refactor: remove unneeded torch.no_grad()
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2 changed files with 4 additions and 2 deletions
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@ -13,8 +13,6 @@ from transformers.utils import logging
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logging.set_verbosity_info()
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logging.set_verbosity_info()
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logger = logging.get_logger(__name__)
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logger = logging.get_logger(__name__)
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torch.no_grad()
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class VoiceMapper:
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class VoiceMapper:
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"""Maps speaker names to voice file paths"""
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"""Maps speaker names to voice file paths"""
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@ -1 +1,5 @@
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# defaults to 1.5B
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python demo/inference_from_file.py --txt_path demo/text_examples/2p_music.txt --speaker_names Alice Frank
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# large -- cannot fit XPU memory (36GB)
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python demo/inference_from_file.py --model_path microsoft/VibeVoice-Large --txt_path demo/text_examples/2p_music.txt --speaker_names Alice Frank
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python demo/inference_from_file.py --model_path microsoft/VibeVoice-Large --txt_path demo/text_examples/2p_music.txt --speaker_names Alice Frank
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