#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
#pragma once

// @generated by torchgen/gen.py from Operator.h

#include <string_view>
#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 view {
  using schema = at::Tensor (const at::Tensor &, c10::SymIntArrayRef);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::view";
  static constexpr const char* overload_name = "";
  static constexpr const char* schema_str = "view(Tensor(a) self, SymInt[] size) -> Tensor(a)";
  static at::Tensor call(const at::Tensor & self, c10::SymIntArrayRef size);
  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size);
};

struct TORCH_API view_dtype {
  using schema = at::Tensor (const at::Tensor &, at::ScalarType);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::view";
  static constexpr const char* overload_name = "dtype";
  static constexpr const char* schema_str = "view.dtype(Tensor(a) self, ScalarType dtype) -> Tensor(a)";
  static at::Tensor call(const at::Tensor & self, at::ScalarType dtype);
  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype);
};

}} // namespace at::_ops

#endif  // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
