File size: 1,495 Bytes
17e7b0b c3bdc39 17e7b0b c3bdc39 ba0c6ac c3bdc39 3d725b3 c3bdc39 3d725b3 e00ebc7 2c5019a 3d725b3 c3bdc39 3d725b3 c3bdc39 3d725b3 17e7b0b c3bdc39 17e7b0b | 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 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | #!/bin/bash
# Shared GPU entry for Hugging Face Jobs fallbacks. The workload is scripts/hf_job.py.
set -euxo pipefail
export PYTHONUNBUFFERED=1
export TOKENIZERS_PARALLELISM=false
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
# huggingface_hub errors if this is 1 and hf_transfer is not installed yet.
unset HF_HUB_ENABLE_HF_TRANSFER || true
python3 -c "import torch; print({'torch': torch.__version__, 'cuda': torch.cuda.is_available(), 'device': torch.cuda.get_device_name(0) if torch.cuda.is_available() else None})"
python3 -m pip install -q --upgrade pip
# transformers>=5 needs torch>=2.5; the RunPod 2.4 image must be upgraded in place.
python3 -m pip install -q --index-url https://download.pytorch.org/whl/cu124 \
torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0
python3 -m pip install -q \
'transformers>=5.0.0' \
peft \
accelerate \
pillow \
huggingface_hub \
boto3 \
numpy \
safetensors \
hf_transfer
export HF_HUB_ENABLE_HF_TRANSFER=1
python3 -c "import torch; assert torch.cuda.is_available(), torch.__version__"
python3 - <<'PY'
import os
import runpy
import sys
from huggingface_hub import snapshot_download
src = snapshot_download(
repo_id=os.environ.get("LIFEMEM_SRC_REPO", "mtorres98/lifemem-replication-src"),
repo_type="dataset",
token=os.environ.get("HF_TOKEN"),
)
os.environ["LIFEMEM_SRC_MOUNT"] = src
if src not in sys.path:
sys.path.insert(0, src)
runpy.run_path(f"{src}/scripts/hf_job.py", run_name="__main__")
PY
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