org.nd4j.linalg.api.ops.impl.scalar.Step 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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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * Unless required by applicable law or agreed to in writing, software
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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.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseScalarOp;
import java.util.Collections;
import java.util.List;
public class Step extends BaseScalarOp {
private final double cutoff;
public Step(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double cutoff) {
super(sameDiff, i_v, cutoff, inPlace);
this.cutoff = cutoff;
this.extraArgs = new Object[] {cutoff};
}
public Step(SameDiff sameDiff, SDVariable i_v, double cutoff) {
this(sameDiff, i_v, false, cutoff);
}
public Step() {
cutoff = 0.0;
this.extraArgs = new Object[] {cutoff};
}
public Step(INDArray x, INDArray z) {
super(x, z, 0.0);
cutoff = 0.0;
this.extraArgs = new Object[] {cutoff};
}
public Step(INDArray x) {
super(x, 0.0);
cutoff = 0.0;
this.extraArgs = new Object[] {cutoff};
}
public Step(INDArray x, INDArray z, double cutoff) {
super(x, z, cutoff);
this.cutoff = cutoff;
this.extraArgs = new Object[] {cutoff};
}
public Step(INDArray x, double cutoff) {
super(x, cutoff);
this.cutoff = cutoff;
this.extraArgs = new Object[] {cutoff};
}
@Override
public int opNum() {
return 41;
}
@Override
public String opName() {
return "step";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
}