80 lines
2.6 KiB
C++
80 lines
2.6 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com, created on 29/10/17
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// @author Yurii Shyrma (iuriish@yahoo.com)
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_softmax)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/activations.h>
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namespace nd4j {
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namespace ops {
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DECLARE_TYPES(softmax) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_FLOATS})
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->setAllowedOutputTypes({ALL_FLOATS})
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->setSameMode(true);
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}
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CONFIGURABLE_OP_IMPL(softmax, 1, 1, true, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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const int rank = input->rankOf();
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const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1;
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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);
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helpers::softmax(block.launchContext(), *input, *output, dim);
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return Status::OK();
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}
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CONFIGURABLE_OP_IMPL(softmax_bp, 2, 1, true, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto gradO = INPUT_VARIABLE(1);
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auto gradI = OUTPUT_VARIABLE(0);
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const int rank = input->rankOf();
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const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1;
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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);
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helpers::softmax(block.launchContext(), *input, *gradI, dim);
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auto sumAlongDim = (*gradI * *gradO).reduceAlongDims(reduce::Sum, {dim}, true);
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gradI->assign(*gradI * (*gradO - sumAlongDim));
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return Status::OK();
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}
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DECLARE_TYPES(softmax_bp) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_FLOATS})
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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}
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}
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#endif |