optimize: config

app.py

@@ -9,7 +9,7 @@ import logging
 from fairseq import checkpoint_utils
 from vc_infer_pipeline import VC
 import traceback
-from config import Config
+from config import defaultconfig as config
 from lib.infer_pack.models import (
     SynthesizerTrnMs256NSFsid,
     SynthesizerTrnMs256NSFsid_nono,
@@ -26,8 +26,6 @@ logging.getLogger("matplotlib").setLevel(logging.WARNING)
 i18n = I18nAuto()
 i18n.print()
 
-config = Config()
-
 weight_root = "weights"
 weight_uvr5_root = "uvr5_weights"
 index_root = "logs"

config.py

@@ -198,3 +198,5 @@ class Config:
                 except:
                     pass
         return x_pad, x_query, x_center, x_max
+
+defaultconfig = Config()

infer-web.py

@@ -22,7 +22,7 @@ import faiss
 import ffmpeg
 import gradio as gr
 import soundfile as sf
-from config import Config
+from config import defaultconfig as config
 import fairseq
 from i18n import I18nAuto
 from lib.infer_pack.models import (
@@ -53,7 +53,6 @@ warnings.filterwarnings("ignore")
 torch.manual_seed(114514)
 
 
-config = Config()
 if config.dml == True:
 
     def forward_dml(ctx, x, scale):

rvc_for_realtime.py

@@ -13,11 +13,10 @@ import scipy.signal as signal
 
 now_dir = os.getcwd()
 sys.path.append(now_dir)
-from config import Config
+from config import defaultconfig as config
 from multiprocessing import Manager as M
 
 mm = M()
-config = Config()
 if config.dml == True:
 
     def forward_dml(ctx, x, scale):