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paddlepaddle--paddle/paddle/phi/kernels/xpu/as_complex_kernel.cc
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2025 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.
#ifdef PADDLE_WITH_XPU_FFT
#include "paddle/phi/kernels/as_complex_kernel.h"
#include "paddle/phi/common/type_traits.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/tensor_utils.h"
namespace phi {
template <typename T, typename Context>
void AsComplexKernel(const Context& dev_ctx,
const DenseTensor& x,
DenseTensor* out) {
dev_ctx.template Alloc<phi::dtype::complex<T>>(out);
auto out_dims_original = out->dims();
Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
out->Resize(out_dims_original); // restored the shape.
out->set_type(
phi::CppTypeToDataType<phi::dtype::complex<T>>::Type()); // restored the
// dtype.
}
} // namespace phi
PD_REGISTER_KERNEL(
as_complex, XPU, ALL_LAYOUT, phi::AsComplexKernel, float, double) {
kernel->OutputAt(0).SetDataType(phi::dtype::ToComplex(kernel_key.dtype()));
}
#endif // PADDLE_WITH_XPU_FFT