org.nd4j.linalg.api.ops.impl.scalar.RectifiedLinear Maven / Gradle / Ivy
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* * 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.
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* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.scalar;
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.BaseScalarOp;
import org.nd4j.linalg.api.ops.impl.transforms.gradient.ThresholdReluBp;
import java.util.List;
public class RectifiedLinear extends BaseScalarOp {
public RectifiedLinear(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double cutoff) {
super(sameDiff, i_v, cutoff, inPlace);
}
public RectifiedLinear(SameDiff sameDiff, SDVariable i_v, double cutoff) {
this(sameDiff, i_v, false, cutoff);
}
public RectifiedLinear() {
super();
}
public RectifiedLinear(INDArray x, INDArray z, double cutoff) {
super(x, null, z, cutoff);
}
public RectifiedLinear(INDArray x, double cutoff) {
super(x, cutoff);
}
public RectifiedLinear(INDArray x, INDArray z) {
this(x, z, 0.0f);
}
public RectifiedLinear(INDArray x) {
this(x, 0.0f);
}
@Override
public int opNum() {
return 39;
}
@Override
public String opName() {
return "relu";
}
@Override
public String onnxName() {
return "Relu";
}
@Override
public String tensorflowName() {
return "Relu";
}
@Override
public List doDiff(List i_v) {
return new ThresholdReluBp(sameDiff, arg(), i_v.get(0), scalarValue.getDouble(0)).outputs();
}
}