| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768 |
- import sys,os
- import torch
- # 推理用的指定模型
- sovits_path = ""
- gpt_path = ""
- is_half_str = os.environ.get("is_half", "True")
- is_half = True if is_half_str.lower() == 'true' else False
- is_share_str = os.environ.get("is_share","False")
- is_share= True if is_share_str.lower() == 'true' else False
- cnhubert_path = "GPT_SoVITS/pretrained_models/chinese-hubert-base"
- bert_path = "GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large"
- pretrained_sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth"
- pretrained_gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
- exp_root = "logs"
- python_exec = sys.executable or "python"
- if torch.cuda.is_available():
- infer_device = "cuda"
- elif torch.backends.mps.is_available():
- infer_device = "mps"
- else:
- infer_device = "cpu"
- webui_port_main = 9874
- webui_port_uvr5 = 9873
- webui_port_infer_tts = 9872
- webui_port_subfix = 9871
- api_port = 9880
- if infer_device == "cuda":
- gpu_name = torch.cuda.get_device_name(0)
- if (
- ("16" in gpu_name and "V100" not in gpu_name.upper())
- or "P40" in gpu_name.upper()
- or "P10" in gpu_name.upper()
- or "1060" in gpu_name
- or "1070" in gpu_name
- or "1080" in gpu_name
- ):
- is_half=False
- if(infer_device=="cpu"):is_half=False
- class Config:
- def __init__(self):
- self.sovits_path = sovits_path
- self.gpt_path = gpt_path
- self.is_half = is_half
- self.cnhubert_path = cnhubert_path
- self.bert_path = bert_path
- self.pretrained_sovits_path = pretrained_sovits_path
- self.pretrained_gpt_path = pretrained_gpt_path
- self.exp_root = exp_root
- self.python_exec = python_exec
- self.infer_device = infer_device
- self.webui_port_main = webui_port_main
- self.webui_port_uvr5 = webui_port_uvr5
- self.webui_port_infer_tts = webui_port_infer_tts
- self.webui_port_subfix = webui_port_subfix
- self.api_port = api_port
|
