Update libra/eval/run_libra.py

libra/eval/run_libra.py

@@ -77,7 +77,7 @@ def load_images(image_file):
 
     return image
 
-def get_image_tensors(image_path, image_processor, model, device='cuda'):
+def get_image_tensors(image_path, image_processor, model, device='cpu'):
     # Load and preprocess the images
     if isinstance(image_path, str):
         image = []
@@ -151,7 +151,7 @@ def libra_eval(
     conv.append_message(conv.roles[1], None)
     prompt = conv.get_prompt()
 
-    input_ids = tokenizer_image_token(prompt, tokenizer, IMAGE_TOKEN_INDEX, return_tensors='pt').unsqueeze(0).cuda()
+    input_ids = tokenizer_image_token(prompt, tokenizer, IMAGE_TOKEN_INDEX, return_tensors='pt').unsqueeze(0).to("cpu")
     attention_mask = torch.ones(input_ids.shape, dtype=torch.long)
     pad_token_id = tokenizer.pad_token_id
 
@@ -162,7 +162,7 @@ def libra_eval(
     stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids)
 
     with torch.inference_mode():
-        torch.cuda.empty_cache()
+
         if num_beams > 1:
             output_ids = model.generate(
                 input_ids=input_ids,