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/*******************************************************************************
* 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
******************************************************************************/
package org.nd4j.linalg.api.ops.impl.transforms;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import java.util.Arrays;
import java.util.List;
/**
* Rectified linear units
*
* @author Adam Gibson
*/
public class RectifedLinear extends BaseTransformOp {
private double cutoff = 0.0;
public RectifedLinear(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, double cutoff) {
super(sameDiff, i_v1, i_v2, inPlace);
this.cutoff = cutoff;
this.extraArgs = new Object[]{cutoff};
}
public RectifedLinear(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, Object[] extraArgs, double cutoff) {
super(sameDiff, i_v1, i_v2, extraArgs);
this.cutoff = cutoff;
this.extraArgs = new Object[]{cutoff};
}
public RectifedLinear(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double cutoff) {
super(sameDiff, i_v, inPlace);
this.cutoff = cutoff;
this.extraArgs = new Object[]{cutoff};
}
public RectifedLinear() {
this.extraArgs = new Object[]{cutoff};
}
public RectifedLinear(INDArray x, INDArray z, double cutoff) {
super(x, z);
this.cutoff = cutoff;
init(x, y, z, n); //Need to re-init to properly set cutoff in extra args array
}
public RectifedLinear(INDArray x, INDArray z, long n, double cutoff) {
super(x, z, n);
this.cutoff = cutoff;
init(x, y, z, n);
}
public RectifedLinear(INDArray x, INDArray y, INDArray z, long n, double cutoff) {
super(x, y, z, n);
this.cutoff = cutoff;
init(x, y, z, n);
}
public RectifedLinear(INDArray x, double cutoff) {
super(x);
this.cutoff = cutoff;
init(x, y, z, n);
}
public RectifedLinear(INDArray x, INDArray z) {
super(x, z);
}
public RectifedLinear(INDArray x, INDArray z, long n) {
super(x, z, n);
}
public RectifedLinear(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
}
public RectifedLinear(INDArray x, INDArray y, INDArray z) {
super(x, y, z, x.lengthLong());
}
public RectifedLinear(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 33;
}
@Override
public String opName() {
return "relu";
}
@Override
public String onnxName() {
return "Relu";
}
@Override
public String tensorflowName() {
return "Relu";
}
@Override
public void init(INDArray x, INDArray y, INDArray z, long n) {
super.init(x, y, z, n);
this.extraArgs = new Object[]{cutoff};
}
@Override
public List doDiff(List i_v) {
SDVariable step = new Step(sameDiff, arg(), false, cutoff).outputVariables()[0];
SDVariable ret = step.mul(i_v.get(0));
return Arrays.asList(ret);
}
}