Program: 3306
Project: 3306
Buggy source:
@Override protected Double compute(){
  int tensorDim;
  if (y == null)   tensorDim=OpExecutionerUtil.chooseElementWiseTensorDimension(x);
 else   tensorDim=OpExecutionerUtil.chooseElementWiseTensorDimension(x,y);
  int nTensors=x.tensorssAlongDimension(tensorDim);
  if (nTensors == 1) {
    INDArray tx=x.tensorAlongDimension(0,tensorDim);
    INDArray ty=(y != null ? y.tensorAlongDimension(0,tensorDim) : null);
    int offsetX=tx.offset();
    int offsetY=(y != null ? ty.offset() : 0);
    int incrX=tx.elementWiseStride();
    int incrY=(y != null ? ty.elementWiseStride() : 0);
    return op.getAccumulationOpDataBufferTask(threshold,tx.length(),x.data(),(y != null ? y.data() : null),offsetX,offsetY,incrX,incrY,true).invoke();
  }
 else {
    List<AccumulationDataBufferTask> blockList=new ArrayList<>(nTensors);
    if (x.rank() == 2) {
      OpExecutionerUtil.Tensor1DStats tsx=OpExecutionerUtil.get1DTensorStats(x,tensorDim);
      int n=tsx.getTensorLength();
      int incrX=tsx.getElementWiseStride();
      DataBuffer dx=x.data();
      if (y == null) {
        for (int i=0; i < nTensors; i++) {
          int offsetX=tsx.getFirstTensorOffset() + i * tsx.getTensorStartSeparation();
          AccumulationDataBufferTask task=op.getAccumulationOpDataBufferTask(threshold,n,dx,null,offsetX,0,incrX,0,false);
          task.fork();
          blockList.add(task);
        }
      }
 else {
        DataBuffer dy=y.data();
        OpExecutionerUtil.Tensor1DStats tsy=OpExecutionerUtil.get1DTensorStats(y,tensorDim);
        int incrY=tsy.getElementWiseStride();
        for (int i=0; i < nTensors; i++) {
          int offsetX=tsx.getFirstTensorOffset() + i * tsx.getTensorStartSeparation();
          int offsetY=tsy.getFirstTensorOffset() + i * tsy.getTensorStartSeparation();
          AccumulationDataBufferTask task=op.getAccumulationOpDataBufferTask(threshold,n,dx,dy,offsetX,offsetY,incrX,incrY,false);
          task.fork();
          blockList.add(task);
        }
      }
    }
 else {
      for (int i=0; i < nTensors; i++) {
        AccumulationDataBufferTask task=op.getAccumulationOpDataBufferTask(i,tensorDim,threshold,x,y,false);
        task.fork();
        blockList.add(task);
      }
    }
    double accum=op.zeroDouble();
    for (    AccumulationDataBufferTask task : blockList) {
      double subAccum=task.join();
      accum=op.combineSubResults(accum,subAccum);
    }
    return op.getAndSetFinalResult(accum);
  }
}

Fixed version (ground truth):
@Override protected Double compute(){
  int tensorDim;
  if (y == null)   tensorDim=OpExecutionerUtil.chooseElementWiseTensorDimension(x);
 else   tensorDim=OpExecutionerUtil.chooseElementWiseTensorDimension(x,y);
  int nTensors=x.tensorssAlongDimension(tensorDim);
  if (nTensors == 1) {
    INDArray tx=x.tensorAlongDimension(0,tensorDim);
    INDArray ty=(y != null ? y.tensorAlongDimension(0,tensorDim) : null);
    int offsetX=tx.offset();
    int offsetY=(y != null ? ty.offset() : 0);
    int incrX=tx.elementWiseStride();
    int incrY=(y != null ? ty.elementWiseStride() : 0);
    double accum=op.getAccumulationOpDataBufferTask(threshold,tx.length(),x.data(),(y != null ? y.data() : null),offsetX,offsetY,incrX,incrY,true).invoke();
    return op.getAndSetFinalResult(accum);
  }
 else {
    List<AccumulationDataBufferTask> blockList=new ArrayList<>(nTensors);
    if (x.rank() == 2) {
      OpExecutionerUtil.Tensor1DStats tsx=OpExecutionerUtil.get1DTensorStats(x,tensorDim);
      int n=tsx.getTensorLength();
      int incrX=tsx.getElementWiseStride();
      DataBuffer dx=x.data();
      if (y == null) {
        for (int i=0; i < nTensors; i++) {
          int offsetX=tsx.getFirstTensorOffset() + i * tsx.getTensorStartSeparation();
          AccumulationDataBufferTask task=op.getAccumulationOpDataBufferTask(threshold,n,dx,null,offsetX,0,incrX,0,false);
          task.fork();
          blockList.add(task);
        }
      }
 else {
        DataBuffer dy=y.data();
        OpExecutionerUtil.Tensor1DStats tsy=OpExecutionerUtil.get1DTensorStats(y,tensorDim);
        int incrY=tsy.getElementWiseStride();
        for (int i=0; i < nTensors; i++) {
          int offsetX=tsx.getFirstTensorOffset() + i * tsx.getTensorStartSeparation();
          int offsetY=tsy.getFirstTensorOffset() + i * tsy.getTensorStartSeparation();
          AccumulationDataBufferTask task=op.getAccumulationOpDataBufferTask(threshold,n,dx,dy,offsetX,offsetY,incrX,incrY,false);
          task.fork();
          blockList.add(task);
        }
      }
    }
 else {
      for (int i=0; i < nTensors; i++) {
        AccumulationDataBufferTask task=op.getAccumulationOpDataBufferTask(i,tensorDim,threshold,x,y,false);
        task.fork();
        blockList.add(task);
      }
    }
    double accum=op.zeroDouble();
    for (    AccumulationDataBufferTask task : blockList) {
      double subAccum=task.join();
      accum=op.combineSubResults(accum,subAccum);
    }
    return op.getAndSetFinalResult(accum);
  }
}