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