org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayRead Maven / Gradle / Ivy
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* 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.impl.shape.tensorops;
import onnx.OnnxProto3;
import org.nd4j.autodiff.functions.DifferentialFunction;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
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 TensorArrayRead extends BaseTensorOp {
protected DataType importDataType;
public TensorArrayRead(String name, SameDiff sameDiff, SDVariable[] args){
super(name, sameDiff, args);
}
public TensorArrayRead(SameDiff sameDiff, SDVariable[] args){
super(null, sameDiff, args);
}
public TensorArrayRead(){}
@Override
public String tensorflowName() {
return "TensorArrayReadV3";
}
@Override
public String opName() {
return "tensorarrayreadv3";
}
@Override
public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map attributesForNode, OnnxProto3.GraphProto graph) {
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
this.importDataType = TFGraphMapper.convertType(attributesForNode.get("dtype").getType());
}
@Override
public List calculateOutputDataTypes(List inputDataType){
//Same output type as the TensorArray - which is defined by input 0
DataType dt;
if(importDataType != null){
dt = importDataType;
} else {
SDVariable tArr = arg(0);
DifferentialFunction op = sameDiff.getVariableOutputFunction(tArr.getVarName());
TensorArray t3 = (TensorArray) op;
dt = t3.getTensorArrayDataType();
}
return Collections.singletonList(dt);
}
}