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Add optional resume_download argument to help download large models #130

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Add optional resume_download argument to help download large models #130

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ffbcfe3
Add resume_download to help downloading large models
Rexhaif Aug 15, 2022
593674e
make it resume_download optional function argument
Rexhaif Aug 15, 2022
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4 changes: 2 additions & 2 deletions rudalle/dalle/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -151,7 +151,7 @@


def get_rudalle_model(name, pretrained=True, fp16=False, device='cpu', use_auth_token=None,
cache_dir='/tmp/rudalle', **model_kwargs):
cache_dir='/tmp/rudalle', resume_download=False, **model_kwargs):
assert name in MODELS

if fp16 and device == 'cpu':
Expand Down Expand Up @@ -188,7 +188,7 @@ def init_layer_func(x, prefix=None):
cache_dir = os.path.join(cache_dir, name)
config_file_url = hf_hub_url(repo_id=config['repo_id'], filename=config['filename'])
cached_download(config_file_url, cache_dir=cache_dir, force_filename=config['filename'],
use_auth_token=use_auth_token)
use_auth_token=use_auth_token, resume_download=resume_download)
checkpoint = torch.load(os.path.join(cache_dir, config['filename']), map_location=device)

pbar = tqdm(total=len(checkpoint.keys()))
Expand Down