#pragma once

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

#include <c10/core/Scalar.h>
#include <c10/core/Storage.h>
#include <c10/core/TensorOptions.h>
#include <c10/util/Deprecated.h>
#include <optional>
#include <c10/core/QScheme.h>
#include <ATen/core/Reduction.h>
#include <ATen/core/Tensor.h>
#include <tuple>
#include <vector>
#include <ATen/ops/mean_meta.h>

namespace at {
namespace native {
TORCH_API at::Tensor mean(const at::Tensor & self, ::std::optional<at::ScalarType> dtype=::std::nullopt);
TORCH_API at::Tensor & mean_dtype_out(const at::Tensor & self, ::std::optional<at::ScalarType> dtype, at::Tensor & out);
struct TORCH_API structured_mean_out : public at::meta::structured_mean_dim {
void impl(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, ::std::optional<at::ScalarType> dtype, const at::Tensor & out);
};
struct TORCH_API structured_mean_out_mps : public at::meta::structured_mean_dim {
void impl(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, ::std::optional<at::ScalarType> dtype, const at::Tensor & out);
};
TORCH_API at::Tensor mean_quantized_cpu(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, ::std::optional<at::ScalarType> dtype=::std::nullopt);
TORCH_API at::Tensor & mean_out_quantized_cpu(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, ::std::optional<at::ScalarType> dtype, at::Tensor & out);
TORCH_API at::Tensor mean(const at::Tensor & self, at::DimnameList dim, bool keepdim=false, ::std::optional<at::ScalarType> dtype=::std::nullopt);
TORCH_API at::Tensor & mean_out(const at::Tensor & self, at::DimnameList dim, bool keepdim, ::std::optional<at::ScalarType> dtype, at::Tensor & out);
} // namespace native
} // namespace at
