File size: 2,128 Bytes
d0e86f6 | 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 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""General utility functions for the actionmesh package."""
import gc
import os
import torch
from huggingface_hub import snapshot_download
from hydra import compose, initialize_config_dir
from omegaconf import OmegaConf
def force_memory_cleanup():
"""Force aggressive memory cleanup: GC + CUDA sync + cache clear."""
gc.collect()
if torch.cuda.is_available():
torch.cuda.synchronize()
torch.cuda.empty_cache()
gc.collect()
def download_if_missing(
repo_id: str,
local_dir: str,
) -> str:
"""Download from HuggingFace Hub only if local directory doesn't exist.
Args:
repo_id: The repository ID on HuggingFace Hub.
local_dir: Local directory to download to.
Returns:
Path to the local directory.
"""
if not os.path.exists(local_dir) or not os.listdir(local_dir):
snapshot_download(repo_id=repo_id, local_dir=local_dir)
return local_dir
def load_config(config_name: str, config_dir: str, updates: dict = {}):
"""Load a Hydra configuration from a directory.
Args:
config_name: Name of the config file (without .yaml extension).
config_dir: Directory containing the config files.
updates: Dictionary of key-value pairs to update in the config.
Returns:
The loaded and resolved OmegaConf configuration.
"""
with initialize_config_dir(
config_dir=config_dir,
version_base="1.1",
job_name="load_config",
):
cfg = compose(
config_name=config_name,
return_hydra_config=False,
overrides=[
"hydra.output_subdir=null",
"hydra.job.chdir=false",
"hydra/job_logging=none",
"hydra/hydra_logging=none",
],
)
for k, v in updates.items():
OmegaConf.update(cfg, k, v)
OmegaConf.resolve(cfg)
return cfg
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