Merge pull request #11 from microsoft/jingywa/hfbert-changes

Bert type cast fix

Author: raviskolli

src/transformers/models/bert/modeling_bert.py

@@ -1266,6 +1266,7 @@ def __init__(self, config):
 
         self.bert = BertModel(config, add_pooling_layer=False)
         self.cls = BertOnlyMLMHead(config)
+        self.ort = config.ort
 
         self.init_weights()
 
@@ -1326,7 +1327,10 @@ def forward(
         masked_lm_loss = None
         if labels is not None:
             loss_fct = CrossEntropyLoss()  # -100 index = padding token
-            masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), labels.view(-1))
+            if self.ort:
+                masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size).to(torch.float32), labels.view(-1))
+            else:
+                masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), labels.view(-1))
 
         if not return_dict:
             output = (prediction_scores,) + outputs[2:]