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