org.nd4j.linalg.api.ops.NoOp Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.api.ops;
import onnx.OnnxProto3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
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});
}
@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) {
System.out.println("");
}
@Override
public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map attributesForNode, OnnxProto3.GraphProto graph) {
}
@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).shape());
}
return Collections.singletonList(new long[]{Long.MIN_VALUE}); //Temporary hack for "empty array"
}
}