121 lines
4.0 KiB
C++
121 lines
4.0 KiB
C++
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#pragma once
|
|
|
|
#include "paddle/phi/core/dense_tensor.h"
|
|
#include "paddle/phi/infermeta/unary.h"
|
|
#include "paddle/phi/kernels/empty_kernel.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void ConjKernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
void RealKernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
void ImagKernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
void ComplexKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const DenseTensor& y,
|
|
DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
void RealStridedKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
DenseTensor* out);
|
|
|
|
template <typename T, typename Context>
|
|
void ImagStridedKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
DenseTensor* out);
|
|
|
|
// If T is complex
|
|
template <typename T,
|
|
typename Context,
|
|
std::enable_if_t<std::is_same<T, phi::complex64>::value ||
|
|
std::is_same<T, phi::complex128>::value,
|
|
bool> = true>
|
|
DenseTensor Conj(const Context& dev_ctx, const DenseTensor& x) {
|
|
DenseTensor dense_out;
|
|
MetaTensor meta_out(&dense_out);
|
|
UnchangedInferMeta(x, &meta_out);
|
|
ConjKernel<T>(dev_ctx, x, &dense_out);
|
|
return dense_out;
|
|
}
|
|
|
|
// If T is not complex
|
|
template <typename T,
|
|
typename Context,
|
|
std::enable_if_t<!std::is_same<T, phi::complex64>::value &&
|
|
!std::is_same<T, phi::complex128>::value,
|
|
bool> = true>
|
|
DenseTensor Conj(const Context& dev_ctx UNUSED, const DenseTensor& x) {
|
|
return x;
|
|
}
|
|
|
|
// If T is complex
|
|
template <typename T,
|
|
typename Context,
|
|
std::enable_if_t<std::is_same<T, phi::complex64>::value ||
|
|
std::is_same<T, phi::complex128>::value,
|
|
bool> = true>
|
|
DenseTensor Real(const Context& dev_ctx, const DenseTensor& x) {
|
|
DenseTensor dense_out;
|
|
MetaTensor meta_out(&dense_out);
|
|
RealAndImagInferMeta(x, &meta_out);
|
|
RealKernel<T>(dev_ctx, x, &dense_out);
|
|
return dense_out;
|
|
}
|
|
|
|
// If T is not complex
|
|
template <typename T,
|
|
typename Context,
|
|
std::enable_if_t<!std::is_same<T, phi::complex64>::value &&
|
|
!std::is_same<T, phi::complex128>::value,
|
|
bool> = true>
|
|
DenseTensor Real(const Context& dev_ctx, const DenseTensor& x) {
|
|
return x;
|
|
}
|
|
|
|
// If T is complex
|
|
template <typename T,
|
|
typename Context,
|
|
std::enable_if_t<std::is_same<T, phi::complex64>::value ||
|
|
std::is_same<T, phi::complex128>::value,
|
|
bool> = true>
|
|
DenseTensor Imag(const Context& dev_ctx, const DenseTensor& x) {
|
|
DenseTensor dense_out;
|
|
MetaTensor meta_out(&dense_out);
|
|
RealAndImagInferMeta(x, &meta_out);
|
|
ImagKernel<T>(dev_ctx, x, &dense_out);
|
|
return dense_out;
|
|
}
|
|
|
|
// If T is not complex
|
|
template <typename T,
|
|
typename Context,
|
|
std::enable_if_t<!std::is_same<T, phi::complex64>::value &&
|
|
!std::is_same<T, phi::complex128>::value,
|
|
bool> = true>
|
|
DenseTensor Imag(const Context& dev_ctx, const DenseTensor& x) {
|
|
return x;
|
|
}
|
|
|
|
} // namespace phi
|