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/*
* ******************************************************************************
* *
* *
* * 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;
import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
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;
/**
*
*/
@NoArgsConstructor
public class Select extends DynamicCustomOp {
public Select(SameDiff sameDiff, SDVariable[] args) {
super(null, sameDiff, args);
}
public Select( INDArray[] inputs, INDArray[] outputs, List tArguments, List iArguments) {
super(null, inputs, outputs, tArguments, iArguments);
}
public Select( INDArray[] inputs, INDArray[] outputs) {
super(null, inputs, outputs);
}
public Select(SameDiff sameDiff, SDVariable[] args, boolean inPlace) {
super(null, sameDiff, args, inPlace);
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
}
@Override
public String tensorflowName() {
return "Select";
}
@Override
public String opName() {
return "select";
}
@Override
public List calculateOutputDataTypes(List inputDataType){
Preconditions.checkState(inputDataType != null && inputDataType.size() == 3, "Expected 3 input datatypes for %s, got %s", getClass(), inputDataType );
//3 inputs: condition, x, y
return Collections.singletonList(inputDataType.get(1));
}
}