Timestamp error may caused by audio file.

[Huowuge]

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🐛 Bug

Run timestamp error

To Reproduce

funasr version: 1.2.0. Downloading Model to directory: C:\Users\huowuge.cache\modelscope\hub\iic/SenseVoiceSmall 2024-12-21 22:49:58,457 - modelscope - WARNING - Using branch: master as version is unstable, use with caution Downloading Model to directory: C:\Users\huowuge.cache\modelscope\hub\iic/speech_fsmn_vad_zh-cn-16k-common-pytorch 2024-12-21 22:50:01,588 - modelscope - WARNING - Using branch: master as version is unstable, use with caution Downloading Model to directory: C:\Users\huowuge.cache\modelscope\hub\iic/punc_ct-transformer_cn-en-common-vocab471067-large 2024-12-21 22:50:02,127 - modelscope - WARNING - Using branch: master as version is unstable, use with caution Building prefix dict from the default dictionary ... DEBUG:jieba:Building prefix dict from the default dictionary ... Loading model from cache C:\Users\huowuge\AppData\Local\Temp\jieba.cache DEBUG:jieba:Loading model from cache C:\Users\huowuge\AppData\Local\Temp\jieba.cache Loading model cost 0.591 seconds. DEBUG:jieba:Loading model cost 0.591 seconds. Prefix dict has been built successfully. DEBUG:jieba:Prefix dict has been built successfully. rtf_avg: 6.220: 100%|██████████| 1/1 [00:12<00:00, 12.07s/it] 0%| | 0/1 [00:00<?, ?it/s] 0%| | 0/9 [00:00<?, ?it/s]C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [1,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [2,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [3,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [4,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [5,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [6,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [7,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [0,0,0], thread: [8,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed. Traceback (most recent call last): File "D:\projects\funasr\asr_en\asr.py", line 19, in res = model.generate( ^^^^^^^^^^^^^^^ File "D:\projects\funasr.venv\Lib\site-packages\funasr\auto\auto_model.py", line 304, in generate return self.inference_with_vad(input, input_len=input_len, **cfg) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\projects\funasr.venv\Lib\site-packages\funasr\auto\auto_model.py", line 458, in inference_with_vad results = self.inference( ^^^^^^^^^^^^^^^ File "D:\projects\funasr.venv\Lib\site-packages\funasr\auto\auto_model.py", line 343, in inference res = model.inference(**batch, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\projects\funasr.venv\Lib\site-packages\funasr\models\sense_voice\model.py", line 932, in inference pred = groupby(align[0, : encoder_out_lens[0]]) ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

0%| | 0/9 [00:02<?, ?it/s] 0%| | 0/1 [00:03<?, ?it/s]

Code sample

Expected behavior

Environment

• OS (e.g., Linux): windows11
• FunASR Version (e.g., 1.0.0):1.20
• ModelScope Version (e.g., 1.11.0): latest
• PyTorch Version (e.g., 2.0.0): 2.31
• How you installed funasr (pip, source): pip
• Python version:3.11
• GPU (e.g., V100M32): 1080Ti
• CUDA/cuDNN version (e.g., cuda11.7): 11.8+gpu
• Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1)
• Any other relevant information:

Additional context

The error may caused by the audio, since I split the input audio into short parts, the error still accurs when processing the first audio, the following audios can proceed successfully. I updated the input audio to DingDing Group in 2024/12/13, the file name is Into+the+Uncut+Grass+-+Trevor+Noah.mp3