1#pragma once
2
3// @generated by torchgen/gen.py from Operator.h
4
5#include <tuple>
6#include <vector>
7
8// Forward declarations of any types needed in the operator signatures.
9// We can't directly include these classes because it will cause circular include dependencies.
10// This file is included by TensorBody.h, which defines the Tensor class.
11#include <ATen/core/ATen_fwd.h>
12
13namespace at {
14namespace _ops {
15
16
17struct TORCH_API conv_tbc_backward {
18 using schema = ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t);
19 using ptr_schema = schema*;
20 // See Note [static constexpr char* members for windows NVCC]
21 STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::conv_tbc_backward")
22 STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
23 STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "conv_tbc_backward(Tensor self, Tensor input, Tensor weight, Tensor bias, int pad) -> (Tensor, Tensor, Tensor)")
24 static ::std::tuple<at::Tensor,at::Tensor,at::Tensor> call(const at::Tensor & self, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & bias, int64_t pad);
25 static ::std::tuple<at::Tensor,at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & bias, int64_t pad);
26};
27
28}} // namespace at::_ops
29