Fix tensor parallelism with SGMV to use true rank of the LoRA after splitting #31
Workflow file for this run
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name: Server Tests | |
on: | |
pull_request: | |
paths: | |
- ".github/workflows/server_tests.yaml" | |
- "server/**" | |
- "proto/**" | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
cancel-in-progress: true | |
jobs: | |
run_tests: | |
runs-on: ubuntu-latest | |
steps: | |
- uses: actions/checkout@v2 | |
- name: Set up Python | |
uses: actions/setup-python@v1 | |
with: | |
python-version: 3.9 | |
- name: Install Protoc | |
uses: arduino/setup-protoc@v1 | |
- name: Filter test dependencies | |
run: | | |
# remove stanford-stk from test requirements as it cannot install correctly without GPUs | |
sed -i '/stanford-stk/d' server/requirements.txt | |
sed -i '/stanford-stk/d' server/pyproject.toml | |
- name: Install | |
run: | | |
make install-server install-custom-kernels | |
- name: Run server tests | |
run: | | |
pip install pytest | |
export HUGGING_FACE_HUB_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
pytest -s -vv server/tests |