Speed up github workflows by not installing cuda server dependencies

- CI runners don't have GPUs
- Pytorch related Nvidia cuda packages are not required for testing,
  evals or pre-commit checks.
- Avoiding these massive downloads should speed up workflow run.
This commit is contained in:
Debanjum
2025-08-01 23:23:44 -07:00
parent 8ad38dfe11
commit f2bd07044e
3 changed files with 10 additions and 1 deletions

View File

@@ -48,6 +48,10 @@ jobs:
sudo apt update && sudo apt install -y libegl1
- name: ⬇️ Install Application
env:
UV_INDEX: "https://download.pytorch.org/whl/cpu"
UV_INDEX_STRATEGY: "unsafe-best-match"
CUDA_VISIBLE_DEVICES: ""
run: uv sync --all-extras
- name: 🌡️ Validate Application