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misc: added debug logs for AI loading times

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This commit is contained in:
Simone Margaritelli 2019-10-25 11:40:58 +02:00
parent c4ae3c15bd
commit 06d8cc63fb
1 changed files with 21 additions and 8 deletions
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29
pwnagotchi/ai/__init__.py
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@ -1,14 +1,13 @@
import os
import time
import warnings
import logging
# https://stackoverflow.com/questions/40426502/is-there-a-way-to-suppress-the-messages-tensorflow-prints/40426709
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
import warnings
# https://stackoverflow.com/questions/15777951/how-to-suppress-pandas-future-warning
warnings.simplefilter(action='ignore', category=FutureWarning)
import logging
def load(config, agent, epoch, from_disk=True):
config = config['ai']
@ -18,25 +17,39 @@ def load(config, agent, epoch, from_disk=True):
logging.info("[ai] bootstrapping dependencies ...")
start = time.time()
from stable_baselines import A2C
from stable_baselines.common.policies import MlpLstmPolicy
from stable_baselines.common.vec_env import DummyVecEnv
logging.debug("[ai] A2C imported in %.2fs" % (time.time() - start))
start = time.time()
from stable_baselines.common.policies import MlpLstmPolicy
logging.debug("[ai] MlpLstmPolicy imported in %.2fs" % (time.time() - start))
start = time.time()
from stable_baselines.common.vec_env import DummyVecEnv
logging.debug("[ai] DummyVecEnv imported in %.2fs" % (time.time() - start))
start = time.time()
import pwnagotchi.ai.gym as wrappers
logging.debug("[ai] gym wrapper imported in %.2fs" % (time.time() - start))
env = wrappers.Environment(agent, epoch)
env = DummyVecEnv([lambda: env])
logging.info("[ai] bootstrapping model ...")
logging.info("[ai] creating model ...")
start = time.time()
a2c = A2C(MlpLstmPolicy, env, **config['params'])
logging.debug("[ai] A2C crated in %.2fs" % (time.time() - start))
if from_disk and os.path.exists(config['path']):
logging.info("[ai] loading %s ..." % config['path'])
start = time.time()
a2c.load(config['path'], env)
logging.debug("[ai] A2C loaded in %.2fs" % (time.time() - start))
else:
logging.info("[ai] model created:")
for key, value in config['params'].items():
logging.info(" %s: %s" % (key, value))
return a2c
return a2c