benchmarks/api/bench_dist_neighbor_loader.py [37:50]:
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  parser.add_argument('--epochs', type=int, default=1,
                      help='repeat epochs for sampling')
  parser.add_argument('--batch_size', type=int, default=2048,
                      help='batch size for sampling')
  parser.add_argument('--shuffle', action="store_true",
                      help='whether to shuffle input seeds at each epoch')
  parser.add_argument('--with_edge', action="store_true",
                      help='whether to sample with edge ids')
  parser.add_argument('--collect_features', action='store_true',
                      help='whether to collect features for sampled results')
  parser.add_argument('--worker_concurrency', type=int, default=4,
                      help='concurrency for each sampling worker')
  parser.add_argument('--channel_size', type=str, default='4GB',
                      help='memory used for shared-memory channel')
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benchmarks/api/run_dist_bench.py [26:39]:
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  parser.add_argument('--epochs', type=int, default=1,
    help='repeat epochs for sampling')
  parser.add_argument('--batch_size', type=int, default=2048,
    help='batch size for sampling')
  parser.add_argument('--shuffle', action="store_true",
    help='whether to shuffle input seeds at each epoch')
  parser.add_argument('--with_edge', action="store_true",
    help='whether to sample with edge ids')
  parser.add_argument('--collect_features', action='store_true',
    help='whether to collect features for sampled results')
  parser.add_argument('--worker_concurrency', type=int, default=4,
    help='concurrency for each sampling worker')
  parser.add_argument('--channel_size', type=str, default='4GB',
    help='memory used for shared-memory channel')
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