hf_upload_gr00t_models.sbatch

#!/bin/bash
#SBATCH --job-name=hf_upload_gr00t_models
#SBATCH --nodes=1
#SBATCH --cpus-per-task=32
#SBATCH --time=00:30:00               # 30 minutes max
#SBATCH --output=/home/n/nhatcm/dataspace/gr00t_models/hf_upload_%j.out
#SBATCH --error=/home/n/nhatcm/dataspace/gr00t_models/hf_upload_%j.err
#SBATCH --signal=B:TERM@60
set -euo pipefail

# ── EDITABLE SETTINGS ────────────────────────────────────────────────
export REPO_ID="nhatchung/gr00t_models"
export REPO_TYPE="dataset"      # "model" | "dataset" | "space"
export SRC_DIR="/home/n/nhatcm/dataspace/gr00t_models"
export README_PATH="/home/n/nhatcm/dataspace/gr00t_models/README.md"
export PRIVATE="false"
export COMMIT_MSG="Upload gr00t_models"
export PATH_IN_REPO=""
export MAX_WORKERS="${SLURM_CPUS_PER_TASK:-8}"
# ─────────────────────────────────────────────────────────────────────

# Temporary/cache dirs
export PIP_CACHE_DIR="/home/n/nhatcm/_pip_cache"
export TMPDIR="/home/n/nhatcm/_pip_tmp"
mkdir -p "$PIP_CACHE_DIR" "$TMPDIR"

# Activate Conda
source /home/n/nhatcm/miniforge3/etc/profile.d/conda.sh
conda activate gr00t || true

# Enable parallel transfer
export HF_HUB_ENABLE_HF_TRANSFER=1
export HUGGINGFACE_HUB_MAX_WORKERS="${MAX_WORKERS}"

python - <<'PY'
import os, sys
from pathlib import Path
from huggingface_hub import HfApi, create_repo, upload_folder, upload_file

REPO_ID      = os.environ["REPO_ID"]
REPO_TYPE    = os.environ.get("REPO_TYPE","model")
SRC_DIR      = os.environ["SRC_DIR"]
README_PATH  = os.environ["README_PATH"]
PRIVATE      = os.environ.get("PRIVATE","true").lower() == "true"
COMMIT_MSG   = os.environ.get("COMMIT_MSG","Upload via SLURM")
PATH_IN_REPO = os.environ.get("PATH_IN_REPO","")
MAX_WORKERS  = int(os.environ.get("HUGGINGFACE_HUB_MAX_WORKERS","8"))
TOKEN        = os.environ.get("HF_TOKEN")

def fail(msg):
    print(f"[ERROR] {msg}", file=sys.stderr)
    sys.exit(2)

if not TOKEN:
    fail("Missing HF_TOKEN. Run: export HF_TOKEN=hf_xxx")
if not Path(SRC_DIR).exists():
    fail(f"SRC_DIR not found: {SRC_DIR}")
if not Path(README_PATH).exists():
    print(f"[WARN] README not found at {README_PATH}")

api = HfApi(token=TOKEN)
ignore_patterns = [
    "**/__pycache__/**", "**/.git/**", "**/*.tmp",
    "**/*.log", "**/.DS_Store", "**/._*", "**/*.pth",
]

print(f"[upload] Uploading from {SRC_DIR}")
api.upload_folder(
    repo_id=REPO_ID,
    repo_type=REPO_TYPE,
    folder_path=SRC_DIR,
    path_in_repo=PATH_IN_REPO
)

if Path(README_PATH).is_file():
    print("[upload] Uploading README.md")
    api.upload_file(
        repo_id=REPO_ID,
        repo_type=REPO_TYPE,
        path_or_fileobj=README_PATH,
    )

print("[done] Upload finished successfully.")
PY