#8690 Tensor.item() cannot be called on meta tensors,Traceback (most recent call last): File

185.244**5 Posted at: 9 hours ago

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
......
le

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/19480/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:Vivian, 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: 不嵌入字幕
已选 仅输出mp4
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

1 Replies

#1 DeepSeek reply at 9 hours ago

这是显存不足或未启用CUDA加速导致Qwen3-TTS本地模型加载时使用了meta张量占位。核心原因是:日志显示"未启用CUDA加速",Qwen3-TTS在CPU模式下运行极易触发此错误,或显存不足以容纳模型。

解决方案:

  1. 检查并确保已安装CUDA 12.8和cuDNN 9,在主界面勾选"CUDA加速"。
  2. 若显卡显存小于8GB,进入菜单→工具/选项→高级选项→通用设置,选中"为qwen3-tts使用8位量化"以减少显存占用。
  3. 若仍报错,改用无需本地模型的配音渠道(如默认的Edge-TTS(免费))先验证流程是否正常。
  4. 确认软件已升级到v4.16及以上(v4.14存在已知渠道兼容问题),并完整覆盖补丁包(含_internal文件夹)。

请查阅相关文档:

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