/******************************************************************************* * 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 // #include #if NOT_EXCLUDED(OP_rationaltanh) #include #include namespace nd4j { namespace ops { CONFIGURABLE_OP_IMPL(rationaltanh, 1, 1, true, 0, 0) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); input->applyTransform(nd4j::transform::RationalTanh, output, nullptr); STORE_RESULT(output); return Status::OK(); } DECLARE_TYPES(rationaltanh) { getOpDescriptor() ->setAllowedInputTypes(0, DataType::ANY) ->setAllowedOutputTypes(0, {ALL_FLOATS}); } CONFIGURABLE_OP_IMPL(rationaltanh_bp, 2, 1, true, 0, 0) { auto input = INPUT_VARIABLE(0); auto epsilon = INPUT_VARIABLE(1); auto z = OUTPUT_VARIABLE(0); //input->applyPairwiseTransform(pairwise::RationalTanhDerivativeE, epsilon, z, nullptr); helpers::rationalTanhDerivative(block.launchContext(), input, epsilon, z); return Status::OK(); } DECLARE_TYPES(rationaltanh_bp) { getOpDescriptor() ->setAllowedInputTypes(0, DataType::ANY) ->setAllowedInputTypes(1, {DataType::FLOAT32, DataType ::DOUBLE, DataType::HALF}) ->setAllowedOutputTypes(0, {DataType::FLOAT32, DataType ::DOUBLE, DataType::HALF}); } } } #endif