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