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name: Fast GPU Tests on main
on:
workflow_dispatch:
push:
branches:
- main
paths:
- "src/diffusers/**.py"
- "examples/**.py"
- "tests/**.py"
permissions:
contents: read
env:
DIFFUSERS_IS_CI: yes
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
HF_XET_HIGH_PERFORMANCE: 1
PYTEST_TIMEOUT: 600
PIPELINE_USAGE_CUTOFF: 50000
# Force version overrides across every `uv pip install` in this workflow via UV_OVERRIDE:
# - tokenizers<0.23.0, even when transformers@main declares a higher lower-bound.
# - torch/torchvision/torchaudio pinned to the image's baked-in set so `-U` installs
# (e.g. accelerate@main) can't bump torch and break torchvision's C++ ABI
# (torchvision::nms). The pinned set is (re)written into the override file per job below.
UV_OVERRIDE: /tmp/uv-overrides.txt
jobs:
setup_torch_cuda_pipeline_matrix:
name: Setup Torch Pipelines CUDA Slow Tests Matrix
runs-on:
group: aws-general-8-plus
container:
image: diffusers/diffusers-pytorch-cpu
outputs:
pipeline_test_matrix: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: Install dependencies
run: |
printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
uv pip install -e ".[quality]"
- name: Environment
run: |
diffusers-cli env
- name: Fetch Pipeline Matrix
id: fetch_pipeline_matrix
run: |
matrix=$(python utils/fetch_torch_cuda_pipeline_test_matrix.py)
echo $matrix
echo "pipeline_test_matrix=$matrix" >> $GITHUB_OUTPUT
- name: Pipeline Tests Artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v6
with:
name: test-pipelines.json
path: reports
torch_pipelines_cuda_tests:
name: Torch Pipelines CUDA Tests
needs: setup_torch_cuda_pipeline_matrix
strategy:
fail-fast: false
max-parallel: 8
matrix:
module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
runs-on:
group: aws-g4dn-2xlarge
container:
image: diffusers/diffusers-pytorch-cuda
options: --shm-size "16gb" --ipc host --gpus all
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Install dependencies
run: |
printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
uv pip install -e ".[quality]"
uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
- name: Environment
run: |
diffusers-cli env
- name: PyTorch CUDA checkpoint tests on Ubuntu
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
CUBLAS_WORKSPACE_CONFIG: :16:8
run: |
pytest -n 1 --max-worker-restart=0 --dist=loadfile \
-k "not Onnx" \
--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
tests/pipelines/${{ matrix.module }}
- name: Failure short reports
if: ${{ failure() }}
run: |
cat reports/tests_pipeline_${{ matrix.module }}_cuda_stats.txt
cat reports/tests_pipeline_${{ matrix.module }}_cuda_failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v6
with:
name: pipeline_${{ matrix.module }}_test_reports
path: reports
torch_cuda_tests:
name: Torch CUDA Tests
runs-on:
group: aws-g4dn-2xlarge
container:
image: diffusers/diffusers-pytorch-cuda
options: --shm-size "16gb" --ipc host --gpus all
defaults:
run:
shell: bash
strategy:
fail-fast: false
max-parallel: 2
matrix:
module: [models, schedulers, hooks, lora, others, single_file]
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: Install dependencies
run: |
printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
uv pip install -e ".[quality]"
uv pip install peft@git+https://github.com/huggingface/peft.git
uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
- name: Environment
run: |
diffusers-cli env
- name: Run PyTorch CUDA tests
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
CUBLAS_WORKSPACE_CONFIG: :16:8
run: |
pytest -n 1 --max-worker-restart=0 --dist=loadfile \
-k "not Onnx" \
--make-reports=tests_torch_cuda_${{ matrix.module }} \
tests/${{ matrix.module }}
- name: Failure short reports
if: ${{ failure() }}
run: |
cat reports/tests_torch_cuda_${{ matrix.module }}_stats.txt
cat reports/tests_torch_cuda_${{ matrix.module }}_failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v6
with:
name: torch_cuda_test_reports_${{ matrix.module }}
path: reports
run_torch_compile_tests:
name: PyTorch Compile CUDA tests
runs-on:
group: aws-g4dn-2xlarge
container:
image: diffusers/diffusers-pytorch-cuda
options: --gpus all --shm-size "16gb" --ipc host
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Install dependencies
run: |
printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
uv pip install -e ".[quality,training]"
uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
- name: Environment
run: |
diffusers-cli env
- name: Run example tests on GPU
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
RUN_COMPILE: yes
run: |
pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "compile" --make-reports=tests_torch_compile_cuda tests/
- name: Failure short reports
if: ${{ failure() }}
run: cat reports/tests_torch_compile_cuda_failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v6
with:
name: torch_compile_test_reports
path: reports
run_xformers_tests:
name: PyTorch xformers CUDA tests
runs-on:
group: aws-g4dn-2xlarge
container:
image: diffusers/diffusers-pytorch-xformers-cuda
options: --gpus all --shm-size "16gb" --ipc host
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Install dependencies
run: |
printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
uv pip install -e ".[quality,training]"
- name: Environment
run: |
diffusers-cli env
- name: Run example tests on GPU
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
run: |
pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "xformers" --make-reports=tests_torch_xformers_cuda tests/
- name: Failure short reports
if: ${{ failure() }}
run: cat reports/tests_torch_xformers_cuda_failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v6
with:
name: torch_xformers_test_reports
path: reports
run_examples_tests:
name: Examples PyTorch CUDA tests on Ubuntu
runs-on:
group: aws-g4dn-2xlarge
container:
image: diffusers/diffusers-pytorch-cuda
options: --gpus all --shm-size "16gb" --ipc host
steps:
- name: Checkout diffusers
uses: actions/checkout@v6
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Install dependencies
run: |
printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE"
uv pip install -e ".[quality,training]"
- name: Environment
run: |
diffusers-cli env
- name: Run example tests on GPU
env:
HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
run: |
uv pip install ".[training]"
pytest -n 1 --max-worker-restart=0 --dist=loadfile --make-reports=examples_torch_cuda examples/
- name: Failure short reports
if: ${{ failure() }}
run: |
cat reports/examples_torch_cuda_stats.txt
cat reports/examples_torch_cuda_failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v6
with:
name: examples_test_reports
path: reports