Fix bloom lint

shark/examples/shark_inference/sharded_bloom.py

@@ -731,7 +731,6 @@ if __name__ == "__main__":
             "Warning: If you need to use memory efficient mode, you probably want to use 'download' instead"
         )
 
-
     if not os.path.isdir(args.model_path):
         os.mkdir(args.model_path)
 
@@ -760,7 +759,6 @@ if __name__ == "__main__":
         config = json.load(f)
         f.close()
 
-
         self_path = os.path.dirname(os.path.abspath(__file__))
         script_path = os.path.join(self_path, "sharded_bloom_large_models.py")
 
@@ -841,4 +839,4 @@ if __name__ == "__main__":
                         [input_ids, next_token.unsqueeze(-1)], dim=-1
                     )
 
-                print(tokenizer.decode(input_ids.squeeze()))
+                print(tokenizer.decode(input_ids.squeeze()))

shark/examples/shark_inference/sharded_bloom_large_models.py

@@ -378,4 +378,4 @@ if __name__ == "__main__":
 
         f = open(f"{working_dir}/prompt.txt", "w+")
         f.write(prompt + next_token)
-        f.close()
+        f.close()