tensor: c__ });
            i += 1;
        }
        unsafe { libc::free(c_tensors as *mut libc::c_void) }
        Ok(r__)
    }

    pub fn f_where_scalar<S: Into<Scalar>>(
        condition: &Tensor,
        self_scalar: S,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_where_scalar(
            c_tensors.as_mut_ptr(),
            condition.c_tensor,
            self_scalar.into().c_scalar,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_where_scalarother<S: Into<Scalar>>(
        &self,
        condition: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_where_scalarother(
            c_tensors.as_mut_ptr(),
            condition.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_where_scalarself<S: Into<Scalar>>(
        condition: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_where_scalarself(
            c_tensors.as_mut_ptr(),
            condition.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_where_self(&self, condition: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_where_self(
            c_tensors.as_mut_ptr(),
            condition.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_where_self_out(
        &self,
        out: &Tensor,
        condition: &Tensor,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_where_self_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            condition.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy(&self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_(&mut self, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_(c_tensors.as_mut_ptr(), self.c_tensor, other.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_outscalar_other<S: Into<Scalar>>(
        &self,
        out: &Tensor,
        other: S,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_outscalar_other(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_outscalar_self<S: Into<Scalar>>(
        out: &Tensor,
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_outscalar_self(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_outtensor(&self, out: &Tensor, other: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_outtensor(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            self.c_tensor,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_scalar_other<S: Into<Scalar>>(&self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_scalar_other(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_scalar_other_<S: Into<Scalar>>(&mut self, other: S) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_scalar_other_(
            c_tensors.as_mut_ptr(),
            self.c_tensor,
            other.into().c_scalar
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_xlogy_scalar_self<S: Into<Scalar>>(
        self_scalar: S,
        other: &Tensor,
    ) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_xlogy_scalar_self(
            c_tensors.as_mut_ptr(),
            self_scalar.into().c_scalar,
            other.c_tensor
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zero(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zero(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zero_(&mut self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zero_(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zero_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zero_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zeros(size: impl IntList, options: (Kind, Device)) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zeros(
            c_tensors.as_mut_ptr(),
            size.as_ptr(),
            size.len_i32(),
            options.0.c_int(),
            options.1.c_int()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zeros_like(&self) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zeros_like(c_tensors.as_mut_ptr(), self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zeros_like_out(&self, out: &Tensor) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zeros_like_out(c_tensors.as_mut_ptr(), out.c_tensor, self.c_tensor));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }

    pub fn f_zeros_out(out: &Tensor, size: impl IntList) -> Result<Tensor, TchError> {
        let mut c_tensors = [std::ptr::null_mut(); 1];
        unsafe_torch_err!(atg_zeros_out(
            c_tensors.as_mut_ptr(),
            out.c_tensor,
            size.as_ptr(),
            size.len_i32()
        ));
        Ok(Tensor { c_tensor: c_tensors[0] })
    }
}