#pragma once

// @generated by tools/codegen/gen.py from Operator.h

#include <c10/core/QScheme.h>
#include <tuple>
#include <vector>


// Forward declarations of any types needed in the operator signatures.
// We can't directly include these classes because it will cause circular include dependencies.
// This file is included by TensorBody.h, which defines the Tensor class.
namespace c10 {

template<typename T>
class optional;
template<typename T>
class List;
class Stream;
class Scalar;
struct Storage;
struct TensorOptions;

}

namespace at {

class Tensor;
struct Dimname;
struct Generator;
using TensorList = c10::ArrayRef<Tensor>;
using DimnameList = c10::ArrayRef<Dimname>;
using c10::Stream;
using c10::Storage;
using c10::QScheme;
using c10::Scalar;
using c10::TensorOptions;

namespace _ops {


struct TORCH_API mkldnn_max_pool3d_backward {
  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::mkldnn_max_pool3d_backward")
  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor")
  static at::Tensor call(const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode);
  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode);
};

}} // namespace at::_ops
