wehub-resource-sync
61 lines
2.0 KiB
Plaintext
61 lines
2.0 KiB
Plaintext
// 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/eigh_kernel.h"
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#include "paddle/phi/common/data_type.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/complex_functors.h"
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#include "paddle/phi/kernels/funcs/values_vectors_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void EighKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::string& uplo,
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DenseTensor* out_w,
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DenseTensor* out_v) {
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if (x.numel() == 0) {
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auto x_dim = x.dims();
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auto w_dim = slice_ddim(x_dim, 0, x_dim.size() - 1);
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out_w->Resize(w_dim);
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out_v->Resize(x_dim);
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dev_ctx.template Alloc<T>(out_w);
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dev_ctx.template Alloc<T>(out_v);
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return;
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}
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bool is_lower = (uplo == "L");
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funcs::MatrixEighFunctor<Context, T> functor;
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functor(dev_ctx, x, out_w, out_v, is_lower, true);
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}
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} // namespace phi
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#ifdef PADDLE_WITH_HIP
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PD_REGISTER_KERNEL(eigh, GPU, ALL_LAYOUT, phi::EighKernel, float, double) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#else
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PD_REGISTER_KERNEL(eigh,
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GPU,
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ALL_LAYOUT,
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phi::EighKernel,
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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->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#endif
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