message: Reinstate /dataset in docker container for running commands.  It appears to have been lost when porting the script from ngraph-tensorflow-bridge to ngraph-tf.  Also, mount aipg_trained_dataset at both /aipg_trained_dataset and /trained_dataset in the container.  This provides backwards compatibility for existing run-model jobs, while also standardizing on the /trained_dataset name.
diff: @@ -69,14 +69,16 @@ IMAGE_CLASS='ngraph_tf_ci'
  # IMAGE_ID set from 1st parameter, above
  # Set up optional volume mounts
  -volume_mounts=''
  +volume_mounts='-v /dataset:/dataset'
  if [ ! -z "${NG_TF_MODELS_REPO}" ] ; then
  volume_mounts="${volume_mounts} -v ${NG_TF_MODELS_REPO}:/home/dockuser/ngraph-models"
  fi
  if [ -z "${NG_TF_TRAINED}" ] ; then
  volume_mounts="${volume_mounts} -v /aipg_trained_dataset:/aipg_trained_dataset"
  + volume_mounts="${volume_mounts} -v /aipg_trained_dataset:/trained_dataset"
  else
  volume_mounts="${volume_mounts} -v ${NG_TF_TRAINED}:/aipg_trained_dataset"
  + volume_mounts="${volume_mounts} -v ${NG_TF_TRAINED}:/trained_dataset"
  fi
  # Set up optional environment variables
  