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Speed up github workflows by not installing cuda server dependencies

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- 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
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3
.github/workflows/test.yml vendored
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@@ -76,7 +76,8 @@ jobs:
- name: ⬇️ Install Application
env:
PIP_EXTRA_INDEX_URL: "https://download.pytorch.org/whl/cpu https://abetlen.github.io/llama-cpp-python/whl/cpu"
UV_INDEX: "https://download.pytorch.org/whl/cpu"
UV_INDEX_STRATEGY: "unsafe-best-match"
CUDA_VISIBLE_DEVICES: ""
run: sed -i 's/dynamic = \["version"\]/version = "0.0.0"/' pyproject.toml && uv sync --all-extras