[FEAT] support providing DataLoader arguments to optimize GPU usage #1616
Workflow file for this run
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name: CI | |
on: | |
push: | |
branches: [main] | |
pull_request: | |
branches: [main] | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.ref }} | |
cancel-in-progress: true | |
jobs: | |
run-tests: | |
runs-on: ${{ matrix.os }} | |
strategy: | |
fail-fast: false | |
matrix: | |
os: [ubuntu-latest, macos-13, windows-latest] | |
python-version: ["3.8", "3.9", "3.10", "3.11"] | |
exclude: | |
- os: windows-latest | |
python-version: "3.11" | |
env: | |
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID_NIXTLA_TMP }} | |
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY_NIXTLA_TMP }} | |
steps: | |
- name: Clone repo | |
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
- name: Set up environment | |
uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # 5.3.0 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Install pip requirements | |
run: > | |
pip install uv && | |
uv pip install --system -i https://download.pytorch.org/whl/cpu torch && | |
uv pip install --system "numpy<2" ".[dev]" | |
- name: Tests | |
run: nbdev_test --do_print --timing --n_workers 0 --flags polars |