SDXL Models Nightly #217
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name: SDXL Models Nightly | |
on: | |
schedule: | |
- cron: '30 6 * * *' | |
jobs: | |
test-sdxl-models: | |
strategy: | |
matrix: | |
version: [3.11] | |
os: [nodai-amdgpu-w7900-x86-64] | |
runs-on: ${{matrix.os}} | |
steps: | |
- name: "Setting up Python" | |
uses: actions/setup-python@75f3110429a8c05be0e1bf360334e4cced2b63fa # v2.3.3 | |
with: | |
python-version: ${{matrix.version}} | |
- name: "Checkout Code" | |
uses: actions/checkout@v4 | |
with: | |
ref: ean-sd-fp16 | |
- name: "Checkout iree-turbine" | |
uses: actions/checkout@v4 | |
with: | |
repository: iree-org/iree-turbine | |
# TODO: Let the ref be passed as a parameter to run integration tests. | |
path: iree-turbine | |
- name: Sync source deps | |
# build IREE from source with -DIREE_BUILD_TRACY=ON if getting tracy profile | |
run: | | |
python -m pip install --upgrade pip | |
# Note: We install in three steps in order to satisfy requirements | |
# from non default locations first. Installing the PyTorch CPU | |
# wheels saves multiple minutes and a lot of bandwidth on runner setup. | |
pip install --no-compile --index-url https://download.pytorch.org/whl/cpu \ | |
-r ${{ github.workspace }}/iree-turbine//pytorch-cpu-requirements.txt | |
pip install --no-compile --upgrade -r ${{ github.workspace }}/iree-turbine/requirements.txt | |
pip install --no-compile -e ${{ github.workspace }}/iree-turbine/[testing,torch-cpu-nightly] | |
pip install --no-compile --upgrade -r models/requirements.txt | |
pip install --no-compile -e models | |
- name: Show current free memory | |
run: | | |
free -mh | |
- name: Run sdxl tests | |
run: | | |
pip install --upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu | |
pytest models/turbine_models/tests/sdxl_test.py --device cpu --rt_device local-task --iree_target_triple x86_64-linux-gnu | |
pytest models/turbine_models/tests/sdxl_test.py --device vulkan --rt_device vulkan --iree_target_triple rdna3-unknown-linux | |
pytest models/turbine_models/tests/sdxl_test.py --device rocm --rt_device rocm --iree_target_triple gfx90a |