import os
|
from modelscope.hub.snapshot_download import snapshot_download
|
from pathlib import Path
|
|
|
def check_model_dir(model_dir, model_name: str = "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch"):
|
model_dir = "/Users/zhifu/test_modelscope_pipeline/FSMN-VAD"
|
|
cache_root = os.path.dirname(model_dir)
|
dst_dir_root = os.path.join(cache_root, ".cache")
|
dst = os.path.join(dst_dir_root, model_name)
|
dst_dir = os.path.dirname(dst)
|
os.makedirs(dst_dir, exist_ok=True)
|
if not os.path.exists(dst):
|
os.symlink(model_dir, dst)
|
|
model_dir = snapshot_download(model_name, cache_dir=dst_dir_root)
|
|
def get_default_cache_dir():
|
"""
|
default base dir: '~/.cache/modelscope'
|
"""
|
default_cache_dir = Path.home().joinpath('.cache', 'modelscope')
|
return default_cache_dir
|
|
def get_cache_dir(model_id):
|
"""cache dir precedence:
|
function parameter > environment > ~/.cache/modelscope/hub
|
|
Args:
|
model_id (str, optional): The model id.
|
|
Returns:
|
str: the model_id dir if model_id not None, otherwise cache root dir.
|
"""
|
default_cache_dir = get_default_cache_dir()
|
base_path = os.getenv('MODELSCOPE_CACHE',
|
os.path.join(default_cache_dir, 'hub'))
|
return base_path if model_id is None else os.path.join(
|
base_path, model_id + '/')
|
