You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: