org.nd4j.linalg.api.ops.impl.transforms.custom.ReverseV2 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.custom;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public class ReverseV2 extends DynamicCustomOp {
protected final boolean isLegacy = true;
public ReverseV2() {
iArguments.add(isLegacy ? 1L : 0L);
}
@Override
public String opName() {
return "reverse_v2";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "ReverseV2";
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("BP mode isn't supported for this op");
}
@Override
public List calculateOutputDataTypes(List dataTypes){
//2nd input is dynamic axis
Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 2),
"Expected 1 or 2 input datatypes for %s, got %s", getClass(), dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
}