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For now this literally just runs `NGPU=4 ./run_llama_train.sh` but I verified at least it catches problems. As a follow up, we should integrate mgpu test infra from pytorch and set up actual unit tests to run in this job. We should probably also keep testing the run_llama_train.sh script, and add other combinations of 2D parallelism to ensure they all keep working. <img width="2120" alt="image" src="https://github.com/pytorch/torchtrain/assets/4984825/2c235e9a-04ed-4f2d-9915-67de39d78e1c">
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name: 4 GPU Unit Test | ||
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on: | ||
push: | ||
branches: [ main ] | ||
pull_request: | ||
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concurrency: | ||
group: unit-test${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | ||
cancel-in-progress: true | ||
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defaults: | ||
run: | ||
shell: bash -l -eo pipefail {0} | ||
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jobs: | ||
unit_tests_4gpu: | ||
runs-on: linux.g5.12xlarge.nvidia.gpu | ||
strategy: | ||
matrix: | ||
python-version: ['3.10'] | ||
steps: | ||
- name: Check out repo | ||
uses: actions/checkout@v3 | ||
- name: Setup conda env | ||
uses: conda-incubator/setup-miniconda@v2 | ||
with: | ||
auto-update-conda: true | ||
miniconda-version: "latest" | ||
activate-environment: test | ||
python-version: ${{ matrix.python-version }} | ||
- name: Update pip | ||
run: python -m pip install --upgrade pip | ||
- name: Install dependencies | ||
run: | | ||
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121 | ||
python -m pip install -r requirements.txt | ||
python -m pip install -r dev-requirements.txt | ||
python -m pip install -e . | ||
- name: Run NGPU=4 ./run_llama_train.sh | ||
run: NGPU=4 ./run_llama_train.sh | ||
- name: Upload Coverage to Codecov | ||
uses: codecov/codecov-action@v3 |
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