org.nd4j.linalg.api.ops.impl.shape.Shape Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.shape;
import lombok.val;
import onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.autodiff.samediff.serde.FlatBuffersMapper;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter;
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.nd4j.linalg.api.ops.Op;
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;
/**
* Returns the shape of the input array.
*
* @author Adam Gibson
*/
public class Shape extends DynamicCustomOp {
protected DataType dataType;
public Shape() {}
public Shape(SameDiff sameDiff, SDVariable input) {
this(sameDiff, input, false);
}
public Shape(SameDiff sameDiff, SDVariable input, boolean inPlace) {
super(null, sameDiff, new SDVariable[] {input}, inPlace);
}
public Shape(INDArray in, INDArray out){
super(null, in, out, null, null);
}
public Shape(INDArray in){
this(in, null);
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx name found for shape " + opName());
}
@Override
public String opName() {
return "shape_of";
}
@Override
public String tensorflowName() {
return "Shape";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
dataType = TFGraphMapper.convertType(nodeDef.getAttrOrThrow("out_type").getType());
val dtype = DataTypeAdapter.dtypeConv(nodeDef.getAttrOrThrow("out_type").getType());
iArguments.add((long) FlatBuffersMapper.getDataTypeAsByte(dtype));
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
throw new NoOpNameFoundException("No onnx name found for shape " + opName());
}
@Override
public void configureFromArguments() {
if(!dArguments.isEmpty()) {
this.dataType = dArguments.get(0);
}
}
@Override
public void setPropertiesForFunction(Map properties) {
super.setPropertiesForFunction(properties);
}
@Override
public List doDiff(List i_v) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
@Override
public List calculateOutputDataTypes(List dataTypes) {
Preconditions.checkState(dataTypes.size() == 1, "Expected list with exactly 1 datatype for %s, got %s", getClass(), dataTypes);
if(!dArguments.isEmpty())
return Collections.singletonList(dArguments.get(0));
else if(dataType != null && dArguments.isEmpty()) {
dArguments.add(dataType);
}
return Collections.singletonList(dataType == null ? DataType.LONG : dataType);
}
}