/* ****************************************************************************** * * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://www.apache.org/licenses/LICENSE-2.0. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations * under the License. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author Shyrma Yurii (iuriish@yahoo.com), created on 16.11.2017 // #include #if NOT_EXCLUDED(OP_gather) #include #include #include namespace sd { namespace ops { ////////////////////////////////////////////////////////////////////////// CUSTOM_OP_IMPL(gather, 1, 1, false, 0, -2) { auto input = INPUT_VARIABLE(0); auto indices = block.width() > 1 ? INPUT_VARIABLE(1) : nullptr; auto output = OUTPUT_VARIABLE(0); const bool checkIndices = block.getBArguments()->empty() ? false : B_ARG(0); //Edge case: empty indices -> empty output if(indices != nullptr && indices->isEmpty()){ REQUIRE_TRUE(output->isEmpty(), 0, "Gather op: If indices are empty, output must also be empty"); return Status::OK(); //No op } const int numOfIntArgs = block.numI(); std::vector intArgs; if (block.width() > 2) { intArgs = INPUT_VARIABLE(2)->template asVectorT(); } else { if (numOfIntArgs == 0) intArgs.emplace_back(0); else for (int i = 0; i < numOfIntArgs; ++i) intArgs.emplace_back(block.getIArguments()->at(i)); } const int inputRank = input->rankOf(); if(intArgs[0] < 0) intArgs[0] += inputRank; // input validation REQUIRE_TRUE(intArgs[0] < inputRank, 0, "GATHER op: input axis must be smaller than input array rank, but got %i and %i correspondingly!", intArgs[0], inputRank); REQUIRE_TRUE(indices != nullptr || numOfIntArgs > 1, 0, "GATHER op: indices should be provided either as additional input array or as IntArguments !"); if(checkIndices) { NDArray* pIndices = indices; if(indices == nullptr) pIndices = new NDArray(input->ordering(), {static_cast(intArgs.size()) - 1}, std::vector(intArgs.begin() + 1, intArgs.end()), DataType::INT64, block.launchContext()); const Nd4jLong numOfBadIndx = helpers::checkIndices(block.launchContext(), *pIndices, *input, intArgs[0]); REQUIRE_TRUE(numOfBadIndx == 0, 0, "GATHER OP: please check elements of indices-array, total number of wrong elements is %lld!", numOfBadIndx); if(indices == nullptr) delete pIndices; } helpers::gather(block.launchContext(), input, indices, output, intArgs); return Status::OK(); } DECLARE_TYPES(gather) { getOpDescriptor()->setAllowedInputTypes(0, {ALL_INTS, ALL_FLOATS}); getOpDescriptor()->setAllowedInputTypes(1, {ALL_INTS}); getOpDescriptor()->setAllowedOutputTypes(0, {ALL_INTS, ALL_FLOATS}); } DECLARE_SHAPE_FN(gather) { // check shape of paddings auto inputShapeInfo = inputShape->at(0); Nd4jLong* outputShapeInfo = nullptr; int axis = 0; if (block.width() > 2) { axis = INPUT_VARIABLE(2)->e(0); } else axis = block.numI() > 0 ? block.getIArguments()->at(0) : 0; int inputRank = shape::rank(inputShapeInfo); if(axis < 0) axis += inputRank; REQUIRE_TRUE(axis < inputRank, 0, "GATHER op: input axis must be smaller than input array rank, but got %i and %i correspondingly!", axis, inputRank); bool isEmpty = false; if (block.width() > 1) { auto indicesShapeInfo = inputShape->at(1); int indicesRank = shape::rank(indicesShapeInfo); int outputRank = inputRank + indicesRank - 1; ALLOCATE(outputShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outputRank), Nd4jLong); // fill output shapeInfo outputShapeInfo[0] = outputRank; int shapeIdx = 1; for(int i = 0; i < axis; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i+1]; for(int i = 0; i < indicesRank; ++i) outputShapeInfo[shapeIdx++] = indicesShapeInfo[i+1]; for(int i = axis+1; i < inputRank; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i+1]; } else if (block.numI() > 1) { int indicesRank = block.numI() == 2 ? 0 : 1; int outputRank = inputRank + indicesRank - 1; ALLOCATE(outputShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outputRank), Nd4jLong); // building shape manually outputShapeInfo[0] = outputRank; int shapeIdx = 1; for(int i = 0; i < axis; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i+1]; if (block.numI() > 2) outputShapeInfo[shapeIdx++] = block.numI() - 1; for(int i = axis+1; i < inputRank; ++i) outputShapeInfo[shapeIdx++] = inputShapeInfo[i+1]; } else REQUIRE_TRUE(false, 0, "GATHER op: indices should be provided either as additional input array or as IntArguments !"); ShapeUtils::updateStridesAndType(outputShapeInfo, inputShapeInfo, shape::order(inputShapeInfo)); if(isEmpty){ ArrayOptions::setPropertyBit(outputShapeInfo, ARRAY_EMPTY); } auto result = ConstantShapeHelper::getInstance().createShapeInfo(ShapeDescriptor(outputShapeInfo)); RELEASE(outputShapeInfo, block.getWorkspace()); return SHAPELIST(result); } } } #endif