40 lines
1.2 KiB
C++
40 lines
1.2 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/geqrf_ops.h>
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namespace at {
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// aten::geqrf.a(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) a, Tensor(b!) tau)
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inline ::std::tuple<at::Tensor &,at::Tensor &> geqrf_out(at::Tensor & a, at::Tensor & tau, const at::Tensor & self) {
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return at::_ops::geqrf_a::call(self, a, tau);
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}
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// aten::geqrf.a(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) a, Tensor(b!) tau)
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inline ::std::tuple<at::Tensor &,at::Tensor &> geqrf_outf(const at::Tensor & self, at::Tensor & a, at::Tensor & tau) {
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return at::_ops::geqrf_a::call(self, a, tau);
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}
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// aten::geqrf(Tensor self) -> (Tensor a, Tensor tau)
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inline ::std::tuple<at::Tensor,at::Tensor> geqrf(const at::Tensor & self) {
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return at::_ops::geqrf::call(self);
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}
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}
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