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 Shyrma Yurii (iuriish@yahoo.com), created on 16.11.2017
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_gather)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/gather.h>
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#include <ops/declarable/helpers/scatter.h>
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namespace sd {
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namespace ops {
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//////////////////////////////////////////////////////////////////////////
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CUSTOM_OP_IMPL(gather, 1, 1, false, 0, -2) {
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auto input = INPUT_VARIABLE(0);
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auto indices = block.width() > 1 ? INPUT_VARIABLE(1) : nullptr;
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auto output = OUTPUT_VARIABLE(0);
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const bool checkIndices = block.getBArguments()->empty() ? true : B_ARG(0);
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// Edge case: empty indices -> empty output
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if (indices != nullptr && indices->isEmpty()) {
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REQUIRE_TRUE(output->isEmpty(), 0, "Gather op: If indices are empty, output must also be empty");
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return sd::Status::OK; // No op
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}
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const sd::LongType numOfIntArgs = block.numI();
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std::vector<sd::LongType> intArgs;
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if (block.width() > 2) {
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intArgs = INPUT_VARIABLE(2)->template asVectorT<sd::LongType>();
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} else {
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if (numOfIntArgs == 0)
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intArgs.emplace_back(0);
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else
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for (sd::LongType i = 0; i < numOfIntArgs; i++) intArgs.emplace_back(block.getIArguments()->at(i));
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}
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const sd::LongType inputRank = input->rankOf();
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if (intArgs[0] < 0) intArgs[0] += inputRank;
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// input validation
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REQUIRE_TRUE(intArgs[0] < inputRank, 0,
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"GATHER op: input axis must be smaller than input array rank, but got %i and %i correspondingly!",
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intArgs[0], inputRank);
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REQUIRE_TRUE(indices != nullptr || numOfIntArgs > 1, 0,
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"GATHER op: indices should be provided either as additional input array or as IntArguments !");
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if (checkIndices) {
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NDArray* pIndices = indices;
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bool ownsIndices = false;
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if (indices == nullptr) {
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std::vector<sd::LongType> shape = {static_cast<sd::LongType>(intArgs.size()) - 1};
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std::vector<double> inputVec = std::vector<double>(intArgs.begin() + 1, intArgs.end());
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pIndices = new NDArray(input->ordering(), shape, inputVec, DataType::INT64, block.launchContext());
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ownsIndices = true;
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}
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const sd::LongType numOfBadIndx = helpers::checkIndices(block.launchContext(), *pIndices, *input, intArgs[0]);
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// FIXED: Cleanup BEFORE checking condition (REQUIRE_TRUE can throw)
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if (ownsIndices) {
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delete pIndices;
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pIndices = nullptr;
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}
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// Check condition after cleanup
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REQUIRE_TRUE(numOfBadIndx == 0, 0,
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"GATHER OP: please check elements of indices-array, total number of wrong elements is %lld!",
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numOfBadIndx);
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}
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helpers::gather(block.launchContext(), input, indices, output, intArgs);
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return sd::Status::OK;
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}
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DECLARE_TYPES(gather) {
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getOpDescriptor()->setAllowedInputTypes(0, {ALL_INTS, ALL_FLOATS});
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getOpDescriptor()->setAllowedInputTypes(1, {ALL_INTS,ALL_FLOATS});
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getOpDescriptor()->setAllowedOutputTypes(0, {ALL_INTS, ALL_FLOATS});
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}
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DECLARE_SHAPE_FN(gather) {
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// check shape of paddings
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auto inputShapeInfo = inputShape->at(0);
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sd::LongType* outputShapeInfo = nullptr;
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sd::LongType axis = 0;
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if (block.width() > 2) {
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axis = INPUT_VARIABLE(2)->e<sd::LongType>(0);
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} else
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axis = block.numI() > 0 ? block.getIArguments()->at(0) : 0;
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sd::LongType inputRank = shape::rank(inputShapeInfo);
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if (axis < 0) axis += inputRank;
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REQUIRE_TRUE(axis < inputRank, 0,
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"GATHER op: input axis must be smaller than input array rank, but got %i and %i correspondingly!", axis,
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inputRank);
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bool isEmpty = false;
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if (block.width() > 1) {
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auto indicesShapeInfo = inputShape->at(1);
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sd::LongType indicesRank = shape::rank(indicesShapeInfo);
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sd::LongType outputRank = inputRank + indicesRank - 1;
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ALLOCATE(outputShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outputRank), sd::LongType);
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// fill output shapeInfo
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outputShapeInfo[0] = outputRank;
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sd::LongType shapeIdx = 1;
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for (sd::LongType i = 0; i < axis; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i + 1];
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for (sd::LongType i = 0; i < indicesRank; ++i) outputShapeInfo[shapeIdx++] = indicesShapeInfo[i + 1];
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for (sd::LongType i = axis + 1; i < inputRank; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i + 1];
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} else if (block.numI() > 1) {
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int indicesRank = block.numI() == 2 ? 0 : 1;
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sd::LongType outputRank = inputRank + indicesRank - 1;
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ALLOCATE(outputShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outputRank), sd::LongType);
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// building shape manually
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outputShapeInfo[0] = outputRank;
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int shapeIdx = 1;
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for (sd::LongType i = 0; i < axis; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i + 1];
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if (block.numI() > 2) outputShapeInfo[shapeIdx++] = block.numI() - 1;
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for (sd::LongType i = axis + 1; i < inputRank; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i + 1];
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} else
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REQUIRE_TRUE(false, 0,
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"GATHER op: indices should be provided either as additional input array or as IntArguments !");
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ShapeUtils::updateStridesAndType(outputShapeInfo, inputShapeInfo, shape::order(inputShapeInfo));
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if (isEmpty) {
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ArrayOptions::setPropertyBit(outputShapeInfo, ARRAY_EMPTY);
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}
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auto result = ConstantShapeHelper::getInstance().bufferForShapeInfo(outputShapeInfo)->primary();
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RELEASE(outputShapeInfo, block.getWorkspace());
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return SHAPELIST(result);
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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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