org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge Maven / Gradle / Ivy
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* * 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.random.impl;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.OpContext;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import java.util.Arrays;
import java.util.List;
public class ProbablisticMerge extends BaseRandomOp {
private double probability;
public ProbablisticMerge() {
super();
}
public ProbablisticMerge(@NonNull INDArray x, @NonNull INDArray y, @NonNull INDArray z, double probability) {
super(x,y,z);
this.probability = probability;
this.extraArgs = new Object[] {probability};
}
public ProbablisticMerge(@NonNull INDArray x, @NonNull INDArray y, double probability) {
this(x, y, x, probability);
}
@Override
public int opNum() {
return 3;
}
@Override
public String opName() {
return "probablistic_merge";
}
@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 calculateOutputShape(OpContext oc) {
return calculateOutputShape();
}
@Override
public List calculateOutputShape() {
LongShapeDescriptor longShapeDescriptor = LongShapeDescriptor.fromShape(shape,dataType);
return Arrays.asList(longShapeDescriptor);
}
@Override
public List doDiff(List f1) {
return null;
}
}