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fix from_pretrained positional args

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This commit is contained in:
Ailing Zhang
2019-04-17 13:39:46 -07:00
parent ae4c9fee73
commit bfd6f6b257
2 changed files with 115 additions and 109 deletions
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10
pytorch_pretrained_bert/modeling.py
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@@ -519,8 +519,7 @@ class BertPreTrainedModel(nn.Module):
module.bias.data.zero_()
@classmethod
def from_pretrained(cls, pretrained_model_name_or_path, state_dict=None, cache_dir=None,
from_tf=False, *inputs, **kwargs):
def from_pretrained(cls, pretrained_model_name_or_path, *inputs, **kwargs):
"""
Instantiate a BertPreTrainedModel from a pre-trained model file or a pytorch state dict.
Download and cache the pre-trained model file if needed.
@@ -547,6 +546,13 @@ class BertPreTrainedModel(nn.Module):
*inputs, **kwargs: additional input for the specific Bert class
(ex: num_labels for BertForSequenceClassification)
"""
state_dict = kwargs.get('state_dict', None)
kwargs.pop('state_dict', None)
cache_dir = kwargs.get('cache_dir', None)
kwargs.pop('cache_dir', None)
from_tf = kwargs.get('from_tf', False)
kwargs.pop('from_tf', None)
if pretrained_model_name_or_path in PRETRAINED_MODEL_ARCHIVE_MAP:
archive_file = PRETRAINED_MODEL_ARCHIVE_MAP[pretrained_model_name_or_path]
else: