cavis/libnd4j/include/ops/declarable/generic/activations/tanh.cpp

67 lines
2.2 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 raver119@gmail.com
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_tanh)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/legacy_helpers.h>
namespace nd4j {
namespace ops {
CONFIGURABLE_OP_IMPL(tanh, 1, 1, true, 0, 0) {
auto first = INPUT_VARIABLE(0);
auto z = OUTPUT_VARIABLE(0);
first->applyTransform(nd4j::transform::Tanh, *z);
STORE_RESULT(*z);
return Status::OK();
}
DECLARE_TYPES(tanh) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedOutputTypes(0, {ALL_FLOATS});
}
CONFIGURABLE_OP_IMPL(tanh_bp, 2, 1, true, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto epsilon = INPUT_VARIABLE(1);
auto z = OUTPUT_VARIABLE(0);
//input->applyPairwiseTransform(pairwise::TanhDerivativeE, epsilon, z, nullptr);
helpers::tanhDerivative(block.launchContext(), input, epsilon, z);
return Status::OK();
}
DECLARE_SYN(TanhGrad, tanh_bp);
DECLARE_TYPES(tanh_bp) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedInputTypes(1, {DataType::FLOAT32, DataType ::DOUBLE, DataType::HALF})
->setAllowedOutputTypes(0, {DataType::FLOAT32, DataType ::DOUBLE, DataType::HALF});
}
}
}
#endif