Files
lerobot/src/lerobot/policies/groot/utils.py
T
Steven Palma be46bdea8f feat(policies): add Nvidia Gr00t N1.5 model (#2292)
* feat(policies): add Nvidia Gr00t N1.5 model

Co-authored-by: lbenhorin <lbenhorin@nvidia.com>
Co-authored-by: Aravindh <aravindhs@nvidia.com>
Co-authored-by: nv-sachdevkartik <ksachdev@nvidia.com>
Co-authored-by: youliangt <youliangt@nvidia.com>
Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co>
Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>
Co-authored-by: Jade Choghari <chogharijade@gmail.com>

* fix(docs): add groot to index

Co-authored-by: sachdevkartik <sachdev.kartik25@gmail.com>

---------

Co-authored-by: lbenhorin <lbenhorin@nvidia.com>
Co-authored-by: Aravindh <aravindhs@nvidia.com>
Co-authored-by: nv-sachdevkartik <ksachdev@nvidia.com>
Co-authored-by: youliangt <youliangt@nvidia.com>
Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co>
Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>
Co-authored-by: Jade Choghari <chogharijade@gmail.com>
Co-authored-by: sachdevkartik <sachdev.kartik25@gmail.com>
2025-10-23 13:50:30 +02:00

48 lines
1.6 KiB
Python

from pathlib import Path
from shutil import copytree
from huggingface_hub import hf_hub_download
def ensure_eagle_cache_ready(vendor_dir: Path, cache_dir: Path, assets_repo: str) -> None:
"""Populate the Eagle processor directory in cache and ensure tokenizer assets exist.
- Copies the vendored Eagle files into cache_dir (overwriting when needed).
- Downloads vocab.json and merges.txt into the same cache_dir if missing.
"""
cache_dir = Path(cache_dir)
vendor_dir = Path(vendor_dir)
try:
# Populate/refresh cache with vendor files to ensure a complete processor directory
print(f"[GROOT] Copying vendor Eagle files to cache: {vendor_dir} -> {cache_dir}")
copytree(vendor_dir, cache_dir, dirs_exist_ok=True)
except Exception as exc: # nosec: B110
print(f"[GROOT] Warning: Failed to copy vendor Eagle files to cache: {exc}")
required_assets = [
"vocab.json",
"merges.txt",
"added_tokens.json",
"chat_template.json",
"special_tokens_map.json",
"config.json",
"generation_config.json",
"preprocessor_config.json",
"processor_config.json",
"tokenizer_config.json",
]
print(f"[GROOT] Assets repo: {assets_repo} \n Cache dir: {cache_dir}")
for fname in required_assets:
dst = cache_dir / fname
if not dst.exists():
print(f"[GROOT] Fetching {fname}")
hf_hub_download(
repo_id=assets_repo,
filename=fname,
repo_type="model",
local_dir=str(cache_dir),
)