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Raise EOFError after training for some steps #15

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GeorgeWuzy opened this issue Apr 14, 2024 · 0 comments
Open

Raise EOFError after training for some steps #15

GeorgeWuzy opened this issue Apr 14, 2024 · 0 comments

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@GeorgeWuzy
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Traceback (most recent call last):
File "/home/george/桌面/KCL/ManiSkill-ViTac2024/scripts/universal_training_script.py", line 168, in
model.learn(
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/site-packages/stable_baselines3/td3/td3.py", line 222, in learn
return super().learn(
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/site-packages/stable_baselines3/common/off_policy_algorithm.py", line 312, in learn
rollout = self.collect_rollouts (
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/site-packages/stable_baselines3/common/off_policy_algorithm.py", line 544, in collect_rollouts
new_obs, rewards, dones, infos = env.step(actions)
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/site-packages/stable_baselines3/common/vec_env/base_vec_env.py", line 197, in step
return self.step_wait()
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/site-packages/stable_baselines3/common/vec_env/subproc_vec_env.py", line 132, in step_wait
results = [remote.recv() for remote in self.remotes]
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/site-packages/stable_baselines3/common/vec_env/subproc_vec_env.py", line 132, in
results = [remote.recv() for remote in self.remotes]
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/multiprocessing/connection.py", line 255, in recv
buf = self._recv_bytes()
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/multiprocessing/connection.py", line 419, in _recv_bytes
buf = self._recv(4)
File "/home/george/miniconda3/envs/mani_vitac/lib/python3.10/multiprocessing/connection.py", line 388, in _recv
raise EOFError
EOFError

After training for 88,000 steps, this error always occurs. I canceled the logging output, but the error still occurs. I ran it using the default parameters in peg_insertion.yaml.

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