mirror of
https://github.com/huggingface/diffusers.git
synced 2026-02-13 06:15:31 +08:00
b2e2d1411c
* add method to enable cuda with minimal gpu usage to stable diffusion * add test to minimal cuda memory usage * ensure all models but unet are onn torch.float32 * move to cpu_offload along with minor internal changes to make it work * make it test against accelerate master branch * coming back, its official: I don't know how to make it test againt the master branch from accelerate * make it install accelerate from master on tests * go back to accelerate>=0.11 * undo prettier formatting on yml files * undo prettier formatting on yml files againn
107 lines
2.9 KiB
YAML
107 lines
2.9 KiB
YAML
name: Run all tests
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on:
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push:
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branches:
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- main
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env:
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HF_HOME: /mnt/cache
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OMP_NUM_THREADS: 8
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MKL_NUM_THREADS: 8
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PYTEST_TIMEOUT: 1000
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RUN_SLOW: yes
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jobs:
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run_tests_single_gpu:
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name: Diffusers tests
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runs-on: [ self-hosted, docker-gpu, single-gpu ]
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container:
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image: nvcr.io/nvidia/pytorch:22.07-py3
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options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache
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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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python -m pip install --upgrade pip
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python -m pip uninstall -y torch torchvision torchtext
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python -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu116
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python -m pip install -e .[quality,test]
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python -m pip install git+https://github.com/huggingface/accelerate
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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: Run all (incl. slow) tests on GPU
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env:
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HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v --make-reports=tests_torch_gpu tests/
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- name: Failure short reports
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if: ${{ failure() }}
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run: cat reports/tests_torch_gpu_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: torch_test_reports
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path: reports
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run_examples_single_gpu:
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name: Examples tests
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runs-on: [ self-hosted, docker-gpu, single-gpu ]
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container:
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image: nvcr.io/nvidia/pytorch:22.07-py3
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options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache
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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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python -m pip install --upgrade pip
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python -m pip uninstall -y torch torchvision torchtext
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python -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu116
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python -m pip install -e .[quality,test,training]
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python -m pip install git+https://github.com/huggingface/accelerate
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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: Run example tests on GPU
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env:
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HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
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run: |
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python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v --make-reports=examples_torch_gpu examples/
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- name: Failure short reports
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if: ${{ failure() }}
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run: cat reports/examples_torch_gpu_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: examples_test_reports
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path: reports
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