def main(_):
utility.set_up_logging()
if not FLAGS.config:
raise KeyError('You must specify a configuration.')
if FLAGS.load_from:
logdir = FLAGS.logdir = FLAGS.load_from
else:
if FLAGS.logdir and os.path.exists(FLAGS.logdir):
run_number = [
int(f.split("-")[0]) for f in os.listdir(FLAGS.logdir)
if os.path.isdir(os.path.join(FLAGS.logdir, f))
and FLAGS.config in f
]
run_number = max(run_number) + 1 if len(run_number) > 0 else 0
else:
run_number = 0
logdir = FLAGS.logdir and os.path.expanduser(
os.path.join(FLAGS.logdir, '{}-{}'.format(run_number,
FLAGS.config)))
try:
config = utility.load_config(logdir)
except IOError:
config = tools.AttrDict(getattr(configs, FLAGS.config)())
config = utility.save_config(config, logdir)
train(config, logdir)
def main(_):
"""Load a trained algorithm and render videos."""
utility.set_up_logging()
if not FLAGS.logdir or not FLAGS.outdir:
raise KeyError('You must specify logging and outdirs directories.')
FLAGS.logdir = os.path.expanduser(FLAGS.logdir)
FLAGS.outdir = os.path.expanduser(FLAGS.outdir)
visualize(FLAGS.logdir, FLAGS.outdir, FLAGS.num_agents, FLAGS.num_episodes,
FLAGS.checkpoint, FLAGS.env_processes)
def main(_):
"""Create or load configuration and launch the trainer."""
utility.set_up_logging()
if not FLAGS.config:
raise KeyError('You must specify a configuration.')
logdir = FLAGS.logdir and os.path.expanduser(
os.path.join(FLAGS.logdir, '{}-{}'.format(FLAGS.timestamp,
FLAGS.config)))
try:
config = utility.load_config(logdir)
except IOError:
config = tools.AttrDict(getattr(configs, FLAGS.config)())
config = utility.save_config(config, logdir)
for score in train(config, FLAGS.env_processes):
tf.logging.info('Score {}.'.format(score))
