Download scripts/run.sh from trl-internal-testing/ci-profile: direct link, hf CLI and curl.
- Browser
- Download file 1.39 kB
-
https://huggingface.co/datasets/trl-internal-testing/ci-profile/resolve/main/scripts/run.sh
- Command line
-
hf download hf://datasets/trl-internal-testing/ci-profile/scripts/run.sh
-
curl -L -o run.sh https://huggingface.co/datasets/trl-internal-testing/ci-profile/resolve/main/scripts/run.sh
1.39 kB
| # HF Jobs entrypoint. Expects the dataset repo mounted at /profile (read-only) and HF_TOKEN set. | |
| set -euo pipefail | |
| REPO_ID=${REPO_ID:-trl-internal-testing/ci-profile} | |
| export TQDM_DISABLE=1 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True PYTORCH_ALLOC_CONF=expandable_segments:True | |
| apt-get update && apt-get install -y git | |
| pip install uv | |
| git clone --depth 1 https://github.com/huggingface/trl.git /trl | |
| cd /trl | |
| uv venv --python 3.12 | |
| source .venv/bin/activate | |
| uv pip install ".[dev]" | |
| SHA=$(git rev-parse HEAD) | |
| DATE=$(date -u +%Y-%m-%d) | |
| NAME="${DATE}_${SHA:0:8}" | |
| export PROFILE_OUT=/tmp/$NAME.jsonl | |
| export PROFILE_META=$(python -c " | |
| import json, torch, transformers | |
| print(json.dumps({'date': '$DATE', 'sha': '$SHA', 'torch': torch.__version__, | |
| 'transformers': transformers.__version__, 'gpu': torch.cuda.get_device_name()}))") | |
| export PYTHONPATH=/profile/scripts | |
| # Serial on purpose: parallel workers share the GPU and distort per-test timings. | |
| pytest -p profile_plugin -m "not slow and not low_priority" -v -p no:cacheprovider tests || true | |
| python /profile/scripts/report.py "$PROFILE_OUT" /profile/data > /tmp/$NAME.md | |
| cat /tmp/$NAME.md | |
| hf upload "$REPO_ID" "$PROFILE_OUT" "data/$NAME.jsonl" --repo-type dataset --commit-message "Profile $NAME" | |
| hf upload "$REPO_ID" /tmp/$NAME.md "summaries/$NAME.md" --repo-type dataset --commit-message "Summary $NAME" | |