Tensor.item() cannot be called on meta tensors,Traceback (most recent call last):
File "videotrans\process\qwen_tts.py", line 91, in qwen3tts_fun
File "D:\pyvideotrans\_internal\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "qwen_tts\inference\qwen3_tts_model.py", line 829, in generate_custom_voice
talker_codes_list, _ = self.model.generate(File "D:\pyvideotrans\_internal\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate
talker_result = self.talker.generate(File "D:\pyvideotrans\_internal\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "D:\pyvideotrans\_internal\transformers4576\generation\utils.py", line 2566, in generate
result = decoding_method(File "D:\pyvideotrans\_internal\transformers4576\generation\utils.py", line 2789, i
......
789, in _sample
outputs = model_forward(**model_inputs, return_dict=True)File "D:\pyvideotrans\_internal\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)File "D:\pyvideotrans\_internal\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)File "D:\pyvideotrans\_internal\transformers4576\utils\generic.py", line 918, in wrapper
output = func(self, *args, **kwargs)File "qwen_tts\core\models\modeling_qwen3_tts.py", line 1671, in forward
predictor_result = self.code_predictor.generate(File "D:\pyvideotrans\_internal\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "D:\pyvideotrans\_internal\transformers4576\generation\utils.py", line 2566, in generate
result = decoding_method(File "D:\pyvideotrans\_internal\transformers4576\generation\utils.py", line 2781, in _sample
while self._has_unfinished_sequences(this_peer_finished, synced_gpus, device=input_ids.device):File "D:\pyvideotrans\_internal\transformers4576\generation\utils.py", line 2599, in _has_unfinished_sequences
elif this_peer_finished:File "D:\pyvideotrans\_internal\torch\_meta_registrations.py", line 7088, in meta_local_scalar_dense
raise RuntimeError("Tensor.item() cannot be called on meta tensors")RuntimeError: Tensor.item() cannot be called on meta tensors
cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: G:/海外社媒/天珠介绍.mp4,
输出结果保存到文件夹: G:/海外社媒/_video_out/天珠介绍-mp4,
临时文件夹: D:/pyvideotrans/tmp/10676/b61c18399e
已选 清理已存在
未启用CUDA加速
未选 降噪
语音识别:faster-whisper(内置), tiny, 发音语言: 简体中文, 断句方式:默认断句
翻译渠道:Google(免费),原始语言:简体中文,目标语言:英语, 未选 发送完整字幕
配音渠道:Qwen3-TTS(内置), 角色:Ryan, 配音语言:英语, 未选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 未选 视频慢速
字幕: 嵌入硬字幕
代理地址:http://127.0.0.1:26800
video_duration_ms=270067
=
system:Windows-10-10.0.19045-SP0
version:v4.14
frozen:True
language:zh_CN
root_dir:D:/pyvideotrans