/******************************************************************************** * Copyright (c) 2023 CEA-List * * This program and the accompanying materials are made available under the * terms of the Eclipse Public License 2.0 which is available at * http://www.eclipse.org/legal/epl-2.0. * * SPDX-License-Identifier: EPL-2.0 * ********************************************************************************/ #include <algorithm> #include <cassert> #include <cstddef> #include <string> #include <vector> #include <utility> #include "aidge/backend/OperatorImpl.hpp" #include "aidge/operator/Div.hpp" #include "aidge/utils/Types.h" #include "aidge/utils/ErrorHandling.hpp" const std::string Aidge::Div_Op::Type = "Div"; void Aidge::Div_Op::computeOutputDims() { // check inputs have been associated if (!getInput(0) || !getInput(1)) { AIDGE_THROW_OR_ABORT(std::runtime_error, "At least one input was not connected"); } if (!getInput(0)->empty() && !getInput(1)->empty()) { std::vector<std::vector<std::size_t>> inputsDims{getInput(0)->dims(), getInput(1)->dims()}; std::vector<std::size_t> outDims = (inputsDims[0].size() >= inputsDims[1].size()) ? inputsDims[0] : inputsDims[1]; std::vector<std::size_t>::iterator it = outDims.end(); while (it != outDims.begin()) { --it; for (size_t i = 0; i < inputsDims.size(); i++) { if(!inputsDims[i].empty()) { std::size_t dim = inputsDims[i].back(); inputsDims[i].pop_back(); if (*it != dim) { if(dim != 1) { if (*it != 1) { AIDGE_THROW_OR_ABORT(std::runtime_error, "Unsopported Tensor shape for Div Operation"); } else { *it = dim; } } } } } } mOutputs[0]->resize(outDims); } }