refactor: remove unneeded torch.no_grad()

demo/inference_from_file.py

@@ -13,8 +13,6 @@ from transformers.utils import logging
 logging.set_verbosity_info()
 logger = logging.get_logger(__name__)
 
-torch.no_grad()
-
 class VoiceMapper:
     """Maps speaker names to voice file paths"""
 

example.command

@@ -1 +1,5 @@
+# defaults to 1.5B
+python demo/inference_from_file.py --txt_path demo/text_examples/2p_music.txt --speaker_names Alice Frank
+
+# large -- cannot fit XPU memory (36GB)
 python demo/inference_from_file.py --model_path microsoft/VibeVoice-Large --txt_path demo/text_examples/2p_music.txt --speaker_names Alice Frank