org.nd4j.linalg.api.ops.impl.transforms.custom.UniqueWithCounts Maven / Gradle / Ivy
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* Copyright (c) 2015-2018 Skymind, Inc.
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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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* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms.custom;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
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;
public class UniqueWithCounts extends DynamicCustomOp {
public static final DataType DEFAULT_IDX_DTYPE = DataType.INT;
private DataType idxDataType;
public UniqueWithCounts(){ }
public UniqueWithCounts(SameDiff sd, SDVariable in){
super(sd, new SDVariable[]{in}, false);
}
@Override
public String opName(){
return "unique_with_counts";
}
@Override
public String[] tensorflowNames() {
return new String[]{"UniqueWithCounts","UniqueWithCountsV2"};
}
@Override
public List doDiff(List i_v) {
throw new UnsupportedOperationException("Not implemented yet");
}
@Override
public int numOutputArguments(){
return 3;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
idxDataType = TFGraphMapper.convertType(nodeDef.getAttrOrThrow("out_idx").getType());
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), dataTypes);
DataType d = (idxDataType == null ? DEFAULT_IDX_DTYPE : idxDataType);
return Arrays.asList(dataTypes.get(0), d, d);
}
}