org.nd4j.linalg.api.ops.impl.image.NonMaxSuppressionV3 Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
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package org.nd4j.linalg.api.ops.impl.image;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import java.util.Collections;
import java.util.List;
public class NonMaxSuppressionV3 extends DynamicCustomOp {
public NonMaxSuppressionV3() {}
public NonMaxSuppressionV3(SameDiff sameDiff, @NonNull SDVariable boxes, @NonNull SDVariable scores, @NonNull SDVariable maxOutSize,
@NonNull SDVariable iouThreshold, @NonNull SDVariable scoreThreshold) {
super(null, sameDiff, new SDVariable[]{boxes, scores, maxOutSize, iouThreshold, scoreThreshold}, false);
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx name found for shape " + opName());
}
@Override
public String tensorflowName() {
return "NonMaxSuppressionV3";
}
@Override
public String[] tensorflowNames() {
return new String[]{"NonMaxSuppressionV3","NonMaxSuppressionV4","NonMaxSuppressionV5"};
}
@Override
public String opName() {
return "non_max_suppression_v3";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public List doDiff(List i_v) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
//Always 1D integer tensor (indices)
return Collections.singletonList(DataType.INT);
}
}