#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 std_mean {
  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, bool);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::std_mean";
  static constexpr const char* overload_name = "";
  static constexpr const char* schema_str = "std_mean(Tensor self, bool unbiased=True) -> (Tensor, Tensor)";
  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, bool unbiased);
  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased);
};

struct TORCH_API std_mean_dim {
  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, bool, bool);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::std_mean";
  static constexpr const char* overload_name = "dim";
  static constexpr const char* schema_str = "std_mean.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)";
  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim);
  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim);
};

struct TORCH_API std_mean_correction {
  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::std_mean";
  static constexpr const char* overload_name = "correction";
  static constexpr const char* schema_str = "std_mean.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)";
  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, at::OptionalIntArrayRef dim, const ::std::optional<at::Scalar> & correction, bool keepdim);
  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, const ::std::optional<at::Scalar> & correction, bool keepdim);
};

struct TORCH_API std_mean_names_dim {
  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, bool, bool);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::std_mean";
  static constexpr const char* overload_name = "names_dim";
  static constexpr const char* schema_str = "std_mean.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)";
  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim);
  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim);
};

struct TORCH_API std_mean_correction_names {
  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::std_mean";
  static constexpr const char* overload_name = "correction_names";
  static constexpr const char* schema_str = "std_mean.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)";
  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, at::DimnameList dim, const ::std::optional<at::Scalar> & correction, bool keepdim);
  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, const ::std::optional<at::Scalar> & correction, bool keepdim);
};

struct TORCH_API std_mean_correction_out {
  using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &, at::Tensor &);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::std_mean";
  static constexpr const char* overload_name = "correction_out";
  static constexpr const char* schema_str = "std_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))";
  static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & self, at::OptionalIntArrayRef dim, const ::std::optional<at::Scalar> & correction, bool keepdim, at::Tensor & out0, at::Tensor & out1);
  static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, const ::std::optional<at::Scalar> & correction, bool keepdim, at::Tensor & out0, at::Tensor & out1);
};

}} // namespace at::_ops