Remove extra forward pass

model.py

@@ -111,7 +111,6 @@ def encode_images(images: list):
         return_tensors="pt",
     ).to(device)
     doc_inputs = model.prepare_inputs_for_generation(**doc_inputs, use_cache=False)
-    output = model(**doc_inputs, return_dict=True, output_hidden_states=True)
     with torch.no_grad():
         output = model(**doc_inputs, return_dict=True, output_hidden_states=True)
     doc_embeddings = get_embedding(