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 *  *  information regarding copyright ownership.
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package org.nd4j.linalg.api.ops.impl.shape.tensorops;

import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import org.nd4j.linalg.factory.Nd4j;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

import java.util.List;
import java.util.Map;

public abstract class BaseTensorOp extends DynamicCustomOp {

    public BaseTensorOp(String name, SameDiff sameDiff, SDVariable[] args){
        super(name, sameDiff, args);
    }
    public BaseTensorOp(SameDiff sameDiff, SDVariable[] args){
        super(null, sameDiff, args);
    }

    public BaseTensorOp(){}

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
        val inputOne = nodeDef.getInput(1);
        val varFor = initWith.getVariable(inputOne);
        val nodeWithIndex = TFGraphMapper.getNodeWithNameFromGraph(graph,inputOne);
        val var = TFGraphMapper.getArrayFrom(nodeWithIndex,graph);
        if(var != null) {
            val idx = var.getInt(0);
            addIArgument(idx);
        }
    }

    @Override
    public List doDiff(List f1) {
        throw new UnsupportedOperationException("Differentiation not yet implemented for " + getClass().getName());
    }

    @Override
    public Op.Type opType() {
        return Op.Type.CUSTOM;
    }


    @Override
    public String onnxName() {
        throw new NoOpNameFoundException("No onnx op name found for " + opName());
    }

    @Override
    public String toString() {
        return opName();
    }

    @Override
    public List calculateOutputShape() {
        throw new UnsupportedOperationException("calculateOutputShape() is not supported for tensor ops.");
    }

    @Override
    public void computeArrays() {
        addOutputArgument(Nd4j.scalar(1.0f));
    }

    @Override
    public int getNumOutputs() {
        //1 output in allay cases - sometimes just a dummy output, however
        return 1;
    }

}




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