Mac ml-agents release 19(v0

Mac ml-agents release 19(v0.28.0)踩雷

主要参考这篇博客：

ML-Agents 在Mac M1上的安装

跟着这篇安装完，在激活虚拟环境的终端输入mlagents-learn检验，如果正常应输出如下：

后面超时报错不用管，因为还没在unity中启动训练环境。

但是在跟完这篇博客后我这里并未成功执行此命令，报了几个错，下面是报错和对应解决方式：

! python3.8!!!!!!python3.8!!!!!博客里pytorch的下载那个cpu/torch-1.9.0-cp38-none-macosx_11_0_arm64.whl的38是指的py3.8，第一次用了3.9环境报了没能解决的错，重开了

1.protobuf要降级

-终端报错：

  ...
  File "/opt/anaconda3/envs/ml-agents/lib/python3.8/site-packages/google/protobuf/descriptor.py", line 621, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot 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If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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).
	...
(ml-agents) acciomac@acciomacdeMacBook-Pro ml-agents-release_19 % pip install 'protobuf<=3.20.1' --force-reinstall

-解决方式：

来源：https://stackoverflow.com/questions/72441758/typeerror-descriptors-cannot-not-be-created-directly

采用命令，强制降级：

pip install 'protobuf<=3.20.1' --force-reinstall

2.numpy的np.float被弃用导致

-终端报错：

  File "/opt/anaconda3/envs/ml-agents/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

-解决方式：

参考：https://blog.csdn.net/qq_45934285/article/details/131120167

可以改代码，但不方便，我直接降级了。

采用命令：

conda install numpy==1.23.5

3.没有sixModule

-终端报错：

  File "/opt/anaconda3/envs/ml-agents/lib/python3.8/site-packages/torch/utils/tensorboard/summary.py", line 8, in <module>
    from six.moves import range
ModuleNotFoundError: No module named 'six'

-解决方式：

下就好了，采用命令：

pip install six