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74 lines
3.5 KiB
74 lines
3.5 KiB
#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
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#pragma once
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// @generated by torchgen/gen.py from Function.h
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#include <ATen/Context.h>
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#include <ATen/DeviceGuard.h>
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#include <ATen/TensorUtils.h>
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#include <ATen/TracerMode.h>
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#include <ATen/core/Generator.h>
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#include <ATen/core/Reduction.h>
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#include <ATen/core/Tensor.h>
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#include <c10/core/Scalar.h>
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#include <c10/core/Storage.h>
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#include <c10/core/TensorOptions.h>
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#include <c10/util/Deprecated.h>
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#include <optional>
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#include <string_view>
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#include <ATen/ops/mean_ops.h>
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namespace at {
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// aten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensor
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inline at::Tensor mean(const at::Tensor & self, ::std::optional<at::ScalarType> dtype=::std::nullopt) {
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return at::_ops::mean::call(self, dtype);
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}
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// aten::mean.dtype_out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & mean_out(at::Tensor & out, const at::Tensor & self, ::std::optional<at::ScalarType> dtype=::std::nullopt) {
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return at::_ops::mean_dtype_out::call(self, dtype, out);
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}
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// aten::mean.dtype_out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & mean_outf(const at::Tensor & self, ::std::optional<at::ScalarType> dtype, at::Tensor & out) {
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return at::_ops::mean_dtype_out::call(self, dtype, out);
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}
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// aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
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inline at::Tensor mean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, ::std::optional<at::ScalarType> dtype=::std::nullopt) {
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return at::_ops::mean_dim::call(self, dim, keepdim, dtype);
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}
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// aten::mean.out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & mean_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, ::std::optional<at::ScalarType> dtype=::std::nullopt) {
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return at::_ops::mean_out::call(self, dim, keepdim, dtype, out);
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}
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// aten::mean.out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & mean_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, ::std::optional<at::ScalarType> dtype, at::Tensor & out) {
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return at::_ops::mean_out::call(self, dim, keepdim, dtype, out);
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}
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// aten::mean.names_dim(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
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inline at::Tensor mean(const at::Tensor & self, at::DimnameList dim, bool keepdim=false, ::std::optional<at::ScalarType> dtype=::std::nullopt) {
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return at::_ops::mean_names_dim::call(self, dim, keepdim, dtype);
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}
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// aten::mean.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & mean_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, ::std::optional<at::ScalarType> dtype=::std::nullopt) {
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return at::_ops::mean_names_out::call(self, dim, keepdim, dtype, out);
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}
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// aten::mean.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & mean_outf(const at::Tensor & self, at::DimnameList dim, bool keepdim, ::std::optional<at::ScalarType> dtype, at::Tensor & out) {
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return at::_ops::mean_names_out::call(self, dim, keepdim, dtype, out);
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}
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}
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#else
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#error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined."
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#endif // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
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