chore: import upstream snapshot with attribution
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/* ******************************************************************************
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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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// Created by raver119 on 24/09/18.
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//
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#include <array/NDArrayList.h>
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_Where)
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#include <ops/declarable/helpers/where.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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template <typename T>
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static void __where(NDArray &condition, NDArray &output, memory::Workspace *workspace) {
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NDArrayList list(0, true);
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sd::LongType cnt = 0;
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for (sd::LongType e = 0; e < condition.lengthOf(); e++) {
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sd::LongType coords[SD_MAX_RANK];
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INDEX2COORDS(e, condition.rankOf(), condition.shapeOf(), coords);
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sd::LongType offset;
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COORDS2INDEX(condition.rankOf(), shape::stride(condition.shapeInfo()), coords, offset);
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if (condition.e<bool>(offset)) {
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std::vector<sd::LongType> arrShape = {1, condition.rankOf()};
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auto array = NDArrayFactory::create_('c', arrShape, output.dataType(), output.getContext());
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for (sd::LongType f = 0; f < condition.rankOf(); f++) {
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array->p(f, (T)coords[f]);
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}
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list.write(cnt++, array);
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}
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}
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auto s = list.stack();
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output.assign(s);
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delete s;
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}
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BUILD_SINGLE_TEMPLATE( void __where, (NDArray & condition, NDArray &output, memory::Workspace *workspace),
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SD_COMMON_TYPES);
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void _where(sd::LaunchContext *context, NDArray &condition, NDArray &output, memory::Workspace *workspace) {
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condition.syncToHost();
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BUILD_SINGLE_SELECTOR(output.dataType(), __where, (condition, output, workspace), SD_COMMON_TYPES);
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output.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
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