torchbeast/monobeast.py [319:327]:
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def train(flags):  # pylint: disable=too-many-branches, too-many-statements
    if flags.xpid is None:
        flags.xpid = "torchbeast-%s" % time.strftime("%Y%m%d-%H%M%S")
    plogger = file_writer.FileWriter(
        xpid=flags.xpid, xp_args=flags.__dict__, rootdir=flags.savedir
    )
    checkpointpath = os.path.expandvars(
        os.path.expanduser("%s/%s/%s" % (flags.savedir, flags.xpid, "model.tar"))
    )
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torchbeast/polybeast_learner.py [392:400]:
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def train(flags):
    if flags.xpid is None:
        flags.xpid = "torchbeast-%s" % time.strftime("%Y%m%d-%H%M%S")
    plogger = file_writer.FileWriter(
        xpid=flags.xpid, xp_args=flags.__dict__, rootdir=flags.savedir
    )
    checkpointpath = os.path.expandvars(
        os.path.expanduser("%s/%s/%s" % (flags.savedir, flags.xpid, "model.tar"))
    )
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