message: Wrap the comment lines to 80 columns
diff: @@ -206,20 +206,22 @@ class SegmentReductionOp : public OpKernel {
  };
  #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
  -// SegmentReductionGPUOp is a segment reduction operator implemented for GPU only.
  +// SegmentReductionGPUOp is a segment reduction operator implemented for GPU
  +// only.
  // TODO: This implementation of SegmentReductionGPUOp is sometimes slower than
  // its unsorted counterpart (mostly when problem size is small).
  // This is due to the following two main reasons and a cost-effective way
  // to resolve these problems is desirable.
  -// 1. Sorted segment reduction requires a memory transfer from device to host in
  -// order to know the size of the output dimension whereas unsorted segment
  -// reduction receives the size of the output dimension as an input parameter.
  -// 2. Sorted segment reduction is essentially a tiled version of unsorted segment
  -// reduction and therefore such optimization comes at an inherent cost. However
  -// such cost may not be justified when the problem size is small. When to
  -// use the tiled version or the untiled version depends on many factors
  -// including data alignments, ratio of calculation to memory traffic and
  -// obviously, the problem sizes.
  +// 1. Sorted segment reduction requires a memory transfer from device to host
  +// in order to know the size of the output dimension whereas unsorted
  +// segment reduction receives the size of the output dimension as an input
  +// parameter.
  +// 2. Sorted segment reduction is essentially a tiled version of unsorted
  +// segment reduction and therefore such optimization comes at an inherent
  +// cost. However such cost may not be justified when the problem size is
  +// small. When to use the tiled version or the untiled version depends on
  +// many factors including data alignments, ratio of calculation to memory
  +// traffic and obviously, the problem sizes.
  template <class T, class Index, class SegmentReductionFunctor>
  class SegmentReductionGPUOp : public AsyncOpKernel {
  public:
  