/******************************************************************************* * Copyright (c) 2019-2020 Konduit K.K. * * 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 Oleh Semeniv (oleg.semeniv@gmail.com) // #include #include #include #include #include namespace sd { namespace ops { CONFIGURABLE_OP_IMPL(sgd_updater, 1, 1, true, 0, 0) { const auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); if (input->isEmpty()) return Status::OK(); bool bLearningRate = 2 == block.width() || 1 == block.getTArguments()->size(); REQUIRE_TRUE(bLearningRate, 0, "SGD UPDATER OP: Learning rate was not provided!"); if (block.width() > 1) { const auto lr = INPUT_VARIABLE(1); REQUIRE_TRUE(lr->isScalar(), 0, "SGD UPDATER OP: Learning rate has to be a scalar, but instead got rank %i!", lr->rankOf()); input->applyScalarArr(scalar::Multiply, *lr, *output); } else { input->applyScalar(scalar::Multiply, T_ARG(0), *output); } return Status::OK(); } DECLARE_TYPES(sgd_updater) { getOpDescriptor()->setAllowedInputTypes({ ALL_FLOATS }) ->setSameMode(true); } } }