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Integration Tests (push to "main")

Integration Tests (push to "main") #76

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Integration Tests (push to "main")

Integration Tests (push to "main") #76

Workflow file for this run

.github/workflows/self_hosted_integration_tests.yml at e46317c
# CI for specifically ensuring integrations work fine (`transformers` mainly) on GPUs
# Useful tips:
# - `working-directory` should be set to the root of the repo, which is cloned on the actual CI runner.
# It follows the directory structure of `actions-runner/_work/{repo_name}/{repo_name}/{cloned_repo} on
# prem, but in Actions setting `working-directory` looks just in the `{repo_name}` level.
# - New integrations to test should have its own job, and follow a strategy method where we check both
# the pypi and github versions.
# - Workflow call lets this be called from `build_and_run_tests.yml`
# - When using a docker container, it's recommended to set `--shm-size`, we use 16gb.
name: Integration Tests (push to "main")
on:
workflow_call:
workflow_dispatch:
env:
HF_HOME: ~/hf_cache
defaults:
run:
shell: bash
jobs:
run-trainer-tests:
container:
image: huggingface/accelerate-gpu:latest
options: --gpus all --shm-size "16gb"
runs-on: [self-hosted, multi-gpu, nvidia-gpu, t4, ci]
strategy:
fail-fast: false
matrix:
cuda_visible_devices: [
"0",
"0,1"
]
steps:
- name: Install transformers
run: |
source activate accelerate;
git clone https://github.com/huggingface/transformers --branch deepspeed-exception;
cd transformers;
pip install .[torch,deepspeed-testing];
cd ..;
- name: Install accelerate
run: |
source activate accelerate;
git clone https://github.com/huggingface/accelerate;
cd accelerate;
git checkout ${{ github.sha }} ;
pip install -e .[testing];
pip uninstall comet_ml wandb dvclive -y
cd ..;
- name: Show installed libraries
run: |
source activate accelerate;
pip freeze
- name: Run trainer tests
working-directory: transformers/
env:
CUDA_VISIBLE_DEVICES: ${{ matrix.cuda_visible_devices }}
WANDB_DISABLED: true
run: |
source activate accelerate;
pytest -sv tests/trainer
- name: Run deepspeed tests
working-directory: transformers/
env:
CUDA_VISIBLE_DEVICES: ${{ matrix.cuda_visible_devices }}
WANDB_DISABLED: true
if: always()
run: |
source activate accelerate;
pytest -sv tests/deepspeed
- name: Run transformers examples tests
working-directory: transformers/
env:
CUDA_VISIBLE_DEVICES: ${{ matrix.cuda_visible_devices }}
WANDB_DISABLED: true
run: |
source activate accelerate
pip install -r examples/pytorch/_tests_requirements.txt
pytest -sv examples/pytorch/test_accelerate_examples.py examples/pytorch/test_pytorch_examples.py
# run-skorch-tests:
# container:
# image: huggingface/accelerate-gpu:latest
# options: --gpus all --shm-size "16gb"
# runs-on: [self-hosted, multi-gpu, nvidia-gpu, t4, ci]
# strategy:
# fail-fast: false
# steps:
# - name: Install accelerate
# run:
# source activate accelerate;
# git clone https://github.com/huggingface/accelerate;
# cd accelerate;
# git checkout ${{ github.sha }};
# pip install -e .[testing];
# cd ..
# - name: Install skorch
# run: |
# source activate accelerate
# git clone https://github.com/skorch-dev/skorch;
# cd skorch;
# git config --global --add safe.directory '*'
# git checkout master && git pull
# pip install .[testing]
# pip install flaky
# - name: Show installed libraries
# run: |
# source activate accelerate;
# pip freeze
# - name: Run skorch tests
# working-directory: skorch/
# run: |
# source activate accelerate;
# pytest -sv -k TestAccelerate