torchbeast/monobeast.py [57:62]:
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parser.add_argument("--total_steps", default=100000, type=int, metavar="T",
                    help="Total environment steps to train for.")
parser.add_argument("--batch_size", default=8, type=int, metavar="B",
                    help="Learner batch size.")
parser.add_argument("--unroll_length", default=80, type=int, metavar="T",
                    help="The unroll length (time dimension).")
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torchbeast/polybeast_learner.py [56:61]:
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parser.add_argument("--total_steps", default=100000, type=int, metavar="T",
                    help="Total environment steps to train for.")
parser.add_argument("--batch_size", default=8, type=int, metavar="B",
                    help="Learner batch size.")
parser.add_argument("--unroll_length", default=80, type=int, metavar="T",
                    help="The unroll length (time dimension).")
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