/******************************************************************************* * Copyright (c) 2015-2018 Skymind, Inc. * * 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. * * 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 raver119@gmail.com // @author Yurii Shyrma (iuriish@yahoo.com) // #include #if NOT_EXCLUDED(OP_unstack) #include #include namespace sd { namespace ops { CUSTOM_OP_IMPL(unstack, 1, -1, false, 0, 1) { auto input = INPUT_VARIABLE(0); auto dim = INT_ARG(0); if (dim < 0) dim += input->rankOf(); REQUIRE_TRUE(dim < input->rankOf(), 0, "Unstack dimension should be lower then rank of input %i, but got dimension=%i !", input->rankOf(), dim); REQUIRE_TRUE(dim >= 0, 0, "Unstack dimension should be non-negative value, but got %i !", dim); if(input->isEmpty()) return Status::OK(); std::vector outArrs(input->sizeAt(dim)); for(uint i = 0; i < outArrs.size(); ++i) outArrs[i] = OUTPUT_VARIABLE(i); helpers::unstack(block.launchContext(), *input, outArrs, dim); return Status::OK(); } DECLARE_SYN(unpack, unstack); DECLARE_SHAPE_FN(unstack) { auto inShapeInfo = inputShape->at(0); auto dim = INT_ARG(0); if (dim < 0) dim += shape::rank(inShapeInfo); REQUIRE_TRUE(dim < inShapeInfo[0], 0, "UNSTACK op: dimension should be lower then rank of input %i, but got dimension=%i !", inShapeInfo[0], dim); REQUIRE_TRUE(dim >= 0, 0, "UNSTACK op: dimension should be non-negative value, but got %i !", dim); if(ArrayOptions::arrayType(inShapeInfo) == ArrayType::EMPTY) { if(shape::shapeOf(inShapeInfo)[dim] == 0) return SHAPELIST(); const Nd4jLong numTads = shape::shapeOf(inShapeInfo)[dim]; std::vector outShape; for(uint i = 0; i < shape::rank(inShapeInfo); ++i) if(i != dim) outShape.push_back(shape::shapeOf(inShapeInfo)[i]); auto result = SHAPELIST(); for(uint i = 0; i < numTads; ++i) result->push_back(ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), outShape)); return result; } std::vector dims = ShapeUtils::evalDimsToExclude(inShapeInfo[0], {dim}); if (dims.size() == 0 && shape::rank(inShapeInfo) == 1) { // split vector into lenthOf scalars auto result = SHAPELIST(); for (Nd4jLong e = 0; e < shape::length(inShapeInfo); e++) result->push_back(ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inShapeInfo))); return result; } std::vector subArrShape(shape::rank(inShapeInfo) - 1); for(uint j = 0, i = 0; i < shape::rank(inShapeInfo); i++) if(i != dim) subArrShape[j++] = shape::shapeOf(inShapeInfo)[i]; // remove leading and trailing 1 if (inShapeInfo[0] == 2 && subArrShape.size() == 2) { if (subArrShape[0] == 1) subArrShape.erase(subArrShape.begin()); else if (subArrShape[1] == 1) subArrShape.erase(subArrShape.end()); } auto result = SHAPELIST(); for (int e = 0; e < shape::shapeOf(inShapeInfo)[dim]; e++) { auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), subArrShape); result->push_back(newShape); } return result; } DECLARE_TYPES(unstack) { getOpDescriptor() ->setAllowedInputTypes({ALL_FLOATS, ALL_INTS}) ->setSameMode(true); } } } #endif