CI: Cannot set --env CUDA_VISIBLE_DEVICES for docker run when using ng --gpus "device=${CUDA_VISIBLE_DEVICES:-all}" - dropping --env arg.

[ggorman]

CI: Cannot set --env CUDA_VISIBLE_DEVICES for docker run when using ng --gpus "device=${CUDA_VISIBLE_DEVICES:-all}" - dropping --env arg.

To see why, consider if we have export CUDA_VISIBLE_DEVICES=1, then setting --env CUDA_VISIBLE_DEVICES for docker run means that the docker runtime env will contain CUDA_VISIBLE_DEVICES=1; however, when you set docker run --gpus "device=${CUDA_VISIBLE_DEVICES:-all}", the docker runtime will only use GPU 1 but it renumbers it as zero. Therefore, when you run a cuda code inside docker the runtime only sees a single GPU device with device ID 0, but CUDA_VISIBLE_DEVICES is set to device id 1, and therefore you get an (uncaught) exception.

[Copilot]

Pull Request Overview

This PR fixes a Docker GPU configuration issue in the CI workflow where setting both --env CUDA_VISIBLE_DEVICES and --gpus "device=${CUDA_VISIBLE_DEVICES:-all}" causes runtime conflicts. The Docker runtime renumbers GPUs starting from 0, but the environment variable retains the original device ID, leading to CUDA exceptions.

• Removes the --env CUDA_VISIBLE_DEVICES flag from the Docker run command to prevent GPU ID mismatches

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 92.11%. Comparing base (70c3ed1) to head (b0d3c60).
⚠️ Report is 3 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #2710   +/-   ##
=======================================
  Coverage   92.11%   92.11%           
=======================================
  Files         248      248           
  Lines       49641    49641           
  Branches     4367     4367           
=======================================
  Hits        45726    45726           
  Misses       3208     3208           
  Partials      707      707           

Flag	Coverage Δ
pytest-gpu-aomp-amdgpuX	71.07% <ø> (ø)
pytest-gpu-nvc-nvidiaX	72.05% <ø> (+0.01%)	⬆️

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[FabioLuporini]

Uncontroversial, thanks