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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.transforms.gradient;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.*;
public class DynamicPartitionBp extends DynamicCustomOp {
private int numPartitions;
public DynamicPartitionBp() {
}
public DynamicPartitionBp(SameDiff sameDiff, SDVariable input, SDVariable partitions, SDVariable[] gradsAtOutput, int numPartitions) {
super(null, sameDiff, argsArray(input, partitions, gradsAtOutput), false);
this.numPartitions = numPartitions;
addArgs();
}
@Override
public List doDiff(List i_v) {
throw new UnsupportedOperationException("Backprop not supported");
}
protected void addArgs() {
addIArgument(numPartitions);
}
@Override
public String opName() {
return "dynamic_partition_bp";
}
@Override
public int getNumOutputs(){
return 2; //input and partitions
}
private static SDVariable[] argsArray(SDVariable input, SDVariable partitions, SDVariable[] grads){
SDVariable[] out = new SDVariable[grads.length + 2];
out[0] = input;
out[1] = partitions;
System.arraycopy(grads, 0, out, 2, grads.length);
return out;
}
@Override
public List calculateOutputDataTypes(List dataTypes){
//Input gradients and partition 'gradients' - same type as inputs
return Arrays.asList(dataTypes.get(0), dataTypes.get(1));
}
}