72 lines
2.3 KiB
C++
72 lines
2.3 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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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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* 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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// Created by Yurii Shyrma on 02.01.2018
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//
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#include <ops/declarable/helpers/stack.h>
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#include <helpers/ShapeUtils.h>
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#include <array/ResultSet.h>
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#include <execution/Threads.h>
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namespace nd4j {
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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 stack_(const std::vector<const NDArray*>& inArrs, NDArray* outArr, const int dim) {
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if(inArrs[0]->rankOf() == 0) {
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int inSize = inArrs.size();
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i += increment)
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outArr->p<T>(i, inArrs[i]->t<T>(0));
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};
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samediff::Threads::parallel_for(func, 0, inSize);
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}
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else {
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std::vector<int> dimsToExclude = ShapeUtils::evalDimsToExclude(outArr->rankOf(), {dim});
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auto list = outArr->allTensorsAlongDimension(dimsToExclude); // list.size() == block.width()
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int listSize = list->size();
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i += increment)
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list->at(i)->assign(inArrs[i]);
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};
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samediff::Threads::parallel_tad(func, 0, listSize);
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delete list;
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}
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}
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void stack(nd4j::LaunchContext * context, const std::vector<const NDArray*>& inArrs, NDArray* outArr, const int dim) {
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BUILD_SINGLE_SELECTOR(outArr->dataType(), stack_, (inArrs, outArr, dim), LIBND4J_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template void stack_ , (const std::vector<const NDArray*>& inArrs, NDArray* outArr, const int dim), LIBND4J_TYPES);
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}
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}
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}
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