org.nd4j.linalg.api.ops.impl.transforms.custom.ThresholdRelu 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.custom;
import java.util.Collections;
import java.util.List;
import lombok.Getter;
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;
import org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear;
/**
* Threshold ReLU op. The genral case of {@link RectifiedLinear}.
*/
public class ThresholdRelu extends DynamicCustomOp {
@Getter
private double cutoff = 0.0;
public ThresholdRelu(){ }
public ThresholdRelu(SameDiff sd, SDVariable input, boolean inPlace, double cutoff){
super(sd, new SDVariable[]{input}, inPlace);
this.cutoff = cutoff;
addTArgument(cutoff);
}
public ThresholdRelu(SameDiff sd, SDVariable input, double cutoff){
super(sd, new SDVariable[]{input});
this.cutoff = cutoff;
addTArgument(cutoff);
}
public ThresholdRelu(@NonNull INDArray input, INDArray output, double cutoff){
super(new INDArray[]{input}, wrapOrNull(output));
this.cutoff = cutoff;
addTArgument(cutoff);
}
@Override
public String opName(){
return "thresholdedrelu";
}
@Override
public List calculateOutputDataTypes(List dataTypes) {
Preconditions
.checkArgument(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatypes, got %s", dataTypes);
Preconditions.checkArgument(dataTypes.get(0).isFPType(), "Input datatype must be floating point, got %s", dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(f().thresholdReluBp(arg(), f1.get(0), cutoff));
}
}