wehub-resource-sync
54 lines
1.9 KiB
C++
54 lines
1.9 KiB
C++
// Copyright (c) 2022 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/eig_grad_kernel.h"
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#include "paddle/phi/kernels/cpu/eig.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void EigGradKernel(const Context& dev_ctx,
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const DenseTensor& out_w,
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const DenseTensor& out_v,
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const optional<DenseTensor>& dout_w,
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const optional<DenseTensor>& dout_v,
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DenseTensor* dx) {
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auto* dx_data = dev_ctx.template Alloc<dtype::Complex<T>>(dx);
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if (dx->numel() == 0) {
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return;
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}
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int batch_count = BatchCount(out_v);
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const int order = static_cast<int>(out_v.dims(-1));
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ComputeBackwardForComplexInput<dtype::Complex<T>, Context>(
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out_w, out_v, dout_w, dout_v, dx_data, batch_count, order, dev_ctx);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(eig_grad,
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CPU,
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ALL_LAYOUT,
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phi::EigGradKernel,
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float,
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double,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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kernel->InputAt(2).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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kernel->OutputAt(0).SetDataType(phi::dtype::ToComplex(kernel_key.dtype()));
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}
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