/* THIS FILE IS AUTOMATICALLY GENERATED, DO NOT EDIT BY HAND! */
#[allow(clippy::all)]
use crate::{C_scalar, C_tensor};
use libc::c_int;

extern "C" {
    pub fn atg_abs(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_abs_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_abs_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_acos(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_acos_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_acos_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_adaptive_avg_pool1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_avg_pool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_avg_pool2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_avg_pool3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_avg_pool3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_adaptive_avg_pool3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_adaptive_avg_pool3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_max_pool1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_max_pool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_max_pool2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor);
    pub fn atg_adaptive_max_pool2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor);
    pub fn atg_adaptive_max_pool2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_max_pool3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_adaptive_max_pool3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor);
    pub fn atg_adaptive_max_pool3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor);
    pub fn atg_adaptive_max_pool3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_add(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_add1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_add_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_add_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_add_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_addbmm(out__: *mut *mut C_tensor, self_: *mut C_tensor, batch1_: *mut C_tensor, batch2_: *mut C_tensor);
    pub fn atg_addbmm_(out__: *mut *mut C_tensor, self_: *mut C_tensor, batch1_: *mut C_tensor, batch2_: *mut C_tensor);
    pub fn atg_addbmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, batch1_: *mut C_tensor, batch2_: *mut C_tensor);
    pub fn atg_addcdiv(out__: *mut *mut C_tensor, self_: *mut C_tensor, tensor1_: *mut C_tensor, tensor2_: *mut C_tensor);
    pub fn atg_addcdiv_(out__: *mut *mut C_tensor, self_: *mut C_tensor, tensor1_: *mut C_tensor, tensor2_: *mut C_tensor);
    pub fn atg_addcdiv_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, tensor1_: *mut C_tensor, tensor2_: *mut C_tensor);
    pub fn atg_addcmul(out__: *mut *mut C_tensor, self_: *mut C_tensor, tensor1_: *mut C_tensor, tensor2_: *mut C_tensor);
    pub fn atg_addcmul_(out__: *mut *mut C_tensor, self_: *mut C_tensor, tensor1_: *mut C_tensor, tensor2_: *mut C_tensor);
    pub fn atg_addcmul_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, tensor1_: *mut C_tensor, tensor2_: *mut C_tensor);
    pub fn atg_addmm(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_addmm_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_addmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_addmv(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat_: *mut C_tensor, vec_: *mut C_tensor);
    pub fn atg_addmv_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat_: *mut C_tensor, vec_: *mut C_tensor);
    pub fn atg_addmv_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mat_: *mut C_tensor, vec_: *mut C_tensor);
    pub fn atg_addr(out__: *mut *mut C_tensor, self_: *mut C_tensor, vec1_: *mut C_tensor, vec2_: *mut C_tensor);
    pub fn atg_addr_(out__: *mut *mut C_tensor, self_: *mut C_tensor, vec1_: *mut C_tensor, vec2_: *mut C_tensor);
    pub fn atg_addr_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, vec1_: *mut C_tensor, vec2_: *mut C_tensor);
    pub fn atg_affine_grid_generator(out__: *mut *mut C_tensor, theta_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_affine_grid_generator_backward(out__: *mut *mut C_tensor, grad_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_alias(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_all(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_all1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_all_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_alpha_dropout(out__: *mut *mut C_tensor, input_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_alpha_dropout_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_any(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_any1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_any_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_arange(out__: *mut *mut C_tensor, end_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_arange1(out__: *mut *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_arange2(out__: *mut *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, step_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_arange_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, end_: *mut C_scalar);
    pub fn atg_arange_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar);
    pub fn atg_argmax(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_argmin(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_argsort(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, descending_: c_int);
    pub fn atg_as_strided(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int, stride_data: *const i64, stride_len: c_int, storage_offset_: i64);
    pub fn atg_as_strided_(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int, stride_data: *const i64, stride_len: c_int, storage_offset_: i64);
    pub fn atg_asin(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_asin_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_asin_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_atan(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_atan2(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_atan2_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_atan2_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_atan_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_atan_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_avg_pool1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_avg_pool3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, ceil_mode_: c_int, count_include_pad_: c_int);
    pub fn atg_baddbmm(out__: *mut *mut C_tensor, self_: *mut C_tensor, batch1_: *mut C_tensor, batch2_: *mut C_tensor);
    pub fn atg_baddbmm_(out__: *mut *mut C_tensor, self_: *mut C_tensor, batch1_: *mut C_tensor, batch2_: *mut C_tensor);
    pub fn atg_baddbmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, batch1_: *mut C_tensor, batch2_: *mut C_tensor);
    pub fn atg_bartlett_window(out__: *mut *mut C_tensor, window_length_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_bartlett_window1(out__: *mut *mut C_tensor, window_length_: i64, periodic_: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_batch_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, training_: c_int, momentum_: f64, eps_: f64, cudnn_enabled_: c_int);
    pub fn atg_batch_norm_backward_elemt(out__: *mut *mut C_tensor, grad_out_: *mut C_tensor, input_: *mut C_tensor, mean_: *mut C_tensor, invstd_: *mut C_tensor, weight_: *mut C_tensor, mean_dy_: *mut C_tensor, mean_dy_xmu_: *mut C_tensor);
    pub fn atg_batch_norm_backward_reduce(out__: *mut *mut C_tensor, grad_out_: *mut C_tensor, input_: *mut C_tensor, mean_: *mut C_tensor, invstd_: *mut C_tensor, input_g_: c_int, weight_g_: c_int, bias_g_: c_int);
    pub fn atg_batch_norm_elemt(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, mean_: *mut C_tensor, invstd_: *mut C_tensor, eps_: f64);
    pub fn atg_batch_norm_gather_stats(out__: *mut *mut C_tensor, input_: *mut C_tensor, mean_: *mut C_tensor, invstd_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, momentum_: f64, eps_: f64, count_: i64);
    pub fn atg_batch_norm_stats(out__: *mut *mut C_tensor, input_: *mut C_tensor, eps_: f64);
    pub fn atg_batch_norm_update_stats(out__: *mut *mut C_tensor, input_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, momentum_: f64);
    pub fn atg_bernoulli(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_bernoulli1(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64);
    pub fn atg_bernoulli_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: *mut C_tensor);
    pub fn atg_bernoulli_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64);
    pub fn atg_bernoulli_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_bilinear(out__: *mut *mut C_tensor, input1_: *mut C_tensor, input2_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor);
    pub fn atg_binary_cross_entropy(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_binary_cross_entropy_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_binary_cross_entropy_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_binary_cross_entropy_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_binary_cross_entropy_with_logits(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, pos_weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_binary_cross_entropy_with_logits_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, pos_weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_bincount(out__: *mut *mut C_tensor, self_: *mut C_tensor, weights_: *mut C_tensor, minlength_: i64);
    pub fn atg_blackman_window(out__: *mut *mut C_tensor, window_length_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_blackman_window1(out__: *mut *mut C_tensor, window_length_: i64, periodic_: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_bmm(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_bmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_broadcast_tensors(tensors_data: *const *mut C_tensor, tensors_len: c_int) -> *mut *mut C_tensor;
    pub fn atg_cartesian_prod(out__: *mut *mut C_tensor, tensors_data: *const *mut C_tensor, tensors_len: c_int);
    pub fn atg_cat(out__: *mut *mut C_tensor, tensors_data: *const *mut C_tensor, tensors_len: c_int, dim_: i64);
    pub fn atg_cat_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, tensors_data: *const *mut C_tensor, tensors_len: c_int, dim_: i64);
    pub fn atg_cauchy_(out__: *mut *mut C_tensor, self_: *mut C_tensor, median_: f64, sigma_: f64);
    pub fn atg_cdist(out__: *mut *mut C_tensor, x1_: *mut C_tensor, x2_: *mut C_tensor, p_: f64);
    pub fn atg_ceil(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_ceil_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_ceil_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_celu(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_celu_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_chain_matmul(out__: *mut *mut C_tensor, matrices_data: *const *mut C_tensor, matrices_len: c_int);
    pub fn atg_cholesky(out__: *mut *mut C_tensor, self_: *mut C_tensor, upper_: c_int);
    pub fn atg_cholesky_inverse(out__: *mut *mut C_tensor, self_: *mut C_tensor, upper_: c_int);
    pub fn atg_cholesky_inverse_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, upper_: c_int);
    pub fn atg_cholesky_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, upper_: c_int);
    pub fn atg_cholesky_solve(out__: *mut *mut C_tensor, self_: *mut C_tensor, input2_: *mut C_tensor, upper_: c_int);
    pub fn atg_cholesky_solve_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, input2_: *mut C_tensor, upper_: c_int);
    pub fn atg_chunk(self_: *mut C_tensor, chunks_: i64, dim_: i64) -> *mut *mut C_tensor;
    pub fn atg_clamp(out__: *mut *mut C_tensor, self_: *mut C_tensor, min_: *mut C_scalar, max_: *mut C_scalar);
    pub fn atg_clamp_(out__: *mut *mut C_tensor, self_: *mut C_tensor, min_: *mut C_scalar, max_: *mut C_scalar);
    pub fn atg_clamp_max(out__: *mut *mut C_tensor, self_: *mut C_tensor, max_: *mut C_scalar);
    pub fn atg_clamp_max_(out__: *mut *mut C_tensor, self_: *mut C_tensor, max_: *mut C_scalar);
    pub fn atg_clamp_max_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, max_: *mut C_scalar);
    pub fn atg_clamp_min(out__: *mut *mut C_tensor, self_: *mut C_tensor, min_: *mut C_scalar);
    pub fn atg_clamp_min_(out__: *mut *mut C_tensor, self_: *mut C_tensor, min_: *mut C_scalar);
    pub fn atg_clamp_min_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, min_: *mut C_scalar);
    pub fn atg_clamp_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, min_: *mut C_scalar, max_: *mut C_scalar);
    pub fn atg_coalesce(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_combinations(out__: *mut *mut C_tensor, self_: *mut C_tensor, r_: i64, with_replacement_: c_int);
    pub fn atg_constant_pad_nd(out__: *mut *mut C_tensor, self_: *mut C_tensor, pad_data: *const i64, pad_len: c_int);
    pub fn atg_contiguous(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_conv1d(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64);
    pub fn atg_conv2d(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64);
    pub fn atg_conv3d(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64);
    pub fn atg_conv_tbc(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, pad_: i64);
    pub fn atg_conv_tbc_backward(out__: *mut *mut C_tensor, self_: *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, pad_: i64);
    pub fn atg_conv_transpose1d(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, output_padding_data: *const i64, output_padding_len: c_int, groups_: i64, dilation_data: *const i64, dilation_len: c_int);
    pub fn atg_conv_transpose2d(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, output_padding_data: *const i64, output_padding_len: c_int, groups_: i64, dilation_data: *const i64, dilation_len: c_int);
    pub fn atg_conv_transpose3d(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, output_padding_data: *const i64, output_padding_len: c_int, groups_: i64, dilation_data: *const i64, dilation_len: c_int);
    pub fn atg_convolution(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, transposed_: c_int, output_padding_data: *const i64, output_padding_len: c_int, groups_: i64);
    pub fn atg_copy_sparse_to_sparse_(out__: *mut *mut C_tensor, self_: *mut C_tensor, src_: *mut C_tensor, non_blocking_: c_int);
    pub fn atg_cos(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_cos_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_cos_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_cosh(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_cosh_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_cosh_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_cosine_embedding_loss(out__: *mut *mut C_tensor, input1_: *mut C_tensor, input2_: *mut C_tensor, target_: *mut C_tensor, margin_: f64, reduction_: i64);
    pub fn atg_cosine_similarity(out__: *mut *mut C_tensor, x1_: *mut C_tensor, x2_: *mut C_tensor, dim_: i64, eps_: f64);
    pub fn atg_cross(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor, dim_: i64);
    pub fn atg_cross_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor, dim_: i64);
    pub fn atg_ctc_loss(out__: *mut *mut C_tensor, log_probs_: *mut C_tensor, targets_: *mut C_tensor, input_lengths_data: *const i64, input_lengths_len: c_int, target_lengths_data: *const i64, target_lengths_len: c_int, blank_: i64, reduction_: i64, zero_infinity_: c_int);
    pub fn atg_ctc_loss1(out__: *mut *mut C_tensor, log_probs_: *mut C_tensor, targets_: *mut C_tensor, input_lengths_: *mut C_tensor, target_lengths_: *mut C_tensor, blank_: i64, reduction_: i64, zero_infinity_: c_int);
    pub fn atg_cudnn_affine_grid_generator(out__: *mut *mut C_tensor, theta_: *mut C_tensor, N_: i64, C_: i64, H_: i64, W_: i64);
    pub fn atg_cudnn_affine_grid_generator_backward(out__: *mut *mut C_tensor, grad_: *mut C_tensor, N_: i64, C_: i64, H_: i64, W_: i64);
    pub fn atg_cudnn_batch_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, training_: c_int, exponential_average_factor_: f64, epsilon_: f64);
    pub fn atg_cudnn_batch_norm_backward(out__: *mut *mut C_tensor, input_: *mut C_tensor, grad_output_: *mut C_tensor, weight_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, save_mean_: *mut C_tensor, save_var_: *mut C_tensor, epsilon_: f64);
    pub fn atg_cudnn_convolution(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_cudnn_convolution_backward_bias(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor);
    pub fn atg_cudnn_convolution_backward_input(out__: *mut *mut C_tensor, self_size_data: *const i64, self_size_len: c_int, grad_output_: *mut C_tensor, weight_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_cudnn_convolution_backward_weight(out__: *mut *mut C_tensor, weight_size_data: *const i64, weight_size_len: c_int, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_cudnn_convolution_transpose(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, output_padding_data: *const i64, output_padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_cudnn_convolution_transpose_backward_bias(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor);
    pub fn atg_cudnn_convolution_transpose_backward_input(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, weight_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_cudnn_convolution_transpose_backward_weight(out__: *mut *mut C_tensor, weight_size_data: *const i64, weight_size_len: c_int, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_cudnn_grid_sampler(out__: *mut *mut C_tensor, self_: *mut C_tensor, grid_: *mut C_tensor);
    pub fn atg_cudnn_grid_sampler_backward(out__: *mut *mut C_tensor, self_: *mut C_tensor, grid_: *mut C_tensor, grad_output_: *mut C_tensor);
    pub fn atg_cumprod(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_cumprod1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_cumprod_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_cumprod_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_cumsum(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_cumsum1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_cumsum_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_cumsum_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_dequantize(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_det(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_detach(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_detach_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_diag(out__: *mut *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_diag_embed(out__: *mut *mut C_tensor, self_: *mut C_tensor, offset_: i64, dim1_: i64, dim2_: i64);
    pub fn atg_diag_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_diagflat(out__: *mut *mut C_tensor, self_: *mut C_tensor, offset_: i64);
    pub fn atg_diagonal(out__: *mut *mut C_tensor, self_: *mut C_tensor, offset_: i64, dim1_: i64, dim2_: i64);
    pub fn atg_digamma(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_digamma_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_digamma_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_dist(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_div(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_div1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_div_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_div_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_div_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_dot(out__: *mut *mut C_tensor, self_: *mut C_tensor, tensor_: *mut C_tensor);
    pub fn atg_dot_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, tensor_: *mut C_tensor);
    pub fn atg_dropout(out__: *mut *mut C_tensor, input_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_dropout_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_eig(out__: *mut *mut C_tensor, self_: *mut C_tensor, eigenvectors_: c_int);
    pub fn atg_eig_out(out__: *mut *mut C_tensor, e_: *mut C_tensor, v_: *mut C_tensor, self_: *mut C_tensor, eigenvectors_: c_int);
    pub fn atg_elu(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_elu_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_elu_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, alpha_: *mut C_scalar, scale_: *mut C_scalar, input_scale_: *mut C_scalar, output_: *mut C_tensor);
    pub fn atg_elu_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, alpha_: *mut C_scalar, scale_: *mut C_scalar, input_scale_: *mut C_scalar, output_: *mut C_tensor);
    pub fn atg_elu_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_embedding(out__: *mut *mut C_tensor, weight_: *mut C_tensor, indices_: *mut C_tensor, padding_idx_: i64, scale_grad_by_freq_: c_int, sparse_: c_int);
    pub fn atg_embedding_backward(out__: *mut *mut C_tensor, grad_: *mut C_tensor, indices_: *mut C_tensor, num_weights_: i64, padding_idx_: i64, scale_grad_by_freq_: c_int, sparse_: c_int);
    pub fn atg_embedding_bag(out__: *mut *mut C_tensor, weight_: *mut C_tensor, indices_: *mut C_tensor, offsets_: *mut C_tensor, scale_grad_by_freq_: c_int, mode_: i64, sparse_: c_int, per_sample_weights_: *mut C_tensor);
    pub fn atg_embedding_dense_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, indices_: *mut C_tensor, num_weights_: i64, padding_idx_: i64, scale_grad_by_freq_: c_int);
    pub fn atg_embedding_renorm_(out__: *mut *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, max_norm_: f64, norm_type_: f64);
    pub fn atg_embedding_sparse_backward(out__: *mut *mut C_tensor, grad_: *mut C_tensor, indices_: *mut C_tensor, num_weights_: i64, padding_idx_: i64, scale_grad_by_freq_: c_int);
    pub fn atg_empty(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_empty_like(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_empty_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, options_kind: c_int, options_device: c_int);
    pub fn atg_empty_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_empty_strided(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, stride_data: *const i64, stride_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_eq(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_eq1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_eq_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_eq_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_eq_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_eq_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_erf(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erf_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erf_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erfc(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erfc_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erfc_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erfinv(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erfinv_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_erfinv_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_exp(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_exp_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_exp_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_expand(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int, implicit_: c_int);
    pub fn atg_expand_as(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_expm1(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_expm1_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_expm1_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_exponential_(out__: *mut *mut C_tensor, self_: *mut C_tensor, lambd_: f64);
    pub fn atg_eye(out__: *mut *mut C_tensor, n_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_eye1(out__: *mut *mut C_tensor, n_: i64, m_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_eye_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, n_: i64);
    pub fn atg_eye_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, n_: i64, m_: i64);
    pub fn atg_fbgemm_linear_int8_weight(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, packed_: *mut C_tensor, col_offsets_: *mut C_tensor, weight_scale_: *mut C_scalar, weight_zero_point_: *mut C_scalar, bias_: *mut C_tensor);
    pub fn atg_fbgemm_pack_quantized_matrix(out__: *mut *mut C_tensor, input_: *mut C_tensor, K_: i64, N_: i64);
    pub fn atg_feature_alpha_dropout(out__: *mut *mut C_tensor, input_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_feature_alpha_dropout_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_feature_dropout(out__: *mut *mut C_tensor, input_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_feature_dropout_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64, train_: c_int);
    pub fn atg_fft(out__: *mut *mut C_tensor, self_: *mut C_tensor, signal_ndim_: i64, normalized_: c_int);
    pub fn atg_fill_(out__: *mut *mut C_tensor, self_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_fill_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, value_: *mut C_tensor);
    pub fn atg_flatten(out__: *mut *mut C_tensor, self_: *mut C_tensor, start_dim_: i64, end_dim_: i64);
    pub fn atg_flip(out__: *mut *mut C_tensor, self_: *mut C_tensor, dims_data: *const i64, dims_len: c_int);
    pub fn atg_floor(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_floor_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_floor_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_fmod(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_fmod1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_fmod_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_fmod_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_fmod_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_fmod_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_frac(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_frac_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_frac_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_fractional_max_pool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, random_samples_: *mut C_tensor);
    pub fn atg_fractional_max_pool2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, indices_: *mut C_tensor);
    pub fn atg_fractional_max_pool2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, indices_: *mut C_tensor);
    pub fn atg_fractional_max_pool2d_out(out__: *mut *mut C_tensor, output_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, random_samples_: *mut C_tensor);
    pub fn atg_fractional_max_pool3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, random_samples_: *mut C_tensor);
    pub fn atg_fractional_max_pool3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, indices_: *mut C_tensor);
    pub fn atg_fractional_max_pool3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, indices_: *mut C_tensor);
    pub fn atg_fractional_max_pool3d_out(out__: *mut *mut C_tensor, output_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, output_size_data: *const i64, output_size_len: c_int, random_samples_: *mut C_tensor);
    pub fn atg_frobenius_norm(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_frobenius_norm1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_frobenius_norm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_full(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, fill_value_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_full_like(out__: *mut *mut C_tensor, self_: *mut C_tensor, fill_value_: *mut C_scalar);
    pub fn atg_full_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, fill_value_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_full_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, size_data: *const i64, size_len: c_int, fill_value_: *mut C_scalar);
    pub fn atg_gather(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, sparse_grad_: c_int);
    pub fn atg_gather_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, sparse_grad_: c_int);
    pub fn atg_ge(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_ge1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_ge_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_ge_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_ge_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_ge_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_gels(out__: *mut *mut C_tensor, self_: *mut C_tensor, A_: *mut C_tensor);
    pub fn atg_gels_out(out__: *mut *mut C_tensor, X_: *mut C_tensor, qr_: *mut C_tensor, self_: *mut C_tensor, A_: *mut C_tensor);
    pub fn atg_geometric_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64);
    pub fn atg_geqrf(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_geqrf_out(out__: *mut *mut C_tensor, a_: *mut C_tensor, tau_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_ger(out__: *mut *mut C_tensor, self_: *mut C_tensor, vec2_: *mut C_tensor);
    pub fn atg_ger_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, vec2_: *mut C_tensor);
    pub fn atg_glu(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_glu_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_glu_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_glu_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_grad(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_grid_sampler(out__: *mut *mut C_tensor, input_: *mut C_tensor, grid_: *mut C_tensor, interpolation_mode_: i64, padding_mode_: i64);
    pub fn atg_grid_sampler_2d(out__: *mut *mut C_tensor, input_: *mut C_tensor, grid_: *mut C_tensor, interpolation_mode_: i64, padding_mode_: i64);
    pub fn atg_grid_sampler_2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, input_: *mut C_tensor, grid_: *mut C_tensor, interpolation_mode_: i64, padding_mode_: i64);
    pub fn atg_grid_sampler_3d(out__: *mut *mut C_tensor, input_: *mut C_tensor, grid_: *mut C_tensor, interpolation_mode_: i64, padding_mode_: i64);
    pub fn atg_grid_sampler_3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, input_: *mut C_tensor, grid_: *mut C_tensor, interpolation_mode_: i64, padding_mode_: i64);
    pub fn atg_group_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, num_groups_: i64, weight_: *mut C_tensor, bias_: *mut C_tensor, eps_: f64, cudnn_enabled_: c_int);
    pub fn atg_gru(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int, batch_first_: c_int);
    pub fn atg_gru1(out__: *mut *mut C_tensor, data_: *mut C_tensor, batch_sizes_: *mut C_tensor, hx_: *mut C_tensor, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int);
    pub fn atg_gru_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor);
    pub fn atg_gt(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_gt1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_gt_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_gt_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_gt_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_gt_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_hamming_window(out__: *mut *mut C_tensor, window_length_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_hamming_window1(out__: *mut *mut C_tensor, window_length_: i64, periodic_: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_hamming_window2(out__: *mut *mut C_tensor, window_length_: i64, periodic_: c_int, alpha_: f64, options_kind: c_int, options_device: c_int);
    pub fn atg_hamming_window3(out__: *mut *mut C_tensor, window_length_: i64, periodic_: c_int, alpha_: f64, beta_: f64, options_kind: c_int, options_device: c_int);
    pub fn atg_hann_window(out__: *mut *mut C_tensor, window_length_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_hann_window1(out__: *mut *mut C_tensor, window_length_: i64, periodic_: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_hardshrink(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_hardshrink_backward(out__: *mut *mut C_tensor, grad_out_: *mut C_tensor, self_: *mut C_tensor, lambd_: *mut C_scalar);
    pub fn atg_hardtanh(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_hardtanh_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_hardtanh_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, min_val_: *mut C_scalar, max_val_: *mut C_scalar);
    pub fn atg_hardtanh_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, min_val_: *mut C_scalar, max_val_: *mut C_scalar);
    pub fn atg_hardtanh_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_hinge_embedding_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, margin_: f64, reduction_: i64);
    pub fn atg_histc(out__: *mut *mut C_tensor, self_: *mut C_tensor, bins_: i64);
    pub fn atg_histc_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, bins_: i64);
    pub fn atg_hspmm(out__: *mut *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_hspmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_ifft(out__: *mut *mut C_tensor, self_: *mut C_tensor, signal_ndim_: i64, normalized_: c_int);
    pub fn atg_index(out__: *mut *mut C_tensor, self_: *mut C_tensor, indices_data: *const *mut C_tensor, indices_len: c_int);
    pub fn atg_index_add(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_index_add_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_index_copy(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_index_copy_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_index_fill(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_index_fill1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, value_: *mut C_tensor);
    pub fn atg_index_fill_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_index_fill_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, value_: *mut C_tensor);
    pub fn atg_index_put(out__: *mut *mut C_tensor, self_: *mut C_tensor, indices_data: *const *mut C_tensor, indices_len: c_int, values_: *mut C_tensor, accumulate_: c_int);
    pub fn atg_index_put_(out__: *mut *mut C_tensor, self_: *mut C_tensor, indices_data: *const *mut C_tensor, indices_len: c_int, values_: *mut C_tensor, accumulate_: c_int);
    pub fn atg_index_select(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor);
    pub fn atg_index_select_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor);
    pub fn atg_indices(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_instance_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, use_input_stats_: c_int, momentum_: f64, eps_: f64, cudnn_enabled_: c_int);
    pub fn atg_int_repr(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_inverse(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_inverse_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_irfft(out__: *mut *mut C_tensor, self_: *mut C_tensor, signal_ndim_: i64, normalized_: c_int, onesided_: c_int, signal_sizes_data: *const i64, signal_sizes_len: c_int);
    pub fn atg_isclose(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor, rtol_: f64, atol_: f64, equal_nan_: c_int);
    pub fn atg_isnan(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_kl_div(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_kl_div_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_kthvalue(out__: *mut *mut C_tensor, self_: *mut C_tensor, k_: i64, dim_: i64, keepdim_: c_int);
    pub fn atg_kthvalue_out(out__: *mut *mut C_tensor, values_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, k_: i64, dim_: i64, keepdim_: c_int);
    pub fn atg_l1_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_l1_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_l1_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_l1_loss_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_layer_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, normalized_shape_data: *const i64, normalized_shape_len: c_int, weight_: *mut C_tensor, bias_: *mut C_tensor, eps_: f64, cudnn_enable_: c_int);
    pub fn atg_le(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_le1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_le_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_le_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_le_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_le_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_leaky_relu(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_leaky_relu_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_leaky_relu_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, negative_slope_: *mut C_scalar);
    pub fn atg_leaky_relu_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, negative_slope_: *mut C_scalar);
    pub fn atg_leaky_relu_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_lerp(out__: *mut *mut C_tensor, self_: *mut C_tensor, end_: *mut C_tensor, weight_: *mut C_scalar);
    pub fn atg_lerp1(out__: *mut *mut C_tensor, self_: *mut C_tensor, end_: *mut C_tensor, weight_: *mut C_tensor);
    pub fn atg_lerp_(out__: *mut *mut C_tensor, self_: *mut C_tensor, end_: *mut C_tensor, weight_: *mut C_scalar);
    pub fn atg_lerp_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, end_: *mut C_tensor, weight_: *mut C_tensor);
    pub fn atg_lerp_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, end_: *mut C_tensor, weight_: *mut C_scalar);
    pub fn atg_lerp_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, end_: *mut C_tensor, weight_: *mut C_tensor);
    pub fn atg_lgamma(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_lgamma_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_lgamma_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_linear(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor);
    pub fn atg_linspace(out__: *mut *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, steps_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_linspace_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, steps_: i64);
    pub fn atg_log(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log10(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log10_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log10_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log1p(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log1p_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log1p_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log2(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log2_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log2_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log_normal_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mean_: f64, std_: f64);
    pub fn atg_log_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log_sigmoid(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log_sigmoid_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, buffer_: *mut C_tensor);
    pub fn atg_log_sigmoid_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, buffer_: *mut C_tensor);
    pub fn atg_log_sigmoid_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_log_softmax(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_log_softmax1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_logdet(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_logspace(out__: *mut *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, steps_: i64, base_: f64, options_kind: c_int, options_device: c_int);
    pub fn atg_logspace_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, steps_: i64, base_: f64);
    pub fn atg_logsumexp(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_logsumexp_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_lstm(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_data: *const *mut C_tensor, hx_len: c_int, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int, batch_first_: c_int);
    pub fn atg_lstm1(out__: *mut *mut C_tensor, data_: *mut C_tensor, batch_sizes_: *mut C_tensor, hx_data: *const *mut C_tensor, hx_len: c_int, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int);
    pub fn atg_lstm_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_data: *const *mut C_tensor, hx_len: c_int, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor);
    pub fn atg_lt(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_lt1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_lt_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_lt_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_lt_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_lt_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_lu_solve(out__: *mut *mut C_tensor, self_: *mut C_tensor, LU_data_: *mut C_tensor, LU_pivots_: *mut C_tensor);
    pub fn atg_lu_solve_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, LU_data_: *mut C_tensor, LU_pivots_: *mut C_tensor);
    pub fn atg_margin_ranking_loss(out__: *mut *mut C_tensor, input1_: *mut C_tensor, input2_: *mut C_tensor, target_: *mut C_tensor, margin_: f64, reduction_: i64);
    pub fn atg_masked_fill(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_masked_fill1(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor, value_: *mut C_tensor);
    pub fn atg_masked_fill_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_masked_fill_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor, value_: *mut C_tensor);
    pub fn atg_masked_scatter(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_masked_scatter_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_masked_select(out__: *mut *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor);
    pub fn atg_masked_select_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mask_: *mut C_tensor);
    pub fn atg_matmul(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_matmul_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_matrix_power(out__: *mut *mut C_tensor, self_: *mut C_tensor, n_: i64);
    pub fn atg_matrix_rank(out__: *mut *mut C_tensor, self_: *mut C_tensor, symmetric_: c_int);
    pub fn atg_matrix_rank1(out__: *mut *mut C_tensor, self_: *mut C_tensor, tol_: f64, symmetric_: c_int);
    pub fn atg_max(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_max1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_max2(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_max_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_max_out1(out__: *mut *mut C_tensor, max_: *mut C_tensor, max_values_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_max_pool1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool1d_with_indices(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool2d_with_indices(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool2d_with_indices_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int, indices_: *mut C_tensor);
    pub fn atg_max_pool2d_with_indices_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int, indices_: *mut C_tensor);
    pub fn atg_max_pool2d_with_indices_out(out__: *mut *mut C_tensor, output_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool3d_with_indices(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_pool3d_with_indices_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int, indices_: *mut C_tensor);
    pub fn atg_max_pool3d_with_indices_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int, indices_: *mut C_tensor);
    pub fn atg_max_pool3d_with_indices_out(out__: *mut *mut C_tensor, output_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_max_unpool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_max_unpool2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_max_unpool2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_max_unpool2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_max_unpool3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int);
    pub fn atg_max_unpool3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int);
    pub fn atg_max_unpool3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int);
    pub fn atg_max_unpool3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, indices_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int);
    pub fn atg_max_values(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_mean(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_mean1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dtype_: c_int);
    pub fn atg_mean2(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_mean3(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, dtype_: c_int);
    pub fn atg_mean4(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int, dtype_: c_int);
    pub fn atg_mean_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_mean_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, dtype_: c_int);
    pub fn atg_mean_out2(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int, dtype_: c_int);
    pub fn atg_median(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_median1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_median_out(out__: *mut *mut C_tensor, values_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_meshgrid(tensors_data: *const *mut C_tensor, tensors_len: c_int) -> *mut *mut C_tensor;
    pub fn atg_min(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_min1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_min2(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_min_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_min_out1(out__: *mut *mut C_tensor, min_: *mut C_tensor, min_indices_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_min_values(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_miopen_batch_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, training_: c_int, exponential_average_factor_: f64, epsilon_: f64);
    pub fn atg_miopen_batch_norm_backward(out__: *mut *mut C_tensor, input_: *mut C_tensor, grad_output_: *mut C_tensor, weight_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, save_mean_: *mut C_tensor, save_var_: *mut C_tensor, epsilon_: f64);
    pub fn atg_miopen_convolution(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_convolution_backward_bias(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor);
    pub fn atg_miopen_convolution_backward_input(out__: *mut *mut C_tensor, self_size_data: *const i64, self_size_len: c_int, grad_output_: *mut C_tensor, weight_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_convolution_backward_weight(out__: *mut *mut C_tensor, weight_size_data: *const i64, weight_size_len: c_int, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_convolution_transpose(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, output_padding_data: *const i64, output_padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_convolution_transpose_backward_input(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, weight_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_convolution_transpose_backward_weight(out__: *mut *mut C_tensor, weight_size_data: *const i64, weight_size_len: c_int, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_depthwise_convolution(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_depthwise_convolution_backward_input(out__: *mut *mut C_tensor, self_size_data: *const i64, self_size_len: c_int, grad_output_: *mut C_tensor, weight_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_miopen_depthwise_convolution_backward_weight(out__: *mut *mut C_tensor, weight_size_data: *const i64, weight_size_len: c_int, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, benchmark_: c_int, deterministic_: c_int);
    pub fn atg_mkldnn_convolution(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64);
    pub fn atg_mkldnn_convolution_backward_input(out__: *mut *mut C_tensor, self_size_data: *const i64, self_size_len: c_int, grad_output_: *mut C_tensor, weight_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, bias_defined_: c_int);
    pub fn atg_mkldnn_convolution_backward_weights(out__: *mut *mut C_tensor, weight_size_data: *const i64, weight_size_len: c_int, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64, bias_defined_: c_int);
    pub fn atg_mkldnn_linear(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor);
    pub fn atg_mkldnn_max_pool2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, kernel_size_data: *const i64, kernel_size_len: c_int, stride_data: *const i64, stride_len: c_int, padding_data: *const i64, padding_len: c_int, dilation_data: *const i64, dilation_len: c_int, ceil_mode_: c_int);
    pub fn atg_mkldnn_reorder_conv2d_weight(out__: *mut *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int, stride_data: *const i64, stride_len: c_int, dilation_data: *const i64, dilation_len: c_int, groups_: i64);
    pub fn atg_mkldnn_reshape(out__: *mut *mut C_tensor, self_: *mut C_tensor, shape_data: *const i64, shape_len: c_int);
    pub fn atg_mm(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_mm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_mode(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_mode_out(out__: *mut *mut C_tensor, values_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_mse_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_mse_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_mse_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_mse_loss_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_mul(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_mul1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_mul_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_mul_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_mul_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_multi_margin_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, p_: *mut C_scalar, margin_: *mut C_scalar, weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_multi_margin_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, p_: *mut C_scalar, margin_: *mut C_scalar, weight_: *mut C_tensor, reduction_: i64);
    pub fn atg_multilabel_margin_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_multilabel_margin_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64, is_target_: *mut C_tensor);
    pub fn atg_multilabel_margin_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64, is_target_: *mut C_tensor);
    pub fn atg_multilabel_margin_loss_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_multinomial(out__: *mut *mut C_tensor, self_: *mut C_tensor, num_samples_: i64, replacement_: c_int);
    pub fn atg_multinomial_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, num_samples_: i64, replacement_: c_int);
    pub fn atg_mv(out__: *mut *mut C_tensor, self_: *mut C_tensor, vec_: *mut C_tensor);
    pub fn atg_mv_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, vec_: *mut C_tensor);
    pub fn atg_mvlgamma(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: i64);
    pub fn atg_mvlgamma_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: i64);
    pub fn atg_narrow(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, start_: i64, length_: i64);
    pub fn atg_narrow_copy(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, start_: i64, length_: i64);
    pub fn atg_native_batch_norm(out__: *mut *mut C_tensor, input_: *mut C_tensor, weight_: *mut C_tensor, bias_: *mut C_tensor, running_mean_: *mut C_tensor, running_var_: *mut C_tensor, training_: c_int, momentum_: f64, eps_: f64);
    pub fn atg_native_norm(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_ne(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_ne1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_ne_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_ne_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_ne_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_ne_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_neg(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_neg_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_neg_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_nll_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64);
    pub fn atg_nll_loss2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64);
    pub fn atg_nll_loss2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64, total_weight_: *mut C_tensor);
    pub fn atg_nll_loss2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64, total_weight_: *mut C_tensor);
    pub fn atg_nll_loss2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64);
    pub fn atg_nll_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64, total_weight_: *mut C_tensor);
    pub fn atg_nll_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64, total_weight_: *mut C_tensor);
    pub fn atg_nll_loss_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, weight_: *mut C_tensor, reduction_: i64, ignore_index_: i64);
    pub fn atg_nonzero(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_nonzero_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_norm(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_norm1(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dtype_: c_int);
    pub fn atg_norm2(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_norm3(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_data: *const i64, dim_len: c_int, keepdim_: c_int, dtype_: c_int);
    pub fn atg_norm_except_dim(out__: *mut *mut C_tensor, v_: *mut C_tensor, pow_: i64, dim_: i64);
    pub fn atg_norm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_norm_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_data: *const i64, dim_len: c_int, keepdim_: c_int, dtype_: c_int);
    pub fn atg_normal(out__: *mut *mut C_tensor, mean_: *mut C_tensor, std_: f64);
    pub fn atg_normal1(out__: *mut *mut C_tensor, mean_: f64, std_: *mut C_tensor);
    pub fn atg_normal2(out__: *mut *mut C_tensor, mean_: *mut C_tensor, std_: *mut C_tensor);
    pub fn atg_normal_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mean_: f64, std_: f64);
    pub fn atg_normal_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, mean_: *mut C_tensor, std_: f64);
    pub fn atg_normal_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, mean_: f64, std_: *mut C_tensor);
    pub fn atg_normal_out2(out__: *mut *mut C_tensor, out_: *mut C_tensor, mean_: *mut C_tensor, std_: *mut C_tensor);
    pub fn atg_nuclear_norm(out__: *mut *mut C_tensor, self_: *mut C_tensor, keepdim_: c_int);
    pub fn atg_nuclear_norm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, keepdim_: c_int);
    pub fn atg_one_hot(out__: *mut *mut C_tensor, self_: *mut C_tensor, num_classes_: i64);
    pub fn atg_ones(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_ones_like(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_ones_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, options_kind: c_int, options_device: c_int);
    pub fn atg_ones_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_orgqr(out__: *mut *mut C_tensor, self_: *mut C_tensor, input2_: *mut C_tensor);
    pub fn atg_orgqr_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, input2_: *mut C_tensor);
    pub fn atg_ormqr(out__: *mut *mut C_tensor, self_: *mut C_tensor, input2_: *mut C_tensor, input3_: *mut C_tensor, left_: c_int, transpose_: c_int);
    pub fn atg_ormqr_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, input2_: *mut C_tensor, input3_: *mut C_tensor, left_: c_int, transpose_: c_int);
    pub fn atg_pairwise_distance(out__: *mut *mut C_tensor, x1_: *mut C_tensor, x2_: *mut C_tensor, p_: f64, eps_: f64, keepdim_: c_int);
    pub fn atg_pdist(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: f64);
    pub fn atg_permute(out__: *mut *mut C_tensor, self_: *mut C_tensor, dims_data: *const i64, dims_len: c_int);
    pub fn atg_pin_memory(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_pinverse(out__: *mut *mut C_tensor, self_: *mut C_tensor, rcond_: f64);
    pub fn atg_pixel_shuffle(out__: *mut *mut C_tensor, self_: *mut C_tensor, upscale_factor_: i64);
    pub fn atg_poisson(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_polygamma(out__: *mut *mut C_tensor, n_: i64, self_: *mut C_tensor);
    pub fn atg_polygamma_(out__: *mut *mut C_tensor, self_: *mut C_tensor, n_: i64);
    pub fn atg_polygamma_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, n_: i64, self_: *mut C_tensor);
    pub fn atg_pow(out__: *mut *mut C_tensor, self_: *mut C_tensor, exponent_: *mut C_scalar);
    pub fn atg_pow1(out__: *mut *mut C_tensor, self_: *mut C_tensor, exponent_: *mut C_tensor);
    pub fn atg_pow2(out__: *mut *mut C_tensor, self_scalar_: *mut C_scalar, exponent_: *mut C_tensor);
    pub fn atg_pow_(out__: *mut *mut C_tensor, self_: *mut C_tensor, exponent_: *mut C_scalar);
    pub fn atg_pow_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, exponent_: *mut C_tensor);
    pub fn atg_pow_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, exponent_: *mut C_scalar);
    pub fn atg_pow_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, exponent_: *mut C_tensor);
    pub fn atg_pow_out2(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_scalar_: *mut C_scalar, exponent_: *mut C_tensor);
    pub fn atg_prelu(out__: *mut *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor);
    pub fn atg_prelu_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, weight_: *mut C_tensor);
    pub fn atg_prod(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_prod1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dtype_: c_int);
    pub fn atg_prod2(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_prod3(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_prod4(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int, dtype_: c_int);
    pub fn atg_prod_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int);
    pub fn atg_prod_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_prod_out2(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, keepdim_: c_int, dtype_: c_int);
    pub fn atg_pstrf(out__: *mut *mut C_tensor, self_: *mut C_tensor, upper_: c_int);
    pub fn atg_pstrf_out(out__: *mut *mut C_tensor, u_: *mut C_tensor, pivot_: *mut C_tensor, self_: *mut C_tensor, upper_: c_int);
    pub fn atg_put_(out__: *mut *mut C_tensor, self_: *mut C_tensor, index_: *mut C_tensor, source_: *mut C_tensor, accumulate_: c_int);
    pub fn atg_qr(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_qr_out(out__: *mut *mut C_tensor, Q_: *mut C_tensor, R_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_quantize_linear(out__: *mut *mut C_tensor, self_: *mut C_tensor, scale_: f64, zero_point_: i64);
    pub fn atg_quantized_gru_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor, packed_ih_: *mut C_tensor, packed_hh_: *mut C_tensor, col_offsets_ih_: *mut C_tensor, col_offsets_hh_: *mut C_tensor, scale_ih_: *mut C_scalar, scale_hh_: *mut C_scalar, zero_point_ih_: *mut C_scalar, zero_point_hh_: *mut C_scalar);
    pub fn atg_quantized_lstm(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_data: *const *mut C_tensor, hx_len: c_int, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int, batch_first_: c_int);
    pub fn atg_quantized_lstm_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_data: *const *mut C_tensor, hx_len: c_int, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor, packed_ih_: *mut C_tensor, packed_hh_: *mut C_tensor, col_offsets_ih_: *mut C_tensor, col_offsets_hh_: *mut C_tensor, scale_ih_: *mut C_scalar, scale_hh_: *mut C_scalar, zero_point_ih_: *mut C_scalar, zero_point_hh_: *mut C_scalar);
    pub fn atg_quantized_rnn_relu_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor, packed_ih_: *mut C_tensor, packed_hh_: *mut C_tensor, col_offsets_ih_: *mut C_tensor, col_offsets_hh_: *mut C_tensor, scale_ih_: *mut C_scalar, scale_hh_: *mut C_scalar, zero_point_ih_: *mut C_scalar, zero_point_hh_: *mut C_scalar);
    pub fn atg_quantized_rnn_tanh_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor, packed_ih_: *mut C_tensor, packed_hh_: *mut C_tensor, col_offsets_ih_: *mut C_tensor, col_offsets_hh_: *mut C_tensor, scale_ih_: *mut C_scalar, scale_hh_: *mut C_scalar, zero_point_ih_: *mut C_scalar, zero_point_hh_: *mut C_scalar);
    pub fn atg_rand(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_rand_like(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_rand_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, options_kind: c_int, options_device: c_int);
    pub fn atg_rand_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_randint(out__: *mut *mut C_tensor, high_: i64, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_randint1(out__: *mut *mut C_tensor, low_: i64, high_: i64, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_randint_like(out__: *mut *mut C_tensor, self_: *mut C_tensor, high_: i64);
    pub fn atg_randint_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, low_: i64, high_: i64);
    pub fn atg_randint_like2(out__: *mut *mut C_tensor, self_: *mut C_tensor, high_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_randint_like3(out__: *mut *mut C_tensor, self_: *mut C_tensor, low_: i64, high_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_randint_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, high_: i64, size_data: *const i64, size_len: c_int);
    pub fn atg_randint_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, low_: i64, high_: i64, size_data: *const i64, size_len: c_int);
    pub fn atg_randn(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_randn_like(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_randn_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, options_kind: c_int, options_device: c_int);
    pub fn atg_randn_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_random_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_random_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, to_: i64);
    pub fn atg_random_2(out__: *mut *mut C_tensor, self_: *mut C_tensor, from_: i64, to_: i64);
    pub fn atg_randperm(out__: *mut *mut C_tensor, n_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_randperm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, n_: i64);
    pub fn atg_range(out__: *mut *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_range1(out__: *mut *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_range_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, start_: *mut C_scalar, end_: *mut C_scalar);
    pub fn atg_reciprocal(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_reciprocal_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_reciprocal_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_reflection_pad1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad1d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad1d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad1d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reflection_pad2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_relu(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_relu_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_remainder(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_remainder1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_remainder_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_remainder_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_remainder_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_remainder_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_renorm(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_: i64, maxnorm_: *mut C_scalar);
    pub fn atg_renorm_(out__: *mut *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_: i64, maxnorm_: *mut C_scalar);
    pub fn atg_renorm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, p_: *mut C_scalar, dim_: i64, maxnorm_: *mut C_scalar);
    pub fn atg_repeat(out__: *mut *mut C_tensor, self_: *mut C_tensor, repeats_data: *const i64, repeats_len: c_int);
    pub fn atg_repeat_interleave(out__: *mut *mut C_tensor, repeats_: *mut C_tensor);
    pub fn atg_repeat_interleave1(out__: *mut *mut C_tensor, self_: *mut C_tensor, repeats_: *mut C_tensor, dim_: i64);
    pub fn atg_repeat_interleave2(out__: *mut *mut C_tensor, self_: *mut C_tensor, repeats_: i64, dim_: i64);
    pub fn atg_replication_pad1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad1d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad1d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad1d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_replication_pad3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, padding_data: *const i64, padding_len: c_int);
    pub fn atg_reshape(out__: *mut *mut C_tensor, self_: *mut C_tensor, shape_data: *const i64, shape_len: c_int);
    pub fn atg_reshape_as(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_resize_(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_resize_as_(out__: *mut *mut C_tensor, self_: *mut C_tensor, the_template_: *mut C_tensor);
    pub fn atg_rfft(out__: *mut *mut C_tensor, self_: *mut C_tensor, signal_ndim_: i64, normalized_: c_int, onesided_: c_int);
    pub fn atg_rnn_relu(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int, batch_first_: c_int);
    pub fn atg_rnn_relu1(out__: *mut *mut C_tensor, data_: *mut C_tensor, batch_sizes_: *mut C_tensor, hx_: *mut C_tensor, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int);
    pub fn atg_rnn_relu_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor);
    pub fn atg_rnn_tanh(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int, batch_first_: c_int);
    pub fn atg_rnn_tanh1(out__: *mut *mut C_tensor, data_: *mut C_tensor, batch_sizes_: *mut C_tensor, hx_: *mut C_tensor, params_data: *const *mut C_tensor, params_len: c_int, has_biases_: c_int, num_layers_: i64, dropout_: f64, train_: c_int, bidirectional_: c_int);
    pub fn atg_rnn_tanh_cell(out__: *mut *mut C_tensor, input_: *mut C_tensor, hx_: *mut C_tensor, w_ih_: *mut C_tensor, w_hh_: *mut C_tensor, b_ih_: *mut C_tensor, b_hh_: *mut C_tensor);
    pub fn atg_roll(out__: *mut *mut C_tensor, self_: *mut C_tensor, shifts_data: *const i64, shifts_len: c_int, dims_data: *const i64, dims_len: c_int);
    pub fn atg_rot90(out__: *mut *mut C_tensor, self_: *mut C_tensor, k_: i64, dims_data: *const i64, dims_len: c_int);
    pub fn atg_round(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_round_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_round_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_rrelu(out__: *mut *mut C_tensor, self_: *mut C_tensor, training_: c_int);
    pub fn atg_rrelu_(out__: *mut *mut C_tensor, self_: *mut C_tensor, training_: c_int);
    pub fn atg_rrelu_with_noise(out__: *mut *mut C_tensor, self_: *mut C_tensor, noise_: *mut C_tensor, training_: c_int);
    pub fn atg_rrelu_with_noise_(out__: *mut *mut C_tensor, self_: *mut C_tensor, noise_: *mut C_tensor, training_: c_int);
    pub fn atg_rrelu_with_noise_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, noise_: *mut C_tensor, lower_: *mut C_scalar, upper_: *mut C_scalar, training_: c_int);
    pub fn atg_rrelu_with_noise_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, noise_: *mut C_tensor, lower_: *mut C_scalar, upper_: *mut C_scalar, training_: c_int);
    pub fn atg_rrelu_with_noise_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, noise_: *mut C_tensor, training_: c_int);
    pub fn atg_rsqrt(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_rsqrt_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_rsqrt_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_rsub(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_rsub1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_s_copy_(out__: *mut *mut C_tensor, self_: *mut C_tensor, src_: *mut C_tensor, non_blocking_: c_int);
    pub fn atg_s_native_addmm(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_s_native_addmm_(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_s_native_addmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_scalar_tensor(out__: *mut *mut C_tensor, s_: *mut C_scalar, options_kind: c_int, options_device: c_int);
    pub fn atg_scatter(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, src_: *mut C_tensor);
    pub fn atg_scatter1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_scatter_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, src_: *mut C_tensor);
    pub fn atg_scatter_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, value_: *mut C_scalar);
    pub fn atg_scatter_add(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, src_: *mut C_tensor);
    pub fn atg_scatter_add_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: *mut C_tensor, src_: *mut C_tensor);
    pub fn atg_select(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, index_: i64);
    pub fn atg_selu(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_selu_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_set_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_set_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, source_: *mut C_tensor);
    pub fn atg_set_requires_grad(out__: *mut *mut C_tensor, self_: *mut C_tensor, r_: c_int);
    pub fn atg_sigmoid(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sigmoid_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sigmoid_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_: *mut C_tensor);
    pub fn atg_sigmoid_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_: *mut C_tensor);
    pub fn atg_sigmoid_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sign(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sign_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sign_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sin(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sin_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sin_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sinh(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sinh_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sinh_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_slice(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, start_: i64, end_: i64, step_: i64);
    pub fn atg_slogdet(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_smm(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_smooth_l1_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_smooth_l1_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_smooth_l1_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_smooth_l1_loss_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_soft_margin_loss(out__: *mut *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_soft_margin_loss_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_soft_margin_loss_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_soft_margin_loss_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, target_: *mut C_tensor, reduction_: i64);
    pub fn atg_softmax(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_softmax1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, dtype_: c_int);
    pub fn atg_softplus(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_softplus_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, beta_: *mut C_scalar, threshold_: *mut C_scalar, output_: *mut C_tensor);
    pub fn atg_softplus_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, beta_: *mut C_scalar, threshold_: *mut C_scalar, output_: *mut C_tensor);
    pub fn atg_softplus_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_softshrink(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_softshrink_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, lambd_: *mut C_scalar);
    pub fn atg_softshrink_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, lambd_: *mut C_scalar);
    pub fn atg_softshrink_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_solve(out__: *mut *mut C_tensor, self_: *mut C_tensor, A_: *mut C_tensor);
    pub fn atg_solve_out(out__: *mut *mut C_tensor, solution_: *mut C_tensor, lu_: *mut C_tensor, self_: *mut C_tensor, A_: *mut C_tensor);
    pub fn atg_sort(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, descending_: c_int);
    pub fn atg_sort_out(out__: *mut *mut C_tensor, values_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, dim_: i64, descending_: c_int);
    pub fn atg_sparse_coo_tensor(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_sparse_coo_tensor1(out__: *mut *mut C_tensor, indices_: *mut C_tensor, values_: *mut C_tensor, options_kind: c_int, options_device: c_int);
    pub fn atg_sparse_coo_tensor2(out__: *mut *mut C_tensor, indices_: *mut C_tensor, values_: *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_sparse_resize_(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int, sparse_dim_: i64, dense_dim_: i64);
    pub fn atg_sparse_resize_and_clear_(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int, sparse_dim_: i64, dense_dim_: i64);
    pub fn atg_split(self_: *mut C_tensor, split_size_: i64, dim_: i64) -> *mut *mut C_tensor;
    pub fn atg_split_with_sizes(self_: *mut C_tensor, split_sizes_data: *const i64, split_sizes_len: c_int, dim_: i64) -> *mut *mut C_tensor;
    pub fn atg_sqrt(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sqrt_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sqrt_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_squeeze(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_squeeze1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_squeeze_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_squeeze_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_sspaddmm(out__: *mut *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_sspaddmm_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, mat1_: *mut C_tensor, mat2_: *mut C_tensor);
    pub fn atg_stack(out__: *mut *mut C_tensor, tensors_data: *const *mut C_tensor, tensors_len: c_int, dim_: i64);
    pub fn atg_stack_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, tensors_data: *const *mut C_tensor, tensors_len: c_int, dim_: i64);
    pub fn atg_std(out__: *mut *mut C_tensor, self_: *mut C_tensor, unbiased_: c_int);
    pub fn atg_std1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, unbiased_: c_int, keepdim_: c_int);
    pub fn atg_std_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, unbiased_: c_int, keepdim_: c_int);
    pub fn atg_stft(out__: *mut *mut C_tensor, self_: *mut C_tensor, n_fft_: i64, hop_length_: i64, win_length_: i64, window_: *mut C_tensor, normalized_: c_int, onesided_: c_int);
    pub fn atg_sub(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_sub1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_sub_(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_sub_1(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_scalar);
    pub fn atg_sub_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_sum(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_sum1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dtype_: c_int);
    pub fn atg_sum2(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_sum3(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, dtype_: c_int);
    pub fn atg_sum4(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int, dtype_: c_int);
    pub fn atg_sum_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int);
    pub fn atg_sum_out1(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, dtype_: c_int);
    pub fn atg_sum_out2(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, keepdim_: c_int, dtype_: c_int);
    pub fn atg_sum_to_size(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_svd(out__: *mut *mut C_tensor, self_: *mut C_tensor, some_: c_int, compute_uv_: c_int);
    pub fn atg_svd_out(out__: *mut *mut C_tensor, U_: *mut C_tensor, S_: *mut C_tensor, V_: *mut C_tensor, self_: *mut C_tensor, some_: c_int, compute_uv_: c_int);
    pub fn atg_symeig(out__: *mut *mut C_tensor, self_: *mut C_tensor, eigenvectors_: c_int, upper_: c_int);
    pub fn atg_symeig_out(out__: *mut *mut C_tensor, e_: *mut C_tensor, V_: *mut C_tensor, self_: *mut C_tensor, eigenvectors_: c_int, upper_: c_int);
    pub fn atg_t(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_t_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_take(out__: *mut *mut C_tensor, self_: *mut C_tensor, index_: *mut C_tensor);
    pub fn atg_take_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, index_: *mut C_tensor);
    pub fn atg_tan(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_tan_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_tan_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_tanh(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_tanh_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_tanh_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_: *mut C_tensor);
    pub fn atg_tanh_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_: *mut C_tensor);
    pub fn atg_tanh_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_tensordot(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor, dims_self_data: *const i64, dims_self_len: c_int, dims_other_data: *const i64, dims_other_len: c_int);
    pub fn atg_threshold(out__: *mut *mut C_tensor, self_: *mut C_tensor, threshold_: *mut C_scalar, value_: *mut C_scalar);
    pub fn atg_threshold_(out__: *mut *mut C_tensor, self_: *mut C_tensor, threshold_: *mut C_scalar, value_: *mut C_scalar);
    pub fn atg_threshold_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, self_: *mut C_tensor, threshold_: *mut C_scalar);
    pub fn atg_threshold_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, threshold_: *mut C_scalar, value_: *mut C_scalar);
    pub fn atg_to(out__: *mut *mut C_tensor, self_: *mut C_tensor, device_: c_int);
    pub fn atg_to1(out__: *mut *mut C_tensor, self_: *mut C_tensor, options_kind: c_int, options_device: c_int, non_blocking_: c_int, copy_: c_int);
    pub fn atg_to2(out__: *mut *mut C_tensor, self_: *mut C_tensor, dtype_: c_int, non_blocking_: c_int, copy_: c_int);
    pub fn atg_to3(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor, non_blocking_: c_int, copy_: c_int);
    pub fn atg_to4(out__: *mut *mut C_tensor, self_: *mut C_tensor, device_: c_int, dtype_: c_int, non_blocking_: c_int, copy_: c_int);
    pub fn atg_to_dense(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_to_dense_backward(out__: *mut *mut C_tensor, grad_: *mut C_tensor, input_: *mut C_tensor);
    pub fn atg_to_mkldnn(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_to_mkldnn_backward(out__: *mut *mut C_tensor, grad_: *mut C_tensor, input_: *mut C_tensor);
    pub fn atg_to_sparse(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_to_sparse1(out__: *mut *mut C_tensor, self_: *mut C_tensor, sparse_dim_: i64);
    pub fn atg_topk(out__: *mut *mut C_tensor, self_: *mut C_tensor, k_: i64, dim_: i64, largest_: c_int, sorted_: c_int);
    pub fn atg_topk_out(out__: *mut *mut C_tensor, values_: *mut C_tensor, indices_: *mut C_tensor, self_: *mut C_tensor, k_: i64, dim_: i64, largest_: c_int, sorted_: c_int);
    pub fn atg_totype(out__: *mut *mut C_tensor, self_: *mut C_tensor, scalar_type_: c_int);
    pub fn atg_trace(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_transpose(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim0_: i64, dim1_: i64);
    pub fn atg_transpose_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim0_: i64, dim1_: i64);
    pub fn atg_triangular_solve(out__: *mut *mut C_tensor, self_: *mut C_tensor, A_: *mut C_tensor, upper_: c_int, transpose_: c_int, unitriangular_: c_int);
    pub fn atg_triangular_solve_out(out__: *mut *mut C_tensor, X_: *mut C_tensor, M_: *mut C_tensor, self_: *mut C_tensor, A_: *mut C_tensor, upper_: c_int, transpose_: c_int, unitriangular_: c_int);
    pub fn atg_tril(out__: *mut *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_tril_(out__: *mut *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_tril_indices(out__: *mut *mut C_tensor, row_: i64, col_: i64, offset_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_tril_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_triplet_margin_loss(out__: *mut *mut C_tensor, anchor_: *mut C_tensor, positive_: *mut C_tensor, negative_: *mut C_tensor, margin_: f64, p_: f64, eps_: f64, swap_: c_int, reduction_: i64);
    pub fn atg_triu(out__: *mut *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_triu_(out__: *mut *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_triu_indices(out__: *mut *mut C_tensor, row_: i64, col_: i64, offset_: i64, options_kind: c_int, options_device: c_int);
    pub fn atg_triu_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, diagonal_: i64);
    pub fn atg_trunc(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_trunc_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_trunc_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_type_as(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_unbind(self_: *mut C_tensor, dim_: i64) -> *mut *mut C_tensor;
    pub fn atg_unfold(out__: *mut *mut C_tensor, self_: *mut C_tensor, dimension_: i64, size_: i64, step_: i64);
    pub fn atg_uniform_(out__: *mut *mut C_tensor, self_: *mut C_tensor, from_: f64, to_: f64);
    pub fn atg_unique_consecutive(out__: *mut *mut C_tensor, self_: *mut C_tensor, return_inverse_: c_int, return_counts_: c_int, dim_: i64);
    pub fn atg_unique_dim(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, sorted_: c_int, return_inverse_: c_int, return_counts_: c_int);
    pub fn atg_unique_dim_consecutive(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64, return_inverse_: c_int, return_counts_: c_int);
    pub fn atg_unsqueeze(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_unsqueeze_(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_: i64);
    pub fn atg_upsample_bicubic2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bicubic2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bicubic2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bicubic2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bilinear2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bilinear2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bilinear2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_bilinear2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_linear1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_linear1d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_linear1d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_linear1d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_nearest1d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_upsample_nearest1d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int);
    pub fn atg_upsample_nearest1d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int);
    pub fn atg_upsample_nearest1d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_upsample_nearest2d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_upsample_nearest2d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int);
    pub fn atg_upsample_nearest2d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int);
    pub fn atg_upsample_nearest2d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_upsample_nearest3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_upsample_nearest3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int);
    pub fn atg_upsample_nearest3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int);
    pub fn atg_upsample_nearest3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int);
    pub fn atg_upsample_trilinear3d(out__: *mut *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_trilinear3d_backward(out__: *mut *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_trilinear3d_backward_out(out__: *mut *mut C_tensor, grad_input_: *mut C_tensor, grad_output_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, input_size_data: *const i64, input_size_len: c_int, align_corners_: c_int);
    pub fn atg_upsample_trilinear3d_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, output_size_data: *const i64, output_size_len: c_int, align_corners_: c_int);
    pub fn atg_values(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_var(out__: *mut *mut C_tensor, self_: *mut C_tensor, unbiased_: c_int);
    pub fn atg_var1(out__: *mut *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, unbiased_: c_int, keepdim_: c_int);
    pub fn atg_var_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, self_: *mut C_tensor, dim_data: *const i64, dim_len: c_int, unbiased_: c_int, keepdim_: c_int);
    pub fn atg_view(out__: *mut *mut C_tensor, self_: *mut C_tensor, size_data: *const i64, size_len: c_int);
    pub fn atg_view_as(out__: *mut *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_where(out__: *mut *mut C_tensor, condition_: *mut C_tensor, self_: *mut C_tensor, other_: *mut C_tensor);
    pub fn atg_zero_(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_zeros(out__: *mut *mut C_tensor, size_data: *const i64, size_len: c_int, options_kind: c_int, options_device: c_int);
    pub fn atg_zeros_like(out__: *mut *mut C_tensor, self_: *mut C_tensor);
    pub fn atg_zeros_like1(out__: *mut *mut C_tensor, self_: *mut C_tensor, options_kind: c_int, options_device: c_int);
    pub fn atg_zeros_out(out__: *mut *mut C_tensor, out_: *mut C_tensor, size_data: *const i64, size_len: c_int);
}