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name: Slow tests on main

on:

push:

branches:

- main

env:

DIFFUSERS_IS_CI: yes

HF_HOME: /mnt/cache

OMP_NUM_THREADS: 8

MKL_NUM_THREADS: 8

PYTEST_TIMEOUT: 600

RUN_SLOW: yes

jobs:

run_slow_tests:

strategy:

fail-fast: false

matrix:

config:

- name: Slow PyTorch CUDA tests on Ubuntu

framework: pytorch

runner: docker-gpu

image: diffusers/diffusers-pytorch-cuda

report: torch_cuda

- name: Slow Flax TPU tests on Ubuntu

framework: flax

runner: docker-tpu

image: diffusers/diffusers-flax-tpu

report: flax_tpu

- name: Slow ONNXRuntime CUDA tests on Ubuntu

framework: onnxruntime

runner: docker-gpu

image: diffusers/diffusers-onnxruntime-cuda

report: onnx_cuda

name: ${{ matrix.config.name }}

runs-on: ${{ matrix.config.runner }}

container:

image: ${{ matrix.config.image }}

options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ ${{ matrix.config.runner == 'docker-tpu' && '--privileged' || '--gpus 0'}}

defaults:

run:

shell: bash

steps:

- name: Checkout diffusers

uses: actions/checkout@v3

with:

fetch-depth: 2

- name: NVIDIA-SMI

if : ${{ matrix.config.runner == 'docker-gpu' }}

run: |

nvidia-smi

- name: Install dependencies

run: |

python -m pip install -e .[quality,test]

python -m pip install -U git+https://github.com/huggingface/transformers

python -m pip install git+https://github.com/huggingface/accelerate

- name: Environment

run: |

python utils/print_env.py

- name: Run slow PyTorch CUDA tests

if: ${{ matrix.config.framework == 'pytorch' }}

env:

HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}

run: |

python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \

-s -v -k "not Flax and not Onnx" \

--make-reports=tests_${{ matrix.config.report }} \

tests/

- name: Run slow Flax TPU tests

if: ${{ matrix.config.framework == 'flax' }}

env:

HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}

run: |

python -m pytest -n 0 \

-s -v -k "Flax" \

--make-reports=tests_${{ matrix.config.report }} \

tests/

- name: Run slow ONNXRuntime CUDA tests

if: ${{ matrix.config.framework == 'onnxruntime' }}

env:

HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}

run: |

python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \

-s -v -k "Onnx" \

--make-reports=tests_${{ matrix.config.report }} \

tests/

- name: Failure short reports

if: ${{ failure() }}

run: cat reports/tests_${{ matrix.config.report }}_failures_short.txt

- name: Test suite reports artifacts

if: ${{ always() }}

uses: actions/upload-artifact@v2

with:

name: ${{ matrix.config.report }}_test_reports

path: reports

run_examples_tests:

name: Examples PyTorch CUDA tests on Ubuntu

runs-on: docker-gpu

container:

image: diffusers/diffusers-pytorch-cuda

options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/

steps:

- name: Checkout diffusers

uses: actions/checkout@v3

with:

fetch-depth: 2

- name: NVIDIA-SMI

run: |

nvidia-smi

- name: Install dependencies

run: |

python -m pip install -e .[quality,test,training]

python -m pip install git+https://github.com/huggingface/accelerate

python -m pip install -U git+https://github.com/huggingface/transformers

- name: Environment

run: |

python utils/print_env.py

- name: Run example tests on GPU

env:

HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}

run: |

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_failures_short.txt

- name: Test suite reports artifacts

if: ${{ always() }}

uses: actions/upload-artifact@v2

with:

name: examples_test_reports

path: reports