Remove handling non-visual loop in llava

lmms_eval/models/llava.py

@@ -358,17 +358,6 @@ def _collate(x):
                 prompt_question = conv.get_prompt()
                 question_input.append(prompt_question)
 
-            # The above for loop has bugs. When there is no visuals, e.g. pure text,
-            # there will be no for loop execute resulting in an empty question_input (because no visuals)
-            # Scenario 1 won't even be execute
-            if len(flattened_visuals) == 0:
-                for context in contexts:
-                    question = context
-                    conv = conv_templates[self.conv_template].copy()
-                    conv.append_message(conv.roles[0], question)
-                    conv.append_message(conv.roles[1], None)
-                    prompt_question = conv.get_prompt()
-                    question_input.append(prompt_question)
 
             # input_ids = tokenizer_image_token(prompt, self.tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).to(self.device)
             # preconfigure gen_kwargs with defaults