I install tensorflow2.4.0 , numpy1.19.3 to train using RTX3060ti on Anaconda3,but mlagents-envs 0.23.0 requires numpy1.14.1
Am I unable to learn using the GPU?
When the numpy version was 1.14.5, I got the following message
(ml-agents) H:\unity\learn_robot_stand>mlagents-learn config/learn_robot.yaml --run-id=robot_52
Traceback (most recent call last):
File "H:\Anaconda3\envs\ml-agents\Scripts\mlagents-learn-script.py", line 33, in <module>
sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')())
File "H:\Anaconda3\envs\ml-agents\Scripts\mlagents-learn-script.py", line 25, in importlib_load_entry_point
return next(matches).load()
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\importlib_metadata\__init__.py", line 96, in load
module = import_module(match.group('module'))
File "H:\Anaconda3\envs\ml-agents\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "h:\unity\ml-agents-v12\ml-agents\mlagents\trainers\learn.py", line 2, in <module>
from mlagents import torch_utils
File "h:\unity\ml-agents-v12\ml-agents\mlagents\torch_utils\__init__.py", line 1, in <module>
from mlagents.torch_utils.torch import torch as torch # noqa
File "h:\unity\ml-agents-v12\ml-agents\mlagents\torch_utils\torch.py", line 29, in <module>
import torch # noqa I201
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\torch\__init__.py", line 190, in <module>
from torch._C import *
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
And when the numpy version was 1.19.2, I got the following
(ml-agents) H:\unity\learn_robot_stand>mlagents-learn config/learn_robot.yaml --run-id=robot_52
Traceback (most recent call last):
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 567, in _build_master
ws.require(__requires__)
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 884, in require
needed = self.resolve(parse_requirements(requirements))
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 775, in resolve
raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (numpy 1.19.2 (h:\anaconda3\envs\ml-agents\lib\site-packages), Requirement.parse('numpy<1.19.0,>=1.14.1'), {'mlagents-envs'})
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "H:\Anaconda3\envs\ml-agents\Scripts\mlagents-learn-script.py", line 33, in <module>
sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')())
File "H:\Anaconda3\envs\ml-agents\Scripts\mlagents-learn-script.py", line 25, in importlib_load_entry_point
return next(matches).load()
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\importlib_metadata\__init__.py", line 96, in load
module = import_module(match.group('module'))
File "H:\Anaconda3\envs\ml-agents\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "h:\unity\ml-agents-v12\ml-agents\mlagents\trainers\learn.py", line 2, in <module>
from mlagents import torch_utils
File "h:\unity\ml-agents-v12\ml-agents\mlagents\torch_utils\__init__.py", line 1, in <module>
from mlagents.torch_utils.torch import torch as torch # noqa
File "h:\unity\ml-agents-v12\ml-agents\mlagents\torch_utils\torch.py", line 4, in <module>
import pkg_resources
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 3238, in <module>
@_call_aside
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 3222, in _call_aside
f(*args, **kwargs)
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 3251, in _initialize_master_working_set
working_set = WorkingSet._build_master()
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 569, in _build_master
return cls._build_from_requirements(__requires__)
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 582, in _build_from_requirements
dists = ws.resolve(reqs, Environment())
File "H:\Anaconda3\envs\ml-agents\lib\site-packages\pkg_resources\__init__.py", line 770, in resolve
raise DistributionNotFound(req, requirers)
pkg_resources.DistributionNotFound: The 'wheel>=0.26; python_version >= "3"' distribution was not found and is required by tensorboard
What should I do?
I use a translation because my English is not good enough.
So I may not be able to explain well.