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torch-regr
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100
.github/workflows/push_check.yml
vendored
Normal file
100
.github/workflows/push_check.yml
vendored
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@@ -0,0 +1,100 @@
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name: Slow Test Memory Checks
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on:
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push:
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branches: [ shm-size ]
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env:
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DIFFUSERS_IS_CI: yes
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HF_HUB_ENABLE_HF_TRANSFER: 1
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OMP_NUM_THREADS: 8
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MKL_NUM_THREADS: 8
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PYTEST_TIMEOUT: 600
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RUN_SLOW: yes
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PIPELINE_USAGE_CUTOFF: 50000
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jobs:
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setup_torch_cuda_pipeline_matrix:
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name: Setup Torch Pipelines CUDA Slow Tests Matrix
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runs-on: [ self-hosted, intel-cpu, 8-cpu, ci ]
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container:
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image: diffusers/diffusers-pytorch-cpu
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outputs:
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pipeline_test_matrix: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Install dependencies
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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- name: Environment
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run: |
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python utils/print_env.py
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- name: Fetch Pipeline Matrix
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id: fetch_pipeline_matrix
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run: |
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matrix=$(python utils/fetch_torch_cuda_pipeline_test_matrix.py)
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echo $matrix
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echo "pipeline_test_matrix=$matrix" >> $GITHUB_OUTPUT
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- name: Pipeline Tests Artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v2
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with:
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name: test-pipelines.json
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path: reports
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torch_pipelines_cuda_tests:
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name: Torch Pipelines CUDA Slow Tests
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needs: setup_torch_cuda_pipeline_matrix
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strategy:
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max-parallel: 4
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fail-fast: false
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matrix:
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module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
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runs-on: [single-gpu, nvidia-gpu, t4, ci]
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container:
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image: diffusers/diffusers-pytorch-cuda
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options: --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface/diffusers:/mnt/cache/ --gpus 0
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Install dependencies
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run: |
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apt-get update && apt-get install libsndfile1-dev libgl1 -y
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
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python -m uv pip install hf_transfer
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- name: Environment
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run: |
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python utils/print_env.py
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- name: Slow PyTorch CUDA checkpoint tests on Ubuntu
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env:
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HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "not Flax and not Onnx" \
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--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
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tests/pipelines/${{ matrix.module }}
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- name: Failure short reports
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if: ${{ failure() }}
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run: |
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cat reports/tests_pipeline_${{ matrix.module }}_cuda_stats.txt
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cat reports/tests_pipeline_${{ matrix.module }}_cuda_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v2
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with:
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name: pipeline_${{ matrix.module }}_test_reports
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path: reports
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@@ -76,7 +76,6 @@ def fetch_pipeline_modules_to_test():
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test_modules = []
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for pipeline_name in pipeline_objects:
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module = getattr(diffusers, pipeline_name)
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test_module = module.__module__.split(".")[-2].strip()
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test_modules.append(test_module)
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