org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhBp Maven / Gradle / Ivy
/*
* Copyright (c) 2015-2019 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
*/
package org.nd4j.linalg.api.ops.impl.transforms.gradient;
import java.util.Collections;
import java.util.List;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
/**
* Hard Tanh backpropagation op - dL/dIn from in and dL/dOut
*/
public class HardTanhBp extends DynamicCustomOp {
public HardTanhBp(){ }
public HardTanhBp(SameDiff sd, SDVariable input, SDVariable gradient){
super(sd, new SDVariable[]{input, gradient});
}
public HardTanhBp(@NonNull INDArray input, @NonNull INDArray gradient, INDArray output){
super(new INDArray[]{input, gradient}, wrapOrNull(output));
}
@Override
public String opName(){
return "hardtanh_bp";
}
@Override
public List calculateOutputDataTypes(List dataTypes) {
Preconditions
.checkArgument(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes, got %s", dataTypes);
Preconditions.checkArgument(dataTypes.get(0).isFPType() && dataTypes.get(1).isFPType(), "Input datatypes must be floating point, got %s", dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Not supported");
}
}