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Fix PyTorch device error when loading custom model #18

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May 21, 2020
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6 changes: 4 additions & 2 deletions fitbert/fitb.py
Original file line number Diff line number Diff line change
Expand Up @@ -27,18 +27,20 @@ def __init__(
self.device = torch.device(
"cuda" if torch.cuda.is_available() and not disable_gpu else "cpu"
)
print("using model:", model_name)
print("device:", self.device)

if not model:
print("using model:", model_name)
if "distilbert" in model_name:
self.bert = DistilBertForMaskedLM.from_pretrained(model_name)
else:
self.bert = BertForMaskedLM.from_pretrained(model_name)
self.bert.to(self.device)
else:
print("using custom model:", model.config.architectures)
self.bert = model

self.bert.to(self.device)

if not tokenizer:
if "distilbert" in model_name:
self.tokenizer = DistilBertTokenizer.from_pretrained(model_name)
Expand Down