40 lines
1.5 KiB
C++
40 lines
1.5 KiB
C++
#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 <c10/util/Optional.h>
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#include <ATen/ops/nansum_ops.h>
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namespace at {
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// aten::nansum(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
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inline at::Tensor nansum(const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
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return at::_ops::nansum::call(self, dim, keepdim, dtype);
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}
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// aten::nansum.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & nansum_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
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return at::_ops::nansum_out::call(self, dim, keepdim, dtype, out);
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}
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// aten::nansum.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & nansum_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
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return at::_ops::nansum_out::call(self, dim, keepdim, dtype, out);
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}
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}
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