#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 stack {
using schema = at::Tensor (at::TensorList, int64_t);
using ptr_schema = schema*;
// See Note [static constexpr char* members for windows NVCC]
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::stack")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "stack(Tensor[] tensors, int dim=0) -> Tensor")
static at::Tensor call(at::TensorList tensors, int64_t dim);
static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim);
};
struct TORCH_API stack_out {
using schema = at::Tensor & (at::TensorList, int64_t, at::Tensor &);
using ptr_schema = schema*;
// See Note [static constexpr char* members for windows NVCC]
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::stack")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!)")
static at::Tensor & call(at::TensorList tensors, int64_t dim, at::Tensor & out);
static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out);
};
}} // namespace at::_ops