issues.md

Issue with using VLABench

Issues with octo

Some experiences to create octo evaluation env:

    conda env remove -n octo
    conda create -n octo python=3.10
    conda activate octo
    pip install -e .
    pip install "jax[cuda12_pip]==0.4.20" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html flax==0.7.5 
    pip install tensorflow==2.15.0 pip install dlimp@git+https://github.com/kvablack/dlimp@5edaa4691567873d495633f2708982b42edf1972 
    pip install distrax==0.1.5 
    pip install tensorflow_probability==0.23.0 
    pip install scipy==1.12.0 
    pip install einops==0.6.1
    pip install transformers==4.34.1 
    pip install ml_collections==0.1.0 
    pip install wandb==0.12.14 
    pip install matplotlib 
    pip install gym==0.26 
    pip install plotly==5.16.1
    pip install orbax-checkpoint==0.4.0

Note: Line 5 "cuda12_pip" may be replaced by other proper version according to your machine. Refer to jax installation.

Make sure jax version=0.4.20 and flax version=0.7.5

pip show jax flax jaxlib

Run this to verify installation successful

python -c "from octo.model.octo_model import OctoModel; model = OctoModel.load_pretrained('hf://rail-berkeley/octo-base-1.5'); print('Model loaded successfully')"

Failed to run VLABench on a headless server

To use the headless mode of MUJOCO, set the environment variable MUJOCO_GL=egl.

Please also make sure some neccessary libraries are successfully installed:

sudo apt-get install mesa-utils  
sudo apt-get install libglu1-mesa  
sudo apt-get install libgl1-mesa-dri  
sudo apt-get install libgl1-mesa-glx