Vad模型在进程下数据卡住不动

[I-am-your-grandfather]

我用进程方式启动AutoModel处理，16K单声道的wav音频数据，vad模型内部处理数据直接卡住不动，请大佬帮我看看进程启动下vad模型内部处理数据为什么会卡住。
funasr->utils->load_utils.py的64行 data_or_path_or_list = data_or_path_or_list.mean(0)

ps：用线程模式就能正常执行，但咱们线程模式长时间运行，有严重的内存泄漏，而且vad不支持多线程。
Code
.....
pool = multiprocessing.Pool(2)
pool.apply(func=convert, args=(wavepath))

.....
def convert(wavepath):
model = AutoModel(model="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
model_revision="v2.0.4",
vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
vad_model_revision="v2.0.4",
punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
punc_model_revision="v2.0.4",
spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
spk_model_revision="v2.0.2",
ncpu=1,
device="cpu",
disable_pbar=True,
disable_log=False
)

model.generate(input=wavepath)
)
What have you tried?
In a pytorch docker container, run pip install funasr and then the script above.

What's your environment?
OS (e.g., Linux):
FunASR Version (e.g., 1.0.0): 1.0.19
ModelScope Version (e.g., 1.11.0): None (do not need it)
PyTorch Version (e.g., 2.0.0): 2.2.2
How you installed funasr (pip, source): pip
Python version: 3.10.14
GPU (e.g., V100M32): NVIDIA GeForce RTX 4090