mirror of
https://github.com/jayofelony/pwnagotchi.git
synced 2025-07-01 18:37:27 -04:00
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
import os
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import time
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import logging
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# https://stackoverflow.com/questions/40426502/is-there-a-way-to-suppress-the-messages-tensorflow-prints/40426709
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# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
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def load(config, agent, epoch, from_disk=True):
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config = config['ai']
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if not config['enabled']:
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logging.info("ai disabled")
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return False
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try:
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begin = time.time()
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logging.info("[AI] bootstrapping dependencies ...")
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start = time.time()
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SB_BACKEND = "stable_baselines3"
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from stable_baselines3 import A2C
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logging.debug("[AI] A2C imported in %.2fs" % (time.time() - start))
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start = time.time()
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from stable_baselines3.a2c import MlpPolicy
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logging.debug("[AI] MlpPolicy imported in %.2fs" % (time.time() - start))
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SB_A2C_POLICY = MlpPolicy
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start = time.time()
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from stable_baselines3.common.vec_env import DummyVecEnv
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logging.debug("[AI] DummyVecEnv imported in %.2fs" % (time.time() - start))
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start = time.time()
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import pwnagotchi.ai.gym as wrappers
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logging.debug("[AI] gym wrapper imported in %.2fs" % (time.time() - start))
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env = wrappers.Environment(agent, epoch)
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env = DummyVecEnv([lambda: env])
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logging.info("[AI] creating model ...")
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start = time.time()
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a2c = A2C(SB_A2C_POLICY, env, **config['params'])
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logging.debug("[AI] A2C created in %.2fs" % (time.time() - start))
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if from_disk and os.path.exists(config['path']):
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logging.info("[AI] loading %s ..." % config['path'])
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start = time.time()
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a2c.load(config['path'], env)
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logging.debug("[AI] A2C loaded in %.2fs" % (time.time() - start))
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else:
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logging.info("[AI] model created:")
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for key, value in config['params'].items():
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logging.info(" %s: %s" % (key, value))
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logging.debug("[AI] total loading time is %.2fs" % (time.time() - begin))
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return a2c
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except Exception as e:
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logging.exception("[AI] error while starting AI (%s)", e)
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logging.info("[AI] Deleting brain and restarting.")
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os.system("rm /root/brain.nn && service pwnagotchi restart")
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logging.warning("[AI] AI not loaded!")
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return False
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