Nightly and release tests on main/release branch

Nightly and release tests on main/release branch #361

Workflow file for this run

.github/workflows/nightly_tests.yml at 6dc6486

	name: Nightly and release tests on main/release branch

	on:
	workflow_dispatch:
	schedule:
	- cron: "0 0 * * *" # every day at midnight

	env:
	DIFFUSERS_IS_CI: yes
	HF_HUB_ENABLE_HF_TRANSFER: 1
	OMP_NUM_THREADS: 8
	MKL_NUM_THREADS: 8
	PYTEST_TIMEOUT: 600
	RUN_SLOW: yes
	RUN_NIGHTLY: yes
	PIPELINE_USAGE_CUTOFF: 5000
	SLACK_API_TOKEN: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}

	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: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2
	- name: Install dependencies
	run: \|
	pip install -e .[test]
	pip install huggingface_hub
	- name: Fetch Pipeline Matrix
	id: fetch_pipeline_matrix
	run: \|
	matrix=$(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@v4
	with:
	name: test-pipelines.json
	path: reports

	run_nightly_tests_for_torch_pipelines:
	name: Nightly Torch Pipelines CUDA Tests
	needs: setup_torch_cuda_pipeline_matrix
	strategy:
	fail-fast: false
	max-parallel: 8
	matrix:
	module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --shm-size "16gb" --ipc host --gpus 0
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2
	- name: NVIDIA-SMI
	run: nvidia-smi
	- name: Install dependencies
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install -e [quality,test]
	python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
	python -m uv pip install pytest-reportlog
	- name: Environment
	run: \|
	python utils/print_env.py
	- name: Pipeline CUDA Test
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
	CUBLAS_WORKSPACE_CONFIG: :16:8
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v -k "not Flax and not Onnx" \
	--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
	--report-log=tests_pipeline_${{ matrix.module }}_cuda.log \
	tests/pipelines/${{ 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: ${{ always() }}
	uses: actions/upload-artifact@v4
	with:
	name: pipeline_${{ matrix.module }}_test_reports
	path: reports
	- name: Generate Report and Notify Channel
	if: always()
	run: \|
	pip install slack_sdk tabulate
	python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

	run_nightly_tests_for_other_torch_modules:
	name: Nightly Torch CUDA Tests
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --shm-size "16gb" --ipc host --gpus 0
	defaults:
	run:
	shell: bash
	strategy:
	fail-fast: false
	max-parallel: 2
	matrix:
	module: [models, schedulers, lora, others, single_file, examples]
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2

	- name: Install dependencies
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install -e [quality,test]
	python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
	python -m uv pip install peft@git+https://github.com/huggingface/peft.git
	python -m uv pip install pytest-reportlog
	- name: Environment
	run: python utils/print_env.py

	- name: Run nightly PyTorch CUDA tests for non-pipeline modules
	if: ${{ matrix.module != 'examples'}}
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
	CUBLAS_WORKSPACE_CONFIG: :16:8
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v -k "not Flax and not Onnx" \
	--make-reports=tests_torch_${{ matrix.module }}_cuda \
	--report-log=tests_torch_${{ matrix.module }}_cuda.log \
	tests/${{ matrix.module }}

	- name: Run nightly example tests with Torch
	if: ${{ matrix.module == 'examples' }}
	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: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v --make-reports=examples_torch_cuda \
	--report-log=examples_torch_cuda.log \
	examples/

	- name: Failure short reports
	if: ${{ failure() }}
	run: \|
	cat reports/tests_torch_${{ matrix.module }}_cuda_stats.txt
	cat reports/tests_torch_${{ matrix.module }}_cuda_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v4
	with:
	name: torch_${{ matrix.module }}_cuda_test_reports
	path: reports

	- name: Generate Report and Notify Channel
	if: always()
	run: \|
	pip install slack_sdk tabulate
	python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

	run_flax_tpu_tests:
	name: Nightly Flax TPU Tests
	runs-on: docker-tpu
	if: github.event_name == 'schedule'

	container:
	image: diffusers/diffusers-flax-tpu
	options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ --privileged
	defaults:
	run:
	shell: bash
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2

	- name: Install dependencies
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install -e [quality,test]
	python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
	python -m uv pip install pytest-reportlog

	- name: Environment
	run: python utils/print_env.py

	- name: Run nightly Flax TPU tests
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	run: \|
	python -m pytest -n 0 \
	-s -v -k "Flax" \
	--make-reports=tests_flax_tpu \
	--report-log=tests_flax_tpu.log \
	tests/

	- name: Failure short reports
	if: ${{ failure() }}
	run: \|
	cat reports/tests_flax_tpu_stats.txt
	cat reports/tests_flax_tpu_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v4
	with:
	name: flax_tpu_test_reports
	path: reports

	- name: Generate Report and Notify Channel
	if: always()
	run: \|
	pip install slack_sdk tabulate
	python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

	run_nightly_onnx_tests:
	name: Nightly ONNXRuntime CUDA tests on Ubuntu
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-onnxruntime-cuda
	options: --gpus 0 --shm-size "16gb" --ipc host

	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2

	- name: NVIDIA-SMI
	run: nvidia-smi

	- name: Install dependencies
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install -e [quality,test]
	python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
	python -m uv pip install pytest-reportlog
	- name: Environment
	run: python utils/print_env.py

	- name: Run Nightly ONNXRuntime CUDA tests
	env:
	HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v -k "Onnx" \
	--make-reports=tests_onnx_cuda \
	--report-log=tests_onnx_cuda.log \
	tests/

	- name: Failure short reports
	if: ${{ failure() }}
	run: \|
	cat reports/tests_onnx_cuda_stats.txt
	cat reports/tests_onnx_cuda_failures_short.txt

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v4
	with:
	name: ${{ matrix.config.report }}_test_reports
	path: reports

	- name: Generate Report and Notify Channel
	if: always()
	run: \|
	pip install slack_sdk tabulate
	python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

	# M1 runner currently not well supported
	# TODO: (Dhruv) add these back when we setup better testing for Apple Silicon
	# run_nightly_tests_apple_m1:
	# name: Nightly PyTorch MPS tests on MacOS
	# runs-on: [ self-hosted, apple-m1 ]
	# if: github.event_name == 'schedule'
	#
	# steps:
	# - name: Checkout diffusers
	# uses: actions/checkout@v3
	# with:
	# fetch-depth: 2
	#
	# - name: Clean checkout
	# shell: arch -arch arm64 bash {0}
	# run: \|
	# git clean -fxd
	# - name: Setup miniconda
	# uses: ./.github/actions/setup-miniconda
	# with:
	# python-version: 3.9
	#
	# - name: Install dependencies
	# shell: arch -arch arm64 bash {0}
	# run: \|
	# ${CONDA_RUN} python -m pip install --upgrade pip uv
	# ${CONDA_RUN} python -m uv pip install -e [quality,test]
	# ${CONDA_RUN} python -m uv pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
	# ${CONDA_RUN} python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate
	# ${CONDA_RUN} python -m uv pip install pytest-reportlog
	# - name: Environment
	# shell: arch -arch arm64 bash {0}
	# run: \|
	# ${CONDA_RUN} python utils/print_env.py
	# - name: Run nightly PyTorch tests on M1 (MPS)
	# shell: arch -arch arm64 bash {0}
	# env:
	# HF_HOME: /System/Volumes/Data/mnt/cache
	# HF_TOKEN: ${{ secrets.HF_TOKEN }}
	# run: \|
	# ${CONDA_RUN} python -m pytest -n 1 -s -v --make-reports=tests_torch_mps \
	# --report-log=tests_torch_mps.log \
	# tests/
	# - name: Failure short reports
	# if: ${{ failure() }}
	# run: cat reports/tests_torch_mps_failures_short.txt
	#
	# - name: Test suite reports artifacts
	# if: ${{ always() }}
	# uses: actions/upload-artifact@v4
	# with:
	# name: torch_mps_test_reports
	# path: reports
	#
	# - name: Generate Report and Notify Channel
	# if: always()
	# run: \|
	# pip install slack_sdk tabulate
	# python utils/log_reports.py >> $GITHUB_STEP_SUMMARY run_nightly_tests_apple_m1:
	# name: Nightly PyTorch MPS tests on MacOS
	# runs-on: [ self-hosted, apple-m1 ]
	# if: github.event_name == 'schedule'
	#
	# steps:
	# - name: Checkout diffusers
	# uses: actions/checkout@v3
	# with:
	# fetch-depth: 2
	#
	# - name: Clean checkout
	# shell: arch -arch arm64 bash {0}
	# run: \|
	# git clean -fxd
	# - name: Setup miniconda
	# uses: ./.github/actions/setup-miniconda
	# with:
	# python-version: 3.9
	#
	# - name: Install dependencies
	# shell: arch -arch arm64 bash {0}
	# run: \|
	# ${CONDA_RUN} python -m pip install --upgrade pip uv
	# ${CONDA_RUN} python -m uv pip install -e [quality,test]
	# ${CONDA_RUN} python -m uv pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
	# ${CONDA_RUN} python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate
	# ${CONDA_RUN} python -m uv pip install pytest-reportlog
	# - name: Environment
	# shell: arch -arch arm64 bash {0}
	# run: \|
	# ${CONDA_RUN} python utils/print_env.py
	# - name: Run nightly PyTorch tests on M1 (MPS)
	# shell: arch -arch arm64 bash {0}
	# env:
	# HF_HOME: /System/Volumes/Data/mnt/cache
	# HF_TOKEN: ${{ secrets.HF_TOKEN }}
	# run: \|
	# ${CONDA_RUN} python -m pytest -n 1 -s -v --make-reports=tests_torch_mps \
	# --report-log=tests_torch_mps.log \
	# tests/
	# - name: Failure short reports
	# if: ${{ failure() }}
	# run: cat reports/tests_torch_mps_failures_short.txt
	#
	# - name: Test suite reports artifacts
	# if: ${{ always() }}
	# uses: actions/upload-artifact@v4
	# with:
	# name: torch_mps_test_reports
	# path: reports
	#
	# - name: Generate Report and Notify Channel
	# if: always()
	# run: \|
	# pip install slack_sdk tabulate
	# python utils/log_reports.py >> $GITHUB_STEP_SUMMARY

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Nightly and release tests on main/release branch #361

Workflow file

Nightly and release tests on main/release branch #361

Jobs

Run details

Workflow file for this run