I have fixed a lot bugs but still cannot run your project, could you please take a loot? Thanks!!!

SPACE[001/071] STARTED Albertville /home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator GaussianMixture from version 0.22.2.post1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations UserWarning, /home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator GaussianMixture from version 0.22.2.post1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations UserWarning, [ImageGoalEnv] NOISY ACTUATION : False [ImageGoalEnv] NOISY ACTUATION : False [HabitatEnv][Proc 0] Total 1 scenes: ['Albertville'] [HabitatEnv][Proc 2] Total 1 scenes: ['Albertville'] [HabitatEnv][Proc 0] swap building every 2000 [HabitatEnv][Proc 2] swap building every 2000 2023-05-26 22:12:23,351 initializing sim Sim-0 2023-05-26 22:12:23,351 initializing sim Sim-0 /home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator GaussianMixture from version 0.22.2.post1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations UserWarning, /home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator GaussianMixture from version 0.22.2.post1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations UserWarning, [ImageGoalEnv] NOISY ACTUATION : False [ImageGoalEnv] NOISY ACTUATION : False [HabitatEnv][Proc 3] Total 1 scenes: ['Albertville'] [HabitatEnv][Proc 1] Total 1 scenes: ['Albertville'] [HabitatEnv][Proc 3] swap building every 2000 [HabitatEnv][Proc 1] swap building every 2000 2023-05-26 22:12:23,365 initializing sim Sim-0 2023-05-26 22:12:23,365 initializing sim Sim-0 2023-05-26 22:12:25,841 Initializing task Nav-v0 2023-05-26 22:12:26,076 Initializing task Nav-v0 2023-05-26 22:12:26,093 Initializing task Nav-v0 2023-05-26 22:12:26,103 Initializing task Nav-v0 Process ForkServerProcess-3: Traceback (most recent call last): File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run() File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 99, in run self._target(*self._args, self._kwargs) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/contextlib.py", line 74, in inner return func(*args, *kwds) File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 233, in _worker_env env = env_fn(env_fn_args) File "/home/sly/TopologicalSemanticGraphMemory/collect_il_data.py", line 47, in make_env_fn env = eval(config_env.ENV_NAME)(config=config_env) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 890, in init super(MultiImageGoalEnv, self).init(config) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 128, in init obs_dict['object_mask'] = Box(low=-np.Inf, high=np.Inf, shape=(self.config.memory.num_objects,), dtype=np.bool) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 109, in init low = _broadcast(low, dtype, shape, inf_sign="-") # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 329, in _broadcast value = get_inf(dtype, inf_sign) if np.isinf(value) else value # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 310, in get_inf raise ValueError(f"Unknown dtype {dtype} for infinite bounds") ValueError: Unknown dtype <class 'bool'> for infinite bounds Process ForkServerProcess-4: Traceback (most recent call last): File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run() File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 99, in run self._target(*self._args, *self._kwargs) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/contextlib.py", line 74, in inner return func(args, kwds) File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 233, in _worker_env env = env_fn(env_fn_args) File "/home/sly/TopologicalSemanticGraphMemory/collect_il_data.py", line 47, in make_env_fn env = eval(config_env.ENV_NAME)(config=config_env) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 890, in init super(MultiImageGoalEnv, self).init(config) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 128, in init obs_dict['object_mask'] = Box(low=-np.Inf, high=np.Inf, shape=(self.config.memory.num_objects,), dtype=np.bool) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 109, in init low = _broadcast(low, dtype, shape, inf_sign="-") # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 329, in _broadcast value = get_inf(dtype, inf_sign) if np.isinf(value) else value # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 310, in get_inf raise ValueError(f"Unknown dtype {dtype} for infinite bounds") ValueError: Unknown dtype <class 'bool'> for infinite bounds Process ForkServerProcess-1: Traceback (most recent call last): File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run() File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 99, in run self._target(self._args, self._kwargs) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/contextlib.py", line 74, in inner return func(*args, kwds) File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 233, in _worker_env env = env_fn(env_fn_args) File "/home/sly/TopologicalSemanticGraphMemory/collect_il_data.py", line 47, in make_env_fn env = eval(config_env.ENV_NAME)(config=config_env) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 890, in init super(MultiImageGoalEnv, self).init(config) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 128, in init obs_dict['object_mask'] = Box(low=-np.Inf, high=np.Inf, shape=(self.config.memory.num_objects,), dtype=np.bool) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 109, in init low = _broadcast(low, dtype, shape, inf_sign="-") # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 329, in _broadcast value = get_inf(dtype, inf_sign) if np.isinf(value) else value # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 310, in get_inf raise ValueError(f"Unknown dtype {dtype} for infinite bounds") ValueError: Unknown dtype <class 'bool'> for infinite bounds Process ForkServerProcess-2: Traceback (most recent call last): File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap self.run() File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/process.py", line 99, in run self._target(self._args, self._kwargs) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/contextlib.py", line 74, in inner return func(*args, kwds) File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 233, in _worker_env env = env_fn(*env_fn_args) File "/home/sly/TopologicalSemanticGraphMemory/collect_il_data.py", line 47, in make_env_fn env = eval(config_env.ENV_NAME)(config=config_env) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 890, in init super(MultiImageGoalEnv, self).init(config) File "/home/sly/TopologicalSemanticGraphMemory/env_utils/imagegoal_env.py", line 128, in init obs_dict['object_mask'] = Box(low=-np.Inf, high=np.Inf, shape=(self.config.memory.num_objects,), dtype=np.bool) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 109, in init low = _broadcast(low, dtype, shape, inf_sign="-") # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 329, in _broadcast value = get_inf(dtype, inf_sign) if np.isinf(value) else value # type: ignore File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/site-packages/gym/spaces/box.py", line 310, in get_inf raise ValueError(f"Unknown dtype {dtype} for infinite bounds") ValueError: Unknown dtype <class 'bool'> for infinite bounds Traceback (most recent call last): File "collect_il_data.py", line 288, in main() File "collect_il_data.py", line 284, in main data_collect(config, DATA_DIR, space_id, len(scenes), start_idx, ep_per_env[space]) File "collect_il_data.py", line 74, in data_collect auto_reset_done=False File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 194, in init read_fn() for read_fn in self._connection_read_fns File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 194, in read_fn() for read_fn in self._connection_read_fns File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 97, in call res = self.read_fn() File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/utils/pickle5_multiprocessing.py", line 68, in recv buf = self.recv_bytes() File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/connection.py", line 216, in recv_bytes buf = self._recv_bytes(maxlength) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/connection.py", line 407, in _recv_bytes buf = self._recv(4) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/connection.py", line 379, in _recv chunk = read(handle, remaining) ConnectionResetError: [Errno 104] Connection reset by peer Exception ignored in: <function VectorEnv.del at 0x7f4fb5be5f80> Traceback (most recent call last): File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 592, in del self.close() File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 460, in close read_fn() File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/core/vector_env.py", line 97, in call res = self.read_fn() File "/home/sly/TopologicalSemanticGraphMemory/programs/habitat-lab-v21/habitat/utils/pickle5_multiprocessing.py", line 68, in recv buf = self.recv_bytes() File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/connection.py", line 216, in recv_bytes buf = self._recv_bytes(maxlength) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/connection.py", line 407, in _recv_bytes buf = self._recv(4) File "/home/sly/anaconda3/envs/tsgm/lib/python3.7/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError:

rllab-snu / TopologicalSemanticGraphMemory

Error when run collect_il_data.py #4

I have fixed a lot bugs but still cannot run your project, could you please take a loot? Thanks!!!