def run_cli(options: RunOptions) -> None:
try:
print(
"""
▄▄▄▓▓▓▓
╓▓▓▓▓▓▓█▓▓▓▓▓
,▄▄▄m▀▀▀' ,▓▓▓▀▓▓▄ ▓▓▓ ▓▓▌
▄▓▓▓▀' ▄▓▓▀ ▓▓▓ ▄▄ ▄▄ ,▄▄ ▄▄▄▄ ,▄▄ ▄▓▓▌▄ ▄▄▄ ,▄▄
▄▓▓▓▀ ▄▓▓▀ ▐▓▓▌ ▓▓▌ ▐▓▓ ▐▓▓▓▀▀▀▓▓▌ ▓▓▓ ▀▓▓▌▀ ^▓▓▌ ╒▓▓▌
▄▓▓▓▓▓▄▄▄▄▄▄▄▄▓▓▓ ▓▀ ▓▓▌ ▐▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▌ ▐▓▓▄ ▓▓▌
▀▓▓▓▓▀▀▀▀▀▀▀▀▀▀▓▓▄ ▓▓ ▓▓▌ ▐▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▌ ▐▓▓▐▓▓
^█▓▓▓ ▀▓▓▄ ▐▓▓▌ ▓▓▓▓▄▓▓▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▓▄ ▓▓▓▓`
'▀▓▓▓▄ ^▓▓▓ ▓▓▓ └▀▀▀▀ ▀▀ ^▀▀ `▀▀ `▀▀ '▀▀ ▐▓▓▌
▀▀▀▀▓▄▄▄ ▓▓▓▓▓▓, ▓▓▓▓▀
`▀█▓▓▓▓▓▓▓▓▓▌
¬`▀▀▀█▓
"""
)
except Exception:
print("\n\n\tUnity Technologies\n")
print(get_version_string())
if options.debug:
log_level = logging_util.DEBUG
else:
log_level = logging_util.INFO
# disable noisy warnings from tensorflow
tf_utils.set_warnings_enabled(False)
logging_util.set_log_level(log_level)
logger.debug("Configuration for this run:")
logger.debug(json.dumps(options.as_dict(), indent=4))
# Options deprecation warnings
if options.checkpoint_settings.load_model:
logger.warning(
"The --load option has been deprecated. Please use the --resume option instead."
)
if options.checkpoint_settings.train_model:
logger.warning(
"The --train option has been deprecated. Train mode is now the default. Use "
"--inference to run in inference mode."
)
run_seed = options.env_settings.seed
# Add some timer metadata
add_timer_metadata("mlagents_version", mlagents.trainers.__version__)
add_timer_metadata("mlagents_envs_version", mlagents_envs.__version__)
add_timer_metadata("communication_protocol_version", UnityEnvironment.API_VERSION)
add_timer_metadata("tensorflow_version", tf_utils.tf.__version__)
add_timer_metadata("numpy_version", np.__version__)
if options.env_settings.seed == -1:
run_seed = np.random.randint(0, 10000)
logger.info(f"run_seed set to {run_seed}")
run_training(run_seed, options)
def run_cli(options: RunOptions) -> None:
try:
print(
"""
┐ ╖
╓╖╬│╡ ││╬╖╖
╓╖╬│││││┘ ╬│││││╬╖
╖╬│││││╬╜ ╙╬│││││╖╖ ╗╗╗
╬╬╬╬╖││╦╖ ╖╬││╗╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╜╜╜ ╟╣╣
╬╬╬╬╬╬╬╬╖│╬╖╖╓╬╪│╓╣╣╣╣╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╒╣╣╖╗╣╣╣╗ ╣╣╣ ╣╣╣╣╣╣ ╟╣╣╖ ╣╣╣
╬╬╬╬┐ ╙╬╬╬╬│╓╣╣╣╝╜ ╫╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╟╣╣╣╙ ╙╣╣╣ ╣╣╣ ╙╟╣╣╜╙ ╫╣╣ ╟╣╣
╬╬╬╬┐ ╙╬╬╣╣ ╫╣╣╣╬ ╟╣╣╬ ╟╣╣╣ ╟╣╣╬ ╣╣╣ ╣╣╣ ╟╣╣ ╣╣╣┌╣╣╜
╬╬╬╜ ╬╬╣╣ ╙╝╣╣╬ ╙╣╣╣╗╖╓╗╣╣╣╜ ╟╣╣╬ ╣╣╣ ╣╣╣ ╟╣╣╦╓ ╣╣╣╣╣
╙ ╓╦╖ ╬╬╣╣ ╓╗╗╖ ╙╝╣╣╣╣╝╜ ╘╝╝╜ ╝╝╝ ╝╝╝ ╙╣╣╣ ╟╣╣╣
╩╬╬╬╬╬╬╦╦╬╬╣╣╗╣╣╣╣╣╣╣╝ ╫╣╣╣╣
╙╬╬╬╬╬╬╬╣╣╣╣╣╣╝╜
╙╬╬╬╣╣╣╜
╙
"""
)
except Exception:
print("\n\n\tUnity Technologies\n")
print(get_version_string())
if options.debug:
log_level = logging_util.DEBUG
else:
log_level = logging_util.INFO
logging_util.set_log_level(log_level)
logger.debug("Configuration for this run:")
logger.debug(json.dumps(options.as_dict(), indent=4))
# Options deprecation warnings
if options.checkpoint_settings.load_model:
logger.warning(
"The --load option has been deprecated. Please use the --resume option instead."
)
if options.checkpoint_settings.train_model:
logger.warning(
"The --train option has been deprecated. Train mode is now the default. Use "
"--inference to run in inference mode."
)
run_seed = options.env_settings.seed
num_areas = options.env_settings.num_areas
# Add some timer metadata
add_timer_metadata("mlagents_version", mlagents.trainers.__version__)
add_timer_metadata("mlagents_envs_version", mlagents_envs.__version__)
add_timer_metadata("communication_protocol_version", UnityEnvironment.API_VERSION)
add_timer_metadata("pytorch_version", torch_utils.torch.__version__)
add_timer_metadata("numpy_version", np.__version__)
if options.env_settings.seed == -1:
run_seed = np.random.randint(0, 10000)
logger.debug(f"run_seed set to {run_seed}")
run_training(run_seed, options, num_areas)
