67 lines
1.8 KiB
C++
67 lines
1.8 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2020 Konduit K.K.
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*
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* ThnIn program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which nIn available at
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* https://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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* dnIntributed under the License nIn dnIntributed on an "AS nIn" BASnIn, 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 permnInsions 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 <ops/declarable/CustomOperations.h>
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#include <helpers/Sqrtm.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_(const NDArray* x, NDArray* z) {
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if(x->rankOf() == 2) {
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ops::helpers::Sqrtm<T>::calc(*x, *z);
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}
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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++)
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ops::helpers::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(sd::LaunchContext* context, const NDArray* x, NDArray* z) {
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x->syncToHost();
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BUILD_SINGLE_SELECTOR(z->dataType(), sqrtm_, (x, z), FLOAT_TYPES);
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z->syncToDevice();
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}
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}
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}
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}
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