50 lines
1.7 KiB
C++
50 lines
1.7 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), created on 20.04.2018
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//
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#include <ops/declarable/helpers/transforms.h>
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#include <helpers/Loops.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 trace_(const NDArray& input, NDArray& output) {
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const int inRank = input.rankOf();
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auto setOfSubArrs = input.allTensorsAlongDimension({inRank-2, inRank-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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output.p(i, setOfSubArrs.at(i)->getTrace());
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};
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samediff::Threads::parallel_for(func, 0, setOfSubArrs.size());
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}
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void trace(sd::LaunchContext * context, const NDArray& input, NDArray& output) {
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BUILD_SINGLE_SELECTOR(input.dataType(), trace_, (input, output), LIBND4J_TYPES);
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}
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}
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}
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}
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