fc4e37920b
* Prepare for transformers v5 upgrade * fix hf cli * update for hf hub changes * fix tokenizer apply_chat_template args * remap include_tokens_per_second * fix tps * handle migration for warmup * use latest hf hub * Fix scan -> ls * fix import * fix for renaming of mistral common tokenizer -> backend * update for fixed tokenziation for llama * Skip phi35 tests for now * remove mistral patch fixed upstream in huggingface/transformers#41439 * use namespacing for patch * don't rely on sdist for e2e tests for now * run modal ci without waiting too * Fix dep for ci * fix imports * Fix fp8 check * fsdp2 fixes * fix version handling * update fsdp version tests for new v5 behavior * Fail multigpu tests after 3 failures * skip known v5 broken tests for now and cleanup * bump deps * unmark skipped test * re-enable test_fsdp_qlora_prequant_packed test * increase multigpu ci timeout * skip broken gemma3 test * reduce timout back to original 120min now that the hanging test is skipped * fix for un-necessary collator for pretraining with bsz=1 * fix: safe_serialization deprecated in transformers v5 rc01 (#3318) * torch_dtype deprecated * load model in float32 for consistency with tests * revert some test fixtures back * use hf cache ls instead of scan * don't strip fsdp_version more fdsp_Version fixes for v5 fix version in fsdp_config fix aliasing fix fsdp_version check check fsdp_version is 2 in both places * Transformers v5 rc2 (#3347) * bump dep * use latest fbgemm, grab model config as part of fixture, un-skip test * import AutoConfig * don't need more problematic autoconfig when specifying config.json manually * add fixtures for argilla ultrafeedback datasets * download phi4-reasoning * fix arg * update tests for phi fast tokenizer changes * use explicit model types for gemma3 --------- Co-authored-by: Wing Lian <wing@axolotl.ai> * fix: AutoModelForVision2Seq -> AutoModelForImageTextToText * chore: remove duplicate * fix: attempt fix gemma3 text mode * chore: lint * ga release of v5 * need property setter for name_or_path for mistral tokenizer * vllm not compatible with transformers v5 * setter for chat_template w mistral too --------- Co-authored-by: NanoCode012 <nano@axolotl.ai> Co-authored-by: salman <salman.mohammadi@outlook.com>
84 lines
2.8 KiB
YAML
84 lines
2.8 KiB
YAML
name: docker-multigpu-tests-biweekly
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on:
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pull_request:
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paths:
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- 'tests/e2e/multigpu/**.py'
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- 'requirements.txt'
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- 'setup.py'
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- 'pyproject.toml'
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- '.github/workflows/multi-gpu-e2e.yml'
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- 'src/axolotl/core/trainers/mixins/sequence_parallel.py'
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- 'src/axolotl/utils/distributed.py'
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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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# Cancel jobs on the same ref if a new one is triggered
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
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env:
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MODAL_IMAGE_BUILDER_VERSION: "2025.06"
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jobs:
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test-axolotl-multigpu:
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if: ${{ ! contains(github.event.commits[0].message, '[skip e2e]') && github.repository_owner == 'axolotl-ai-cloud' && (github.event_name != 'pull_request' || !github.event.pull_request.draft) }}
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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: 128
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cuda_version: 12.8.1
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python_version: "3.11"
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pytorch: 2.8.0
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axolotl_extras: fbgemm-gpu
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num_gpus: 2
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- cuda: 128
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cuda_version: 12.8.1
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python_version: "3.11"
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pytorch: 2.9.1
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axolotl_extras: "fbgemm-gpu"
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num_gpus: 2
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- cuda: 129
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cuda_version: 12.9.1
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python_version: "3.12"
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pytorch: 2.9.1
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axolotl_extras: "fbgemm-gpu"
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num_gpus: 2
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dockerfile: "Dockerfile-uv.jinja"
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- cuda: 130
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cuda_version: 13.0.0
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python_version: "3.11"
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pytorch: 2.9.1
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axolotl_extras:
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# axolotl_extras: fbgemm-gpu
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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: "3.11"
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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==1.3.0.post1 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 }}" >> $GITHUB_ENV
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echo "CODECOV_TOKEN=${{ secrets.CODECOV_TOKEN }}" >> $GITHUB_ENV
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echo "E2E_DOCKERFILE=${{ matrix.dockerfile || 'Dockerfile.jinja'}}" >> $GITHUB_ENV
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- name: Run tests job on Modal
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run: |
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modal run -m cicd.multigpu
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