* Attempt to run multigpu in PR CI for now to ensure it works * fix yaml file * forgot to include multigpu tests * fix call to cicd.multigpu * dump dictdefault to dict for yaml conversion * use to_dict instead of casting * 16bit-lora w flash attention, 8bit lora seems problematic * add llama fsdp test * more tests * Add test for qlora + fsdp with prequant * limit accelerate to 2 processes and disable broken qlora+fsdp+bnb test * move multigpu tests to biweekly
45 lines
1.5 KiB
YAML
45 lines
1.5 KiB
YAML
name: docker-multigpu-tests-biweekly
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on:
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workflow_dispatch:
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schedule:
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- cron: '0 0 * * 1,4' # Runs at 00:00 UTC every monday & thursday
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jobs:
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test-axolotl-multigpu:
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if: ${{ ! contains(github.event.commits[0].message, '[skip docker]]') && github.repository_owner == 'axolotl-ai-cloud' }}
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strategy:
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fail-fast: false
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matrix:
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include:
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- cuda: 121
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cuda_version: 12.1.1
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python_version: "3.11"
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pytorch: 2.3.1
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axolotl_extras:
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num_gpus: 2
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runs-on: [self-hosted, modal]
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timeout-minutes: 120
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Install Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.10"
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- name: Install Modal
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run: |
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python -m pip install --upgrade pip
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pip install modal==0.63.64 jinja2
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- name: Update env vars
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run: |
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echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
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echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
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echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
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echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
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echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
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echo "N_GPUS=${{ matrix.num_gpus }}" >> $GITHUB_ENV
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- name: Run tests job on Modal
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run: |
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modal run cicd.multigpu
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