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Hi,
I stuck with this error when I run the training file for RL training like this:
python3 simple_rl_train.py -p ddpg
/home/DI-drive/didrive/lib/python3.8/site-packages/treevalue/tree/integration/torch.py:21: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
register_for_torch(TreeValue)
/home/DI-drive/didrive/lib/python3.8/site-packages/treevalue/tree/integration/torch.py:22: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
register_for_torch(FastTreeValue)
[07-04 10:02:39] WARNING If you want to use numba to default_helper.py:450
speed up segment tree, please
install numba first
/home/DI-drive/didrive/lib/python3.8/site-packages/gym/envs/registration.py:440: UserWarning: WARN: The registry.env_specs property along with EnvSpecTree is deprecated. Please use registry directly as a dictionary instead.
logger.warn(
[ENV] Register environments: ['SimpleCarla-v1', 'ScenarioCarla-v1'].
/home/DI-drive/didrive/lib/python3.8/site-packages/gym/core.py:329: DeprecationWarning: WARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set new_step_api=True to use new step API. This will be the default behaviour in future.
deprecation(
Traceback (most recent call last):
File "simple_rl_train.py", line 243, in
main(args)
File "simple_rl_train.py", line 153, in main
collector_env = SyncSubprocessEnvManager(
File "/home/DI-drive/didrive/lib/python3.8/site-packages/ding/envs/env_manager/subprocess_env_manager.py", line 79, in init
super().init(env_fn, cfg)
File "/home/DI-drive/didrive/lib/python3.8/site-packages/ding/envs/env_manager/base_env_manager.py", line 135, in init
self._env_ref = self._env_fn0
File "simple_rl_train.py", line 35, in wrapped_continuous_env
return BenchmarkEnvWrapper(ContinuousEnvWrapper(env), wrapper_cfg)
File "/home/DI-drive/didrive/lib/python3.8/site-packages/core/envs/drive_env_wrapper.py", line 153, in init
pose_pairs = read_pose_txt(benchmark_dir, poses_txt)
File "/home/DI-drive/didrive/lib/python3.8/site-packages/core/data/benchmark/benchmark_utils.py", line 32, in read_pose_txt
pose_pairs = pairs_file.read_text().strip().split('\n')
File "/usr/lib/python3.8/pathlib.py", line 1236, in read_text
with self.open(mode='r', encoding=encoding, errors=errors) as f:
File "/usr/lib/python3.8/pathlib.py", line 1222, in open
return io.open(self, mode, buffering, encoding, errors, newline,
File "/usr/lib/python3.8/pathlib.py", line 1078, in _opener
return self._accessor.open(self, flags, mode)
FileNotFoundError: [Errno 2] No such file or directory: '/home/DI-drive/didrive/lib/python3.8/site-packages/core/data/benchmark/corl2017/099/full_Town01.txt'
How to resolve this?
Also I want to know is this supports multi agent scenario?
The text was updated successfully, but these errors were encountered:
Hi,
I stuck with this error when I run the training file for RL training like this:
python3 simple_rl_train.py -p ddpg
/home/DI-drive/didrive/lib/python3.8/site-packages/treevalue/tree/integration/torch.py:21: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
register_for_torch(TreeValue)
/home/DI-drive/didrive/lib/python3.8/site-packages/treevalue/tree/integration/torch.py:22: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
register_for_torch(FastTreeValue)
[07-04 10:02:39] WARNING If you want to use numba to default_helper.py:450
speed up segment tree, please
install numba first
/home/DI-drive/didrive/lib/python3.8/site-packages/gym/envs/registration.py:440: UserWarning: WARN: The registry.env_specs property along with EnvSpecTree is deprecated. Please use registry directly as a dictionary instead.
logger.warn(
[ENV] Register environments: ['SimpleCarla-v1', 'ScenarioCarla-v1'].
/home/DI-drive/didrive/lib/python3.8/site-packages/gym/core.py:329: DeprecationWarning: WARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set new_step_api=True to use new step API. This will be the default behaviour in future.
deprecation(
Traceback (most recent call last):
File "simple_rl_train.py", line 243, in
main(args)
File "simple_rl_train.py", line 153, in main
collector_env = SyncSubprocessEnvManager(
File "/home/DI-drive/didrive/lib/python3.8/site-packages/ding/envs/env_manager/subprocess_env_manager.py", line 79, in init
super().init(env_fn, cfg)
File "/home/DI-drive/didrive/lib/python3.8/site-packages/ding/envs/env_manager/base_env_manager.py", line 135, in init
self._env_ref = self._env_fn0
File "simple_rl_train.py", line 35, in wrapped_continuous_env
return BenchmarkEnvWrapper(ContinuousEnvWrapper(env), wrapper_cfg)
File "/home/DI-drive/didrive/lib/python3.8/site-packages/core/envs/drive_env_wrapper.py", line 153, in init
pose_pairs = read_pose_txt(benchmark_dir, poses_txt)
File "/home/DI-drive/didrive/lib/python3.8/site-packages/core/data/benchmark/benchmark_utils.py", line 32, in read_pose_txt
pose_pairs = pairs_file.read_text().strip().split('\n')
File "/usr/lib/python3.8/pathlib.py", line 1236, in read_text
with self.open(mode='r', encoding=encoding, errors=errors) as f:
File "/usr/lib/python3.8/pathlib.py", line 1222, in open
return io.open(self, mode, buffering, encoding, errors, newline,
File "/usr/lib/python3.8/pathlib.py", line 1078, in _opener
return self._accessor.open(self, flags, mode)
FileNotFoundError: [Errno 2] No such file or directory: '/home/DI-drive/didrive/lib/python3.8/site-packages/core/data/benchmark/corl2017/099/full_Town01.txt'
How to resolve this?
Also I want to know is this supports multi agent scenario?
The text was updated successfully, but these errors were encountered: