#pragma once
// @generated by torchgen/gen.py from Operator.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.
#include <ATen/core/ATen_fwd.h>
namespace at {
namespace _ops {
struct TORCH_API pad {
using schema = at::Tensor (const at::Tensor &, c10::SymIntArrayRef, c10::string_view, c10::optional<double>);
using ptr_schema = schema*;
// See Note [static constexpr char* members for windows NVCC]
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::pad")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "pad(Tensor self, SymInt[] pad, str mode=\"constant\", float? value=None) -> Tensor")
static at::Tensor call(const at::Tensor & self, c10::SymIntArrayRef pad, c10::string_view mode, c10::optional<double> value);
static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef pad, c10::string_view mode, c10::optional<double> value);
};
}} // namespace at::_ops