org.nd4j.linalg.api.ops.custom.Lu Maven / Gradle / Ivy
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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.
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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.custom;
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.Arrays;
import java.util.List;
import java.util.Map;
@NoArgsConstructor
public class Lu extends DynamicCustomOp {
private DataType indexDataType;
public Lu(INDArray input) {
addInputArgument(input);
}
public Lu(SameDiff sameDiff, SDVariable input) {
super(sameDiff, new SDVariable[]{input});
}
@Override
public String opName() {
return "lu";
}
@Override
public String tensorflowName() {
return "Lu";
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
if (attributesForNode.containsKey("output_idx_type")){
indexDataType = TFGraphMapper.convertType(attributesForNode.get("output_idx_type").getType());
}
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
int n = args().length;
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
return Arrays.asList(inputDataTypes.get(0), indexDataType == null ? DataType.INT32 : indexDataType);
}
}