Merge pull request #175 from huggingface/main #232

Workflow file for this run

.github/workflows/push_tests.yml at e7ab826

	name: Fast GPU Tests on main

	on:
	push:
	branches:
	- main
	- "v..*-release"
	- "v..*-patch"
	paths:
	- "src/diffusers/**.py"
	- "examples/**.py"
	- "tests/**.py"

	env:
	DIFFUSERS_IS_CI: yes
	OMP_NUM_THREADS: 8
	MKL_NUM_THREADS: 8
	PYTEST_TIMEOUT: 600
	PIPELINE_USAGE_CUTOFF: 50000

	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: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2
	- name: Install dependencies
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install -e [quality,test]
	- name: Environment
	run: \|
	python utils/print_env.py
	- 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@v2
	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: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-pytorch-cuda
	options: --shm-size "16gb" --ipc host --gpus 0
	steps:
	- name: Checkout diffusers
	uses: actions/checkout@v3
	with:
	fetch-depth: 2
	- name: NVIDIA-SMI
	run: \|
	nvidia-smi
	- name: Install dependencies
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install -e [quality,test]
	python -m uv pip install accelerate@git+https://github.com/huggingface/accelerate.git
	- name: Environment
	run: \|
	python utils/print_env.py
	- name: Slow PyTorch CUDA checkpoint tests on Ubuntu
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
	CUBLAS_WORKSPACE_CONFIG: :16:8
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v -k "not Flax and not Onnx" \
	--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
	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: ${{ always() }}
	uses: actions/upload-artifact@v2
	with:
	name: pipeline_${{ 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 0
	defaults:
	run:
	shell: bash
	strategy:
	fail-fast: false
	max-parallel: 2
	matrix:
	module: [models, schedulers, lora, others, single_file]
	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

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

	- name: Run PyTorch CUDA tests
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
	CUBLAS_WORKSPACE_CONFIG: :16:8
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v -k "not Flax and not Onnx" \
	--make-reports=tests_torch_cuda \
	tests/${{ matrix.module }}

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

	- name: Test suite reports artifacts
	if: ${{ always() }}
	uses: actions/upload-artifact@v2
	with:
	name: torch_cuda_test_reports
	path: reports

	flax_tpu_tests:
	name: Flax TPU Tests
	runs-on: docker-tpu
	container:
	image: diffusers/diffusers-flax-tpu
	options: --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/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

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

	- name: Run slow Flax TPU tests
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	run: \|
	python -m pytest -n 0 \
	-s -v -k "Flax" \
	--make-reports=tests_flax_tpu \
	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@v2
	with:
	name: flax_tpu_test_reports
	path: reports

	onnx_cuda_tests:
	name: ONNX CUDA Tests
	runs-on:
	group: aws-g4dn-2xlarge
	container:
	image: diffusers/diffusers-onnxruntime-cuda
	options: --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/ --gpus 0
	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

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

	- name: Run slow ONNXRuntime CUDA tests
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
	-s -v -k "Onnx" \
	--make-reports=tests_onnx_cuda \
	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@v2
	with:
	name: onnx_cuda_test_reports
	path: reports

	run_torch_compile_tests:
	name: PyTorch Compile CUDA tests

	runs-on:
	group: aws-g4dn-2xlarge

	container:
	image: diffusers/diffusers-pytorch-compile-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,training]
	- name: Environment
	run: \|
	python utils/print_env.py
	- name: Run example tests on GPU
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	RUN_COMPILE: yes
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -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@v2
	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 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,training]
	- name: Environment
	run: \|
	python utils/print_env.py
	- name: Run example tests on GPU
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	run: \|
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -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@v2
	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 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,training]

	- name: Environment
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python utils/print_env.py

	- name: Run example tests on GPU
	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	run: \|
	python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
	python -m uv pip install timm
	python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v --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@v2
	with:
	name: examples_test_reports
	path: reports

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Merge pull request #175 from huggingface/main #232

Workflow file

Merge pull request #175 from huggingface/main #232

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Workflow file for this run