forked from huggingface/transformers
-
Notifications
You must be signed in to change notification settings - Fork 6
30 lines (25 loc) · 2.19 KB
/
fork-maintenance.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
name: Run Scheduled Events Docker
permissions:
actions: write
contents: write
issues: write
pull-requests: write
on:
workflow_dispatch:
schedule:
- cron: '0 0 10 * *'
jobs:
run-scheduled-events:
uses: Cemberk/fork-maintenance-system/.github/workflows/fork-maintenance-action.yml@artifacts
with:
platform: 'gfx90a'
upstream_repo: 'https://github.com/huggingface/transformers'
pr_branch_prefix: 'scheduled-merge'
requirements_command: 'sudo sed -i \"s/torchaudio//g\" examples/pytorch/_tests_requirements.txt && pip install -r examples/pytorch/_tests_requirements.txt && git restore examples/pytorch/_tests_requirements.txt && pip install --no-cache-dir GPUtil azureml azureml-core tokenizers ninja cerberus sympy sacremoses sacrebleu==1.5.1 sentencepiece scipy scikit-learn urllib3 && pip install huggingface_hub datasets && pip install parameterized && pip install -e .'
unit_test_command: cd tests; folders=\$(python3 -c \import os; tests = os.getcwd(); models = \"models\"; model_tests = os.listdir(os.path.join(tests, models)); d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); d2 = sorted(list(filter(os.path.isdir, [os.path.join(models, x) for x in model_tests]))); d1.remove(models); d = d2 + d1; print(\" \".join(d[:5]))' ); cd ..; for folder in \${folders[@]}; do pytest tests/\${folder} -v --make-reports=huggingface_unit_tests_\${machine_type}_run_models_gpu_\${folder} -rfEs --continue-on-collection-errors -m \"not not_device_test\" -p no:cacheprovider; done; allstats=\$(find reports -name stats.txt); for stat in \${allstats[@]}; do echo \$stat; cat \$stat; done
performance_test_command: 'echo \"python examples/pytorch/language-modeling/run_mlm.py --model_name_or_path bert-base-uncased --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 --do_train --do_eval --output_dir /tmp/test-mlm --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --max_steps 500\"'
docker_image: 'rocm/pytorch:latest'
docker_options: '--device=/dev/kfd --device=/dev/dri --group-add video --shm-size 16G --network=host'
secrets:
GIT_TOKEN: ${{ secrets.CRED_TOKEN }}
schedule_json: ${{ secrets.SCHEDULE_CONFIG }}