org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcat 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.shape.tensorops;
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.buffer.DataType;
import org.nd4j.linalg.api.ops.Op;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public class TensorArrayConcat extends BaseTensorOp {
public TensorArrayConcat(String name, SameDiff sameDiff, SDVariable[] args){
super(name, sameDiff, args);
}
public TensorArrayConcat(SameDiff sameDiff, SDVariable[] args){
super(null, sameDiff, args);
}
public TensorArrayConcat(){}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op name found for " + opName());
}
@Override
public String[] tensorflowNames() {
return new String[]{"TensorArrayConcat", "TensorArrayConcatV2", "TensorArrayConcatV3"};
}
@Override
public String toString() {
return opName();
}
@Override
public String opName() {
return "stack_list";
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
throw new UnsupportedOperationException();
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public List calculateOutputDataTypes(java.util.List inputDataType) {
//Same output type as the TensorArray - which is defined by input 0
SDVariable tArr = arg(0);
TensorArray t3 = (TensorArray) sameDiff.getVariableOutputOp(tArr.name());
org.nd4j.linalg.api.buffer.DataType dt = t3.getTensorArrayDataType();
return Collections.singletonList(dt);
}
}