org.nd4j.linalg.api.ops.impl.transforms.CheckNumerics Maven / Gradle / Ivy
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package org.nd4j.linalg.api.ops.impl.transforms;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public class CheckNumerics extends DynamicCustomOp {
public CheckNumerics(SameDiff sd, SDVariable input, SDVariable message){
super(sd, new SDVariable[]{input, message});
}
public CheckNumerics(){ }
@Override
public String opName() {
return "check_numerics";
}
@Override
public String tensorflowName() {
return "CheckNumerics";
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(f1.get(0));
}
@Override
public int numOutputArguments(){
return 1;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
String str = attributesForNode.get("message").getS().toStringUtf8();
//No "string args" support in libnd4j custom ops -> make it a constant instead
String name = nodeDef.getName();
SDVariable msg = initWith.constant(name + "/message", Nd4j.scalar(str));
List newInputs = new ArrayList<>(2);
newInputs.addAll(initWith.getOps().get(name).getInputsToOp());
newInputs.add(msg.name());
initWith.getOps().get(name).setInputsToOp(newInputs);
initWith.getVariables().get(msg.name()).setInputsForOp(Collections.singletonList(getOwnName())); }
@Override
public List calculateOutputDataTypes(List inputDataTypes){
//input data types may be less than 2 for import, only first one matters anyways
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() <= 2, "Expected 2 datatype in, got %s", inputDataTypes);
Preconditions.checkState(inputDataTypes.get(0).isFPType(), "Input datatype must be a floating point type, got %s", inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}