wehub-resource-sync
94 lines
3.0 KiB
C++
94 lines
3.0 KiB
C++
/* ******************************************************************************
|
|
*
|
|
*
|
|
* 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 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 sd::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, 3, 1, true, 0, 0) {
|
|
auto input = INPUT_VARIABLE(0);
|
|
auto gradO = INPUT_VARIABLE(1);
|
|
auto softmaxOut = INPUT_VARIABLE(2);
|
|
auto gradI = OUTPUT_VARIABLE(0);
|
|
gradI->assign(softmaxOut);
|
|
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);
|
|
|
|
std::vector<sd::LongType> dimVec;
|
|
dimVec.push_back(dim);
|
|
auto* sumGradOj = gradO->reduceAlongDimension(reduce::Sum, &dimVec, true);
|
|
|
|
// Break down: *gradO - *gradI * sumGradOj
|
|
auto* product = (*gradI) * (*sumGradOj);
|
|
auto* assign = (*gradO) - (*product);
|
|
delete product;
|
|
delete sumGradOj;
|
|
|
|
gradI->assign(assign);
|
|
delete assign;
|
|
|
|
return sd::Status::OK;
|
|
}
|
|
|
|
} // namespace ops
|
|
} // namespace sd
|
|
|
|
#endif
|