org.nd4j.linalg.api.ops.NoOp 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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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops;
import onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
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.Collections;
import java.util.List;
import java.util.Map;
public class NoOp extends DynamicCustomOp {
public NoOp(){ }
public NoOp(SameDiff sd, SDVariable in){
super("noop", sd, new SDVariable[]{in});
}
public NoOp(INDArray in) {
addInputArgument(in);
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(f1.get(0));
}
@Override
public String opName() {
return "noop";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
}
@Override
public void computeArrays() {
}
@Override
public String onnxName() {
return "NoOp";
}
@Override
public String tensorflowName() {
return "NoOp";
}
@Override
public int getNumOutputs(){
return 1;
}
@Override
public List calculateOutputShape() {
if(inputArguments != null && !inputArguments.isEmpty()){
return Collections.singletonList(inputArguments.get(0).shapeDescriptor());
}
return Collections.singletonList(Nd4j.empty(DataType.BOOL).shapeDescriptor());
}
@Override
public List calculateOutputShape(OpContext oc){
if(oc.getInputArrays() != null && !oc.getInputArrays().isEmpty()){
return Collections.singletonList(oc.getInputArray(0).shapeDescriptor());
}
return Collections.singletonList(Nd4j.empty(DataType.BOOL).shapeDescriptor());
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
return Collections.singletonList(DataType.BOOL);
}
}