org.nd4j.linalg.api.ops.random.impl.DropOutInverted Maven / Gradle / Ivy
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package org.nd4j.linalg.api.ops.random.impl;
import lombok.NonNull;
import onnx.Onnx;
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.OpContext;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
public class DropOutInverted extends BaseRandomOp {
private double p;
public DropOutInverted() {
}
public DropOutInverted(SameDiff sameDiff, SDVariable input, double p) {
super(sameDiff, input);
this.p = p;
this.extraArgs = new Object[]{p};
}
public DropOutInverted(@NonNull INDArray x, double p) {
this(x, x, p);
}
public DropOutInverted(@NonNull INDArray x, @NonNull INDArray z, double p) {
super(x,null,z);
this.p = p;
this.extraArgs = new Object[] {p};
}
@Override
public int opNum() {
return 2;
}
@Override
public String opName() {
return "dropout_inverted";
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
super.initFromOnnx(node, initWith, attributesForNode, graph);
}
@Override
public String onnxName() {
return "Dropout";
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("DropOutInverted does not have a derivative.");
}
@Override
public List calculateOutputShape(OpContext oc) {
return calculateOutputShape();
}
@Override
public List calculateOutputShape() {
LongShapeDescriptor longShapeDescriptor = LongShapeDescriptor.fromShape(shape,dataType);
return Arrays.asList(longShapeDescriptor);
}
}