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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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* * See the NOTICE file distributed with this work for additional
* * 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 org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
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.factory.Nd4j;
import java.util.Collections;
import java.util.List;
public class CompareAndBitpack extends DynamicCustomOp {
public CompareAndBitpack() {}
public CompareAndBitpack(INDArray in, double threshold) {
inputArguments.add(in);
inputArguments.add(Nd4j.scalar(threshold));
}
public CompareAndBitpack(INDArray in, double threshold, INDArray out) {
this(in, threshold);
outputArguments.add(out);
}
public CompareAndBitpack(SameDiff sameDiff, SDVariable threshold) {
super("", sameDiff, new SDVariable[]{threshold});
}
@Override
public String opName() {
return "compare_and_bitpack";
}
@Override
public String tensorflowName() {
return "CompareAndBitpack";
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got input %s", getClass(), dataTypes);
Preconditions.checkState(dataTypes.get(0) == dataTypes.get(1), "Input data types must be the same: got %s", dataTypes);
return Collections.singletonList(DataType.UINT8);
}
}