Open XavierGeerinck opened 2 months ago
@XavierGeerinck Thanks for raising this issue. Can you provide a reproducable example? I guess this might be in the new API stack which does not support asynchronous vector environments (yet - we wait for a gymnasium
update).
Awesome! We indeed are thinking the same and are awaiting the 1.0.0a2 release to start testing . Is there any ETA currently that you are aware of?
This should come soon, but we know of no ETA in regard to it. Would it help, for the time being to just sample with more Env Runners but a single env in each of them?
What happened + What you expected to happen
I am trying to get training to work while setting
remote_worker_envs
to true, but I am getting anEOFError
Versions / Dependencies
platform : macOS 14.2 23C64 (arm64) memory : 48.0 GB cpu : 16 cores mac : 6a:3c:67:54:c1:4d ip : 192.168.4.76 model_info : Mac15,9 (MUW73LL/A) kernel_version : 23.2.0 git_commit_sha : Unknown python_version : 3.11.8 (~/.venv/bin/python) pip_version : 24.0 (~/.venv/lib/python3.11/site-packages/pip) torch_version : 2.3.0 docker_version : 24.0.7, kubernetes_version : 1.28.2 ray_version : 2.31.0 nvidia_smi : Unknown,
nvidia-smi
was not found nvidia_cuda : Unknown,nvcc
was not found is_tty : TrueReproduction script
Issue Severity
High: It blocks me from completing my task.