/* ****************************************************************************** * * * 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 ******************************************************************************/ // // @author raver119@gmail.com, created on 29/10/17 // @author Yurii Shyrma (iuriish@yahoo.com) // #include #if NOT_EXCLUDED(OP_softmax) #include #include namespace sd { namespace ops { DECLARE_TYPES(softmax) { getOpDescriptor() ->setAllowedInputTypes({ALL_FLOATS}) ->setAllowedOutputTypes({ALL_FLOATS}) ->setSameMode(true); } CONFIGURABLE_OP_IMPL(softmax, 1, 1, true, 0, 0) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); const int rank = input->rankOf(); const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1; REQUIRE_TRUE(dim < rank, 0, "SOFTMAX OP: the value of input integer parameter (dimension) must be less than input array rank %i, but got dimension = %i instead !", rank, dim); helpers::softmax(block.launchContext(), *input, *output, dim); return Status::OK(); } CONFIGURABLE_OP_IMPL(softmax_bp, 2, 1, true, 0, 0) { auto input = INPUT_VARIABLE(0); auto gradO = INPUT_VARIABLE(1); auto gradI = OUTPUT_VARIABLE(0); const int rank = input->rankOf(); const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1; REQUIRE_TRUE(dim < rank, 0, "SOFTMAX_BP OP: the value of input integer parameter (dimension) must be less than input array rank %i, but got dimension = %i instead !", rank, dim); helpers::softmax(block.launchContext(), *input, *gradI, dim); auto sumAlongDim = (*gradI * *gradO).reduceAlongDimension(reduce::Sum, {dim}, true); gradI->assign(*gradI * (*gradO - sumAlongDim)); return Status::OK(); } DECLARE_TYPES(softmax_bp) { getOpDescriptor() ->setAllowedInputTypes({ALL_FLOATS}) ->setAllowedOutputTypes({ALL_FLOATS}); } } } #endif