org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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* * information regarding copyright ownership.
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package org.nd4j.linalg.api.ops.impl.controlflow.compat;
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.Op;
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 LoopCond extends BaseCompatOp {
public static final String OP_NAME = "loop_cond";
@Override
public String opName() {
return OP_NAME;
}
@Override
public SDVariable[] outputVariables() {
return super.outputVariables();
}
@Override
public String tensorflowName() {
return "LoopCond";
}
@Override
public Op.Type opType() {
return Op.Type.LOOP_COND;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
}
@Override
public int getNumOutputs(){
return 1;
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected 1 input datatype for %s, got %s", getClass(), inputDataTypes);
return inputDataTypes;
}
}