如果您是像我这样的AI和ML爱好者，那么您可能会在尝试在Mac M1上安装ML代理Python库时遇到挑战。不用担心，我经历了痛苦ð¥²ð，想分享我的经验，使您的过程更加顺利。 ðρ
步骤1：创建虚拟环境
首先，让我们使用venv工具创建一个虚拟环境。打开终端并执行以下命令：
python -m venv rl-env
步骤2：安装ML代理
现在，让我们使用pip安装ML-Agesent。在虚拟环境中运行此命令：
python -m pip install mlagents==0.30.0
步骤3：检查安装
要确保正确安装ML代理，请运行以下命令：
mlagents-learn --help
如果您没有遇到任何错误，请考虑自己幸运ð *！
但是，如果您遇到下面的错误，请放心，我得到了您的支持。
Traceback (most recent call last):
File "/Users/alpha/miniforge3/envs/rl-venv/bin/mlagents-learn", line 5, in <module>
from mlagents.trainers.learn import main
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents/trainers/learn.py", line 2, in <module>
from mlagents import torch_utils
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents/torch_utils/__init__.py", line 1, in <module>
from mlagents.torch_utils.torch import torch as torch # noqa
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents/torch_utils/torch.py", line 6, in <module>
from mlagents.trainers.settings import TorchSettings
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents/trainers/settings.py", line 25, in <module>
from mlagents.trainers.cli_utils import StoreConfigFile, DetectDefault, parser
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents/trainers/cli_utils.py", line 5, in <module>
from mlagents_envs.environment import UnityEnvironment
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents_envs/environment.py", line 12, in <module>
from mlagents_envs.side_channel.side_channel import SideChannel
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents_envs/side_channel/__init__.py", line 5, in <module>
from mlagents_envs.side_channel.default_training_analytics_side_channel import ( # noqa
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents_envs/side_channel/default_training_analytics_side_channel.py", line 7, in <module>
from mlagents_envs.communicator_objects.training_analytics_pb2 import (
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/mlagents_envs/communicator_objects/training_analytics_pb2.py", line 35, in <module>
_descriptor.FieldDescriptor(
File "/Users/alpha/miniforge3/envs/rl-venv/lib/python3.9/site-packages/google/protobuf/descriptor.py", line 561, in _new_
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
步骤4：降级Protobuf
要解决Protobuf问题，您需要降级它。运行以下命令：
pip install protobuf==3.20.0
步骤5：重新检查安装
现在，检查是否正确安装了ML代理：
mlagents-learn --help
步骤6：解决更多错误
您可能会遇到与平面名称空间中未找到的符号有关的另一个错误。这是由于默认情况下在Apple Silicon Mac上没有可用的核心框架。
Traceback (most recent call last):
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/bin/mlagents-learn", line 33, in <module>
sys.exit(load_entry_point('mlagents==0.30.0', 'console_scripts', 'mlagents-learn')())
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/bin/mlagents-learn", line 25, in importlib_load_entry_point
return next(matches).load()
File "/Users/alpha/miniforge3/lib/python3.10/importlib/metadata/__init__.py", line 171, in load
module = import_module(match.group('module'))
File "/Users/alpha/miniforge3/lib/python3.10/importlib/__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 883, in exec_module
File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents/trainers/learn.py", line 2, in <module>
from mlagents import torch_utils
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents/torch_utils/__init__.py", line 1, in <module>
from mlagents.torch_utils.torch import torch as torch # noqa
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents/torch_utils/torch.py", line 6, in <module>
from mlagents.trainers.settings import TorchSettings
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents/trainers/settings.py", line 25, in <module>
from mlagents.trainers.cli_utils import StoreConfigFile, DetectDefault, parser
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents/trainers/cli_utils.py", line 5, in <module>
from mlagents_envs.environment import UnityEnvironment
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents_envs/environment.py", line 49, in <module>
from .rpc_communicator import RpcCommunicator
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/mlagents_envs/rpc_communicator.py", line 1, in <module>
import grpc
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/grpc/__init__.py", line 22, in <module>
from grpc import _compression
File "/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/grpc/_compression.py", line 20, in <module>
from grpc._cython import cygrpc
ImportError: dlopen(/Users/alpha/Files/dev/reinforcement-learning-unity/rl-env/lib/python3.10/site-packages/grpc/_cython/cygrpc.cpython-310-darwin.so, 0x0002): symbol not found in flat namespace '_CFDataGetBytes'
要解决此问题，请使用以下命令从源重建GRPCIO：
pip uninstall grpcio
export GRPC_PYTHON_LDFLAGS=" -framework CoreFoundation"
pip install grpcio --no-binary :all:
包起来
恭喜，您已经成功导航了安装过程！不要让这些打ic劝阻您；故障排除是开发人员旅程不可或缺的一部分。