org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean 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.transforms.segment;
import lombok.NoArgsConstructor;
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.api.ops.impl.transforms.segment.bp.UnsortedSegmentMeanBp;
import java.util.Collections;
import java.util.List;
@NoArgsConstructor
public class UnsortedSegmentMean extends DynamicCustomOp {
private int numSegments;
public UnsortedSegmentMean(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, int numSegments) {
super(null, sameDiff, new SDVariable[] {data, segmentIds}, false);
this.numSegments = numSegments;
addIArgument(numSegments);
}
public UnsortedSegmentMean(INDArray data, INDArray segmentIds, int numSegments){
super(new INDArray[]{data, segmentIds}, null);
this.numSegments = numSegments;
addIArgument(numSegments);
}
@Override
public String opName(){
return "unsorted_segment_mean";
}
@Override
public List doDiff(List gradients){
return new UnsortedSegmentMeanBp(sameDiff, arg(0), arg(1), gradients.get(0), numSegments).outputs();
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
if(!dArguments.isEmpty()) {
return Collections.singletonList(dArguments.get(0));
}
Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
"Expected exactly 2 input data types for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}