wehub-resource-sync
72 lines
2.5 KiB
C++
72 lines
2.5 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 sgazeos@gmail.com
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//
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#include <execution/Threads.h>
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#include <helpers/ConstantTadHelper.h>
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#include <helpers/ShapeUtils.h>
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#include <ops/declarable/helpers/nth_element.h>
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#include <system/selective_rendering.h>
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#include "ops/specials.h"
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#if NOT_EXCLUDED(OP_nth_element)
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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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void nthElementFunctor_(NDArray* input, sd::LongType n, NDArray* output, bool reverse) {
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NDArray sortedVals(*input);
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if (input->isVector()) {
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SpecialMethods<T>::sortGeneric(input, reverse);
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output->p(0, input->e<T>(n));
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} else { // rank greater than 1
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std::vector<sd::LongType> lastDims(
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{input->rankOf() - 1});
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SpecialMethods<T>::sortTadGeneric(&sortedVals, lastDims.data(), lastDims.size(),
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reverse);
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ResultSet rows = sortedVals.allTensorsAlongDimension(lastDims);
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sd::LongType oL = output->lengthOf();
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auto func = PRAGMA_THREADS_FOR {
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for (auto e = start; e < stop; e++) {
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auto row = rows.at(e);
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output->p(e, row->e<T>(n));
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}
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};
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samediff::Threads::parallel_for(func, 0, oL);
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}
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}
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void nthElementFunctor(sd::LaunchContext* launchContext, NDArray* input, sd::LongType n, NDArray* output,
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bool reverse) {
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auto inputDType = input->dataType();
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BUILD_SINGLE_SELECTOR(input->dataType(), nthElementFunctor_, (input, n, output, reverse), SD_NUMERIC_TYPES);
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}
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BUILD_SINGLE_TEMPLATE( void nthElementFunctor_,
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(NDArray * input, sd::LongType n, NDArray* output, bool reverse), SD_NUMERIC_TYPES);
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif |