68 lines
3.2 KiB
C++
68 lines
3.2 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/nanmedian_ops.h>
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namespace at {
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// aten::nanmedian(Tensor self) -> Tensor
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inline at::Tensor nanmedian(const at::Tensor & self) {
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return at::_ops::nanmedian::call(self);
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}
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// aten::nanmedian.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices)
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inline ::std::tuple<at::Tensor,at::Tensor> nanmedian(const at::Tensor & self, int64_t dim, bool keepdim=false) {
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return at::_ops::nanmedian_dim::call(self, dim, keepdim);
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}
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// aten::nanmedian.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim, bool keepdim=false) {
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return at::_ops::nanmedian_dim_values::call(self, dim, keepdim, values, indices);
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}
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// aten::nanmedian.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
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return at::_ops::nanmedian_dim_values::call(self, dim, keepdim, values, indices);
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}
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// aten::nanmedian.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
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inline ::std::tuple<at::Tensor,at::Tensor> nanmedian(const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
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return at::_ops::nanmedian_names_dim::call(self, dim, keepdim);
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}
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// aten::nanmedian.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
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return at::_ops::nanmedian_names_dim_values::call(self, dim, keepdim, values, indices);
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}
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// aten::nanmedian.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) {
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return at::_ops::nanmedian_names_dim_values::call(self, dim, keepdim, values, indices);
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}
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// aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & nanmedian_out(at::Tensor & out, const at::Tensor & self) {
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return at::_ops::nanmedian_out::call(self, out);
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}
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// aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & nanmedian_outf(const at::Tensor & self, at::Tensor & out) {
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return at::_ops::nanmedian_out::call(self, out);
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}
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}
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