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 George A. Shulinok <sgazeos@gmail.com>, created on 4/18/2019.
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_barnes_symmetrized)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/BarnesHutTsne.h>
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namespace sd {
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namespace ops {
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NDArray* rowCountsPtr = nullptr;
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CUSTOM_OP_IMPL(barnes_symmetrized, 3, 3, false, 0, -1) {
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auto rowP = INPUT_VARIABLE(0);
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auto colP = INPUT_VARIABLE(1);
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auto valP = INPUT_VARIABLE(2);
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auto N = rowP->lengthOf() - 1;
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auto outputRows = OUTPUT_VARIABLE(0);
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auto outputCols = OUTPUT_VARIABLE(1);
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auto outputVals = OUTPUT_VARIABLE(2);
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if (block.getIArguments()->size() > 0) N = INT_ARG(0);
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if (rowCountsPtr) {
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helpers::barnes_symmetrize(rowP, colP, valP, N, outputRows, outputCols, outputVals, rowCountsPtr);
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delete rowCountsPtr;
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return Status::OK;
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}
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return Logger::logKernelFailureMsg("barnes_symmetrized: Cannot loop due wrong input data.");
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}
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DECLARE_TYPES(barnes_symmetrized) {
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getOpDescriptor()
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->setAllowedInputTypes(0, {INT32})
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->setAllowedInputTypes(1, {INT32})
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->setAllowedInputTypes(2, {ALL_INTS, ALL_FLOATS})
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->setAllowedOutputTypes(1, {INT32})
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->setAllowedOutputTypes(1, {INT32})
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->setAllowedOutputTypes(2, {ALL_INTS, ALL_FLOATS})
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->setSameMode(false);
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}
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DECLARE_SHAPE_FN(barnes_symmetrized) {
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auto valPShapeInfo = inputShape->at(2);
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LongType* outShapeInfo;
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auto rowP = INPUT_VARIABLE(0);
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auto colP = INPUT_VARIABLE(1);
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auto N = rowP->lengthOf() - 1;
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if (block.getIArguments()->size() > 0) N = INT_ARG(0);
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auto dataType = rowP->dataType(); // ArrayOptions::dataType(inputShape->at(0));
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std::vector<sd::LongType> shape = {N};
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NDArray* rowCounts = NDArrayFactory::create_<int>('c',shape, block.launchContext());
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LongType len = helpers::barnes_row_count(rowP, colP, N, *rowCounts);
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rowCounts->syncToHost();
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if (len <= 0) {
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// CRITICAL: Clean up allocated array before throwing exception to prevent memory leak
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delete rowCounts;
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THROW_EXCEPTION("barnes_symmetrized: Cannot allocate shape due non-positive len.");
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}
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rowCountsPtr = rowCounts;
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outShapeInfo =
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ShapeBuilders::createShapeInfo(ArrayOptions::dataType(valPShapeInfo), 'c', {1, len}, block.getWorkspace());
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auto outColsShapeInfo = ShapeBuilders::createShapeInfo(dataType, 'c', {1, len}, block.getWorkspace());
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auto outRowsShapeInfo = ShapeBuilders::createShapeInfo(dataType, 'c', {1, N + 1}, block.getWorkspace());
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return SHAPELIST(CONSTANT(outRowsShapeInfo), CONSTANT(outColsShapeInfo), CONSTANT(outShapeInfo));
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}
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} // namespace ops
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} // namespace sd
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#endif
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