message: Use the -l flag of nvidia-smi rather than watch "nvidia-smi".
diff: @@ -36,7 +36,7 @@ the difference in examples per second for the full model and the trivial model
  is minimal then the input pipeline is likely a bottleneck. Below are some other
  approaches to identifying issues:
  -* Check if a GPU is underutilized by running `watch -n 2 nvidia-smi`. If GPU
  +* Check if a GPU is underutilized by running `nvidia-smi -l 2`. If GPU
  utilization is not approaching 80-100%, then the input pipeline may be the
  bottleneck.
  * Generate a timeline and look for large blocks of white space (waiting). An
  