org.nd4j.linalg.api.ops.impl.transforms.strict.RectifiedTanh Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
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package org.nd4j.linalg.api.ops.impl.transforms.strict;
import onnx.Onnx;
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.BaseTransformStrictOp;
import org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhBp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.List;
import java.util.Map;
public class RectifiedTanh extends BaseTransformStrictOp {
public RectifiedTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public RectifiedTanh(SameDiff sameDiff, SDVariable i_v) {
this(sameDiff, i_v, false);
}
public RectifiedTanh() {}
public RectifiedTanh(INDArray x, INDArray z) {
super(x, z);
}
public RectifiedTanh(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 38;
}
@Override
public String opName() {
return "rectified_tanh";
}
@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 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 List doDiff(List f1) {
return new RectifiedTanhBp(sameDiff, arg(), f1.get(0)).outputs();
}
}