burn-autodiff 0.21.0

Automatic differentiation backend for the Burn framework
Documentation 
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use crate::{Autodiff, checkpoint::strategy::CheckpointStrategy, tensor::AutodiffTensor};
use alloc::vec::Vec;

use burn_backend::{
    Backend, ExecutionError, Scalar, TensorData,
    ops::BoolTensorOps,
    tensor::{BoolTensor, Device, FloatTensor, IntTensor},
};
use burn_std::{BoolDType, FloatDType, IntDType, Shape};

impl<B: Backend, C: CheckpointStrategy> BoolTensorOps<Self> for Autodiff<B, C> {
    fn bool_from_data(data: TensorData, device: &Device<B>) -> BoolTensor<B> {
        B::bool_from_data(data, device)
    }

    async fn bool_into_data(tensor: BoolTensor<B>) -> Result<TensorData, ExecutionError> {
        B::bool_into_data(tensor).await
    }

    fn bool_into_int(tensor: BoolTensor<B>, out_dtype: IntDType) -> IntTensor<B> {
        B::bool_into_int(tensor, out_dtype)
    }

    fn bool_to_device(tensor: BoolTensor<B>, device: &Device<B>) -> BoolTensor<B> {
        B::bool_to_device(tensor, device)
    }

    fn bool_device(tensor: &BoolTensor<B>) -> Device<B> {
        B::bool_device(tensor)
    }

    fn bool_reshape(tensor: BoolTensor<B>, shape: Shape) -> BoolTensor<B> {
        B::bool_reshape(tensor, shape)
    }

    fn bool_slice(tensor: BoolTensor<B>, slices: &[burn_std::Slice]) -> BoolTensor<B> {
        B::bool_slice(tensor, slices)
    }

    fn bool_empty(shape: Shape, device: &Device<B>, dtype: BoolDType) -> BoolTensor<B> {
        B::bool_empty(shape, device, dtype)
    }

    fn bool_zeros(shape: Shape, device: &Device<B>, dtype: BoolDType) -> BoolTensor<B> {
        B::bool_zeros(shape, device, dtype)
    }

    fn bool_ones(shape: Shape, device: &Device<B>, dtype: BoolDType) -> BoolTensor<B> {
        B::bool_ones(shape, device, dtype)
    }

    fn bool_slice_assign(
        tensor: BoolTensor<Self>,
        slices: &[burn_std::Slice],
        value: BoolTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_slice_assign(tensor, slices, value)
    }

    fn bool_cat(tensors: Vec<BoolTensor<B>>, dim: usize) -> BoolTensor<B> {
        B::bool_cat(tensors, dim)
    }

    fn bool_equal(lhs: BoolTensor<B>, rhs: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_equal(lhs, rhs)
    }

    fn bool_not(tensor: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_not(tensor)
    }

    fn bool_and(lhs: BoolTensor<B>, rhs: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_and(lhs, rhs)
    }

    fn bool_or(lhs: BoolTensor<B>, rhs: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_or(lhs, rhs)
    }

    fn bool_xor(lhs: BoolTensor<B>, rhs: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_xor(lhs, rhs)
    }

    fn bool_into_float(tensor: BoolTensor<B>, out_dtype: FloatDType) -> FloatTensor<Self> {
        AutodiffTensor::new(B::bool_into_float(tensor, out_dtype))
    }

    fn bool_swap_dims(tensor: BoolTensor<B>, dim1: usize, dim2: usize) -> BoolTensor<B> {
        B::bool_swap_dims(tensor, dim1, dim2)
    }

    fn bool_permute(tensor: BoolTensor<Self>, axes: &[usize]) -> BoolTensor<Self> {
        B::bool_permute(tensor, axes)
    }

    fn bool_flip(tensor: BoolTensor<B>, axes: &[usize]) -> BoolTensor<B> {
        B::bool_flip(tensor, axes)
    }

    async fn bool_argwhere(tensor: BoolTensor<B>, out_dtype: burn_std::IntDType) -> IntTensor<B> {
        B::bool_argwhere(tensor, out_dtype).await
    }

    fn bool_expand(tensor: BoolTensor<B>, shape: Shape) -> BoolTensor<B> {
        B::bool_expand(tensor, shape)
    }

    fn bool_repeat_dim(tensor: BoolTensor<B>, dim: usize, times: usize) -> BoolTensor<B> {
        B::bool_repeat_dim(tensor, dim, times)
    }

    fn bool_unfold(
        tensor: BoolTensor<Self>,
        dim: usize,
        size: usize,
        step: usize,
    ) -> BoolTensor<Self> {
        B::bool_unfold(tensor, dim, size, step)
    }

    fn bool_mask_where(
        tensor: BoolTensor<Self>,
        mask: BoolTensor<Self>,
        source: BoolTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_mask_where(tensor, mask, source)
    }

    fn bool_mask_fill(
        tensor: BoolTensor<Self>,
        mask: BoolTensor<Self>,
        value: Scalar,
    ) -> BoolTensor<Self> {
        B::bool_mask_fill(tensor, mask, value)
    }

    fn bool_gather(
        dim: usize,
        tensor: BoolTensor<Self>,
        indices: IntTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_gather(dim, tensor, indices)
    }

    fn bool_scatter_or(
        dim: usize,
        tensor: BoolTensor<Self>,
        indices: IntTensor<Self>,
        value: BoolTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_scatter_or(dim, tensor, indices, value)
    }

    fn bool_equal_elem(lhs: BoolTensor<Self>, rhs: Scalar) -> BoolTensor<Self> {
        B::bool_equal_elem(lhs, rhs)
    }

    fn bool_select(
        tensor: BoolTensor<Self>,
        dim: usize,
        indices: IntTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_select(tensor, dim, indices)
    }

    fn bool_select_or(
        tensor: BoolTensor<Self>,
        dim: usize,
        indices: IntTensor<Self>,
        value: BoolTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_select_or(tensor, dim, indices, value)
    }
}