wehub-resource-sync
141 lines
4.6 KiB
C++
141 lines
4.6 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/complex_kernel.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/common/type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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COMMON_DECLARE_bool(use_stride_kernel);
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namespace phi {
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template <typename T, typename Context>
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void RealStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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if (out->numel() == 0) {
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dev_ctx.template Alloc<phi::dtype::Real<T>>(out);
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return;
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}
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if (!FLAGS_use_stride_kernel) {
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PADDLE_THROW(common::errors::Fatal(
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"FLAGS_use_stride_kernel is closed. Strided kernel "
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"be called, something wrong has happened!"));
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}
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if (x.dtype() != DataType::COMPLEX64 && x.dtype() != DataType::COMPLEX128) {
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PADDLE_THROW(
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common::errors::NotFound("paddle.real only support COMPLEX64 and "
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"COMPLEX128, but the input dtype is %s",
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x.dtype()));
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}
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DDim stride = x.strides();
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for (int i = 0; i < stride.size(); i++) {
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stride[i] = x.strides()[i] * 2;
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}
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out->set_offset(x.offset());
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out->set_strides(stride);
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out->ResetHolder(x.Holder());
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out->ShareInplaceVersionCounterWith(x);
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}
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template <typename T, typename Context>
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void ImagStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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if (out->numel() == 0) {
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dev_ctx.template Alloc<phi::dtype::Real<T>>(out);
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return;
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}
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if (!FLAGS_use_stride_kernel) {
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PADDLE_THROW(common::errors::Fatal(
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"FLAGS_use_stride_kernel is closed. Strided kernel "
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"be called, something wrong has happened!"));
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}
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if (x.dtype() != DataType::COMPLEX64 && x.dtype() != DataType::COMPLEX128) {
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PADDLE_THROW(
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common::errors::NotFound("paddle.imag only support COMPLEX64 and "
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"COMPLEX128, but the input dtype is %s",
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x.dtype()));
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}
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DDim stride = x.strides();
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for (int i = 0; i < stride.size(); i++) {
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stride[i] = x.strides()[i] * 2;
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}
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out->set_strides(stride);
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out->set_offset(x.offset() + phi::SizeOf(out->dtype()));
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out->ResetHolder(x.Holder());
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out->ShareInplaceVersionCounterWith(x);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(real,
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CPU,
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STRIDED,
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phi::RealStridedKernel,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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PD_REGISTER_KERNEL(imag,
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CPU,
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STRIDED,
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phi::ImagStridedKernel,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(real,
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GPU,
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STRIDED,
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phi::RealStridedKernel,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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PD_REGISTER_KERNEL(imag,
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GPU,
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STRIDED,
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phi::ImagStridedKernel,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#endif
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#if defined(PADDLE_WITH_CUSTOM_DEVICE) && !defined(PADDLE_WITH_CUDA)
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PD_REGISTER_KERNEL(real,
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Custom,
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STRIDED,
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phi::RealStridedKernel,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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PD_REGISTER_KERNEL(imag,
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Custom,
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STRIDED,
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phi::ImagStridedKernel,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#endif
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