changed: image_features

modeling_florence2.py

@@ -2565,6 +2565,7 @@ class Florence2Seq2SeqLMOutput(ModelOutput):
     encoder_last_hidden_state: Optional[torch.FloatTensor] = None
     encoder_hidden_states: Optional[Tuple[torch.FloatTensor, ...]] = None
     encoder_attentions: Optional[Tuple[torch.FloatTensor, ...]] = None
+    image_features: Optional[Tuple[torch.FloatTensor, ...]] = None
 
 
 FLORENCE2_START_DOCSTRING = r"""
@@ -3061,8 +3062,7 @@ class Florence2ForConditionalGeneration(Florence2PreTrainedModel):
             output = (logits,) + outputs[1:]
             return (loss,) + output if loss is not None else output
 
-        print(loss)
-        print(logits)
+        print(image_features)
 
         return Florence2Seq2SeqLMOutput(
             loss=loss,