wehub-resource-sync
60 lines
1.9 KiB
C++
60 lines
1.9 KiB
C++
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author Yurii Shyrma (iuriish@yahoo.com)
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_sqrtm)
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#include <helpers/Sqrtm.h>
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#include <ops/declarable/CustomOperations.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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template <typename T>
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static void sqrtm_(NDArray* x, NDArray* z) {
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if (x->rankOf() == 2) {
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Sqrtm<T>::calc(*x, *z);
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} else {
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auto listX = x->allTensorsAlongDimension({-2, -1});
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auto listZ = z->allTensorsAlongDimension({-2, -1});
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i++) Sqrtm<T>::calc(*listX.at(i), *listZ.at(i));
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};
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samediff::Threads::parallel_tad(func, 0, listX.size());
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}
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}
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//////////////////////////////////////////////////////////////////////////
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void sqrtm(LaunchContext* context, NDArray* x, NDArray* z) {
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x->syncToHost();
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BUILD_SINGLE_SELECTOR(z->dataType(), sqrtm_, (x, z), SD_FLOAT_TYPES);
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z->syncToDevice();
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}
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif |