org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.impl.controlflow.compat;
import java.util.List;
import lombok.NonNull;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.descriptors.properties.AttributeAdapter;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.HashMap;
import java.util.Map;
public abstract class BaseCompatOp extends DynamicCustomOp {
protected String frameName;
public BaseCompatOp(SameDiff sameDiff, SDVariable[] inputs){
super(null, sameDiff, inputs);
}
public BaseCompatOp(INDArray... inputs) {
addInputArgument(inputs);
}
public BaseCompatOp(){
}
public String getFrameName() {
return frameName;
}
public void setFrameName(@NonNull String frameName) {
this.frameName = frameName;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode,nodeDef, graph);
}
@Override
public Map> mappingsForFunction() {
Map> ret = new HashMap<>();
Map map = new HashMap<>();
val frameNameMapping = PropertyMapping.builder()
.tfAttrName("frame_name")
.onnxAttrName("frame_name") // not sure if it exists in onnx
.propertyNames(new String[]{"frameName"})
.build();
map.put("frameName", frameNameMapping);
try {
ret.put(onnxName(), map);
}catch(NoOpNameFoundException e) {
//ignore, we dont care about onnx for this set of ops
}
try {
ret.put(tensorflowName(),map);
}catch(NoOpNameFoundException e) {
//ignore
}
return ret;
}
@Override
public Map> attributeAdaptersForFunction() {
return super.attributeAdaptersForFunction();
}
@Override
public List calculateOutputShape() {
throw new UnsupportedOperationException("calculateOutputShape() is not supported for control flow ops.");
}
}