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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// @author sgazeos@gmail.com
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//
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#include <ops/declarable/helpers/axis.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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void adjustAxis(sd::LongType rank, NDArray* axisVector, std::vector<LongType>& output) {
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if(axisVector->isScalar()) {
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output.resize(1);
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auto ca = axisVector->e<sd::LongType>(0);
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if (ca < 0) // shift values on rank for negative vals
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ca += rank;
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output[0] = ca;
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return;
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}
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output.resize(axisVector->lengthOf());
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axisVector->tickReadDevice(); // mark input as read on device
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axisVector->syncToHost(); // sync to host
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for (int e = 0; e < axisVector->lengthOf(); e++) {
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auto ca = axisVector->e<sd::LongType>(e);
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if (ca < 0) // shift values on rank for negative vals
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ca += rank;
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output[e] = ca;
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}
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}
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void adjustAxis(sd::LongType rank, std::vector<LongType>& axisVector) {
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for (size_t e = 0; e < axisVector.size(); e++) {
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auto a = axisVector[e];
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if (a < 0) axisVector[e] = a + rank;
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}
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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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