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提取文本Bert特征5.16it/s,如何提升处理速度
device : cuda is_half : True version : v2 t2s_weights_path : GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt vits_weights_path : GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth bert_base_path : GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large cnhuhbert_base_path : GPT_SoVITS/pretrained_models/chinese-hubert-base 并行推理模式已开启 分桶处理模式已开启
CPU :Intel(R) Xeon(R) Platinum 8336C CPU @ 2.30GHz GPU :NVIDIA A2 16GB MEM :64GB
源码运行
{ 'text': '中国大陆一共有31个省份啦!', 'text_lang': 'zh', 'ref_audio_path': '/tmp/renzhichu_peiqi.wav', 'aux_ref_audio_paths': [], 'prompt_text': '人之初,性本善。性相近,习相远。', 'prompt_lang': 'zh', 'top_k': 5, 'top_p': 1.0, 'temperature': 1.0, 'text_split_method': 'cut0', 'batch_size': 1, 'batch_threshold': 0.75, 'split_bucket': True, 'return_fragment': False, 'speed_factor': 1.0, 'streaming_mode': False, 'seed': -1, 'parallel_infer': True, 'repetition_penalty': 1.35 }
The text was updated successfully, but these errors were encountered:
同我在 #2361 回的,試試調高python.exe的優先順序
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问题描述:
提取文本Bert特征5.16it/s,如何提升处理速度
配置信息:
device : cuda
is_half : True
version : v2
t2s_weights_path : GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt
vits_weights_path : GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth
bert_base_path : GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large
cnhuhbert_base_path : GPT_SoVITS/pretrained_models/chinese-hubert-base
并行推理模式已开启
分桶处理模式已开启
环境信息:
CPU :Intel(R) Xeon(R) Platinum 8336C CPU @ 2.30GHz
GPU :NVIDIA A2 16GB
MEM :64GB
部署方式:
源码运行
API访问参数:
{
'text': '中国大陆一共有31个省份啦!',
'text_lang': 'zh',
'ref_audio_path': '/tmp/renzhichu_peiqi.wav',
'aux_ref_audio_paths': [],
'prompt_text': '人之初,性本善。性相近,习相远。',
'prompt_lang': 'zh',
'top_k': 5,
'top_p': 1.0,
'temperature': 1.0,
'text_split_method': 'cut0',
'batch_size': 1,
'batch_threshold': 0.75,
'split_bucket': True,
'return_fragment': False,
'speed_factor': 1.0,
'streaming_mode': False,
'seed': -1,
'parallel_infer': True,
'repetition_penalty': 1.35
}
The text was updated successfully, but these errors were encountered: