/* ****************************************************************************** * * * 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 ******************************************************************************/ // // Created by GS 31.01.2018 // #include #if NOT_EXCLUDED(OP_l2_loss) #include namespace sd { namespace ops { CUSTOM_OP_IMPL(l2_loss, 1, 1, false, 0, 0) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); REQUIRE_TRUE(output->isScalar(), 0, "Rank output should be scalar"); // FIXME: output should be used directly here, to avoid sum input->reduceNumber(reduce::SquaredNorm, *output); (*output) /= 2.; return Status::OK(); } DECLARE_SHAPE_FN(l2_loss) { return SHAPELIST(ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inputShape->at(0)))); } DECLARE_TYPES(l2_loss) { getOpDescriptor() ->setAllowedInputTypes(sd::DataType::ANY) ->setAllowedOutputTypes({ALL_FLOATS}); } } } #endif