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Farama-Foundation / Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
https://gymnasium.farama.org
MIT License
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Can Gymnasium be used on the aarch64 architecture? #1025

Open zhoujingyu13687306871 opened 2 months ago

zhoujingyu13687306871 commented 2 months ago

Question

I ran pip install "gymnasium[all]" on an aarch64 computer, and the installation seemed to go smoothly. However, when I ran pip list to check the installed modules, I noticed that the result seemed off. `(gymnasium0.29.1_py39) [scx6001@paraai-n32-h-01-ccs-master-1 gym]$ pip list Package Version

gymnasium 0.0.1 pip 24.0 setuptools 69.5.1 wheel 0.43.0 In contrast, I get a completely different result when running the same command on an x86 machine. Does this mean that Gymnasium currently does not support the aarch64 architecture? Is there a solution to this issue? (gymnasium0.29.1_py39) [scz0002@ln01 ~]$ pip list Package Version

absl-py 2.1.0 ale-py 0.8.1 box2d-py 2.3.5 certifi 2024.2.2 cffi 1.16.0 charset-normalizer 3.3.2 cloudpickle 3.0.0 contourpy 1.2.1 cycler 0.12.1 Cython 0.29.37 decorator 4.4.2 etils 1.5.2 Farama-Notifications 0.0.4 fasteners 0.19 filelock 3.13.4 fonttools 4.51.0 fsspec 2024.3.1 glfw 2.7.0 gymnasium 0.29.1 idna 3.7 imageio 2.34.0 imageio-ffmpeg 0.4.9 importlib_metadata 7.1.0 importlib_resources 6.4.0 jax 0.4.26 jaxlib 0.4.26 Jinja2 3.1.3 kiwisolver 1.4.5 lz4 4.3.3 MarkupSafe 2.1.5 matplotlib 3.8.4 ml-dtypes 0.4.0 moviepy 1.0.3 mpmath 1.3.0 mujoco 3.1.4 mujoco-py 2.1.2.14 networkx 3.2.1 numpy 1.26.4 nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.19.3 nvidia-nvjitlink-cu12 12.4.127 nvidia-nvtx-cu12 12.1.105 opencv-python 4.9.0.80 opt-einsum 3.3.0 packaging 24.0 pillow 10.3.0 pip 23.3.1 proglog 0.1.10 pycparser 2.22 pygame 2.5.2 PyOpenGL 3.1.7 pyparsing 3.1.2 python-dateutil 2.9.0.post0 requests 2.31.0 scipy 1.13.0 setuptools 68.2.2 Shimmy 0.2.1 six 1.16.0 swig 4.2.1 sympy 1.12 torch 2.2.2 tqdm 4.66.2 triton 2.2.0 typing_extensions 4.11.0 urllib3 2.2.1 wheel 0.41.2 zipp 3.18.1 `

Kallinteris-Andreas commented 2 months ago

From my testing With my phone (aarch V8) the core api works fine, but not all environmnets May work since they rely on third party libraries (mujoco worked fine)

Also there are users with apple macs running gymnasium with no issues

As with your particular case, for some reason you appear to have installed gymnasium version 0.0.1

Try pip install gymnasium==1.0.0a1