cavis/libnd4j/include/ops/declarable/generic/nn/logSoftmax.cpp

82 lines
2.6 KiB
C++

/*******************************************************************************
* 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 Yurii Shyrma (iuriish@yahoo.com), created on 01.02.2018
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_log_softmax)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/activations.h>
namespace sd {
namespace ops {
DECLARE_TYPES(log_softmax) {
getOpDescriptor()
->setAllowedInputTypes({ALL_FLOATS})
->setSameMode(true);
}
CONFIGURABLE_OP_IMPL(log_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, "LOG_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::logSoftmax(block.launchContext(), *input, *output, dim);
return Status::OK();
}
DECLARE_TYPES(log_softmax_bp) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedInputTypes(1, {ALL_FLOATS})
->setAllowedOutputTypes({ALL_FLOATS});
}
CONFIGURABLE_OP_IMPL(log_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, "LOG_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);
gradI->assign( *gradO - (*gradI * *gradO).reduceAlongDimension(reduce::Sum, {dim}, true) );
return Status::OK();
}
}
}
#endif