d385044dbc4cfd0b70197d513000baa53e539b09,run.py,,main,#,24

Before Change

            "{} directory. Can"t load model".format(os.path.join(logdir, "logs"))
          )
      else:
        raise IOError(
          "{} does not exist or is empty, can"t restore model".format(
            os.path.join(logdir, "logs"))
        )
  except IOError as e:
    if args.no_dir_check:
      print("Warning: {}".format(e))
      print("Resuming operation since no_dir_check argument was provided")

After Change

                      help="first step to start counting time for benchmarking")
  parser.add_argument("--debug_port", type=int,
                      help="run TensorFlow in debug mode on specified port")
  parser.add_argument("--enable_logs", dest="enable_logs", action="store_true",
                      help="whether to log output, git info, cmd args, etc.")
  args, unknown = parser.parse_known_args()

  if args.mode not in ["train", "eval", "train_eval", "infer"]:
    raise ValueError("Mode has to be one of "

Instances