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