ai-content-maker/.venv/Lib/site-packages/torch/include/ATen/ops/qr.h

40 lines
1.2 KiB
C++

#pragma once
// @generated by torchgen/gen.py from Function.h
#include <ATen/Context.h>
#include <ATen/DeviceGuard.h>
#include <ATen/TensorUtils.h>
#include <ATen/TracerMode.h>
#include <ATen/core/Generator.h>
#include <ATen/core/Reduction.h>
#include <ATen/core/Tensor.h>
#include <c10/core/Scalar.h>
#include <c10/core/Storage.h>
#include <c10/core/TensorOptions.h>
#include <c10/util/Deprecated.h>
#include <c10/util/Optional.h>
#include <ATen/ops/qr_ops.h>
namespace at {
// aten::qr.Q(Tensor self, bool some=True, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R)
inline ::std::tuple<at::Tensor &,at::Tensor &> qr_out(at::Tensor & Q, at::Tensor & R, const at::Tensor & self, bool some=true) {
return at::_ops::qr_Q::call(self, some, Q, R);
}
// aten::qr.Q(Tensor self, bool some=True, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R)
inline ::std::tuple<at::Tensor &,at::Tensor &> qr_outf(const at::Tensor & self, bool some, at::Tensor & Q, at::Tensor & R) {
return at::_ops::qr_Q::call(self, some, Q, R);
}
// aten::qr(Tensor self, bool some=True) -> (Tensor Q, Tensor R)
inline ::std::tuple<at::Tensor,at::Tensor> qr(const at::Tensor & self, bool some=true) {
return at::_ops::qr::call(self, some);
}
}