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Fix PyTorch device error when loading custom model #18
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sam-writer
approved these changes
May 21, 2020
|
@JasonObeid I released this change, it should be available in version |
No problem Sam, thanks for this great package! |
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Using Python 3.8, fitbert 0.7.0, transformers 2.9.1, torch 1.5.0
when loading a custom Transformers model as described in the readme using:
BertForMaskedLM.from_pretrained('path to pretrained')A runtime error occurs:
Expected object of device type cuda but got device type cpu for argument #1 'self' in call to th_index_select
The issue occurs at line 151:
tens = tens.to(self.device)but adding
self.bert.to(self.device)to line 41 fixes this issue