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org.nd4j.linalg.api.ops.impl.shape.Create 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.shape;
import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
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.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@Slf4j
public class Create extends DynamicCustomOp {
protected boolean initialize = false;
protected char order = 'c';
protected DataType outputType = DataType.FLOAT; //Allow customizing dtype for TF import
public Create() {
}
public Create(String name, SameDiff sameDiff, SDVariable input, boolean initialize) {
this(name, sameDiff, input, 'c', initialize, input.dataType());
}
public Create(String name, SameDiff sameDiff, SDVariable input, char order, boolean initialize, DataType dataType) {
super(name, sameDiff, new SDVariable[]{input}, false);
this.outputType = dataType;
this.initialize = initialize;
this.order = order;
addArgs();
}
public Create(INDArray shape, DataType dataType) {
this(shape, 'c', false, dataType);
}
public Create(INDArray shape, boolean initialize, DataType dataType) {
this(shape, 'c', initialize, dataType);
}
public Create(@NonNull INDArray shape, char order, boolean initialize, DataType dataType) {
super(new INDArray[]{shape}, new INDArray[0]);
this.order = order;
this.initialize = initialize;
this.outputType = dataType;
addArgs();
}
public Create(SameDiff sd, SDVariable shape, DataType dataType) {
super(sd,new SDVariable[]{shape});
addDArgument(dataType);
addBArgument(false);
addIArgument((int) 'c', dataType.toInt());
}
public Create(SameDiff sd, SDVariable shape, DataType dataType, String order, boolean initialize) {
this(sd,shape,dataType);
addIArgument((int) order.charAt(0),dataType.toInt());
addBArgument(initialize);
}
public Create(INDArray shape, DataType dataType, String order, boolean initialize) {
super(new INDArray[]{shape},null);
addBArgument(initialize);
addIArgument((int) order.charAt(0),dataType.toInt());
}
protected void addArgs() {
addBArgument(initialize);
addIArgument((int) order,outputType.toInt());
}
@Override
public String opName() {
return "create";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No op found for " + opName());
}
@Override
public String tensorflowName() {
return "Empty";
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
// convert output data type
if(attributesForNode.containsKey("dtype")) {
outputType = TFGraphMapper.convertType(attributesForNode.get("dtype").getType());
}
// get init field
if(attributesForNode.containsKey("init")) {
initialize = attributesForNode.get("init").getB();
}
// there's no order in TF, just plain C
this.order = 'c';
addArgs();
}
@Override
public List doDiff(List i_v) {
SDVariable ret = sameDiff.zerosLike(outputVariables()[0]);
return Arrays.asList(ret);
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes.size() == 1, "Expected list with exactly 1 datatype for %s, got %s", getClass(), dataTypes);
if(outputType != null){
return Collections.singletonList(outputType);
} else {
//Output type is same as input type
return dataTypes;
}
}
}