wehub-resource-sync
55 lines
1.8 KiB
Plaintext
55 lines
1.8 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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#ifndef PADDLE_WITH_HIP
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// HIP not support cusolver
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#include "paddle/phi/kernels/matrix_rank_kernel.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/matrix_rank_tol_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void MatrixRankKernel(const Context& dev_ctx,
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const DenseTensor& x,
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float tol,
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bool use_default_tol,
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bool hermitian,
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DenseTensor* out) {
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DenseTensor atol_tensor;
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if (use_default_tol) {
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atol_tensor = Full<T, Context>(dev_ctx, {1}, static_cast<T>(0));
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} else {
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atol_tensor = Full<T, Context>(dev_ctx, {1}, static_cast<T>(tol));
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}
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MatrixRankTolKernel<T, Context>(
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dev_ctx, x, atol_tensor, use_default_tol, hermitian, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(matrix_rank, // cuda_only
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GPU,
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ALL_LAYOUT,
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phi::MatrixRankKernel,
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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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#endif // not PADDLE_WITH_HIP
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