org.nd4j.linalg.api.ops.impl.transforms.IdentityN 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.impl.transforms;
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.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import java.util.Collections;
import java.util.List;
public class IdentityN extends DynamicCustomOp {
public IdentityN() {}
public IdentityN(SameDiff sameDiff, SDVariable[] inputs) {
super(null, sameDiff, inputs, false);
}
public IdentityN(SameDiff sameDiff, SDVariable input) {
super(null, sameDiff, new SDVariable[] {input}, false);
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx name found for shape " + opName());
}
@Override
public String tensorflowName() {
return "IdentityN";
}
@Override
public String opName() {
return "identity_n";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public int getNumOutputs(){
return args().length;
}
@Override
public List doDiff(List i_v) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
@Override
public List calculateOutputDataTypes(List list){
return list;
}
}