optimize: move vc_infer_pipeline to lib.train

app.py

@@ -7,7 +7,7 @@ import librosa
 import numpy as np
 import logging
 from fairseq import checkpoint_utils
-from vc_infer_pipeline import VC
+from lib.train.vc_infer_pipeline import VC
 import traceback
 from config import defaultconfig as config
 from lib.infer_pack.models import (

infer-web.py

@@ -35,7 +35,7 @@ from lib.infer_pack.models_onnx import SynthesizerTrnMsNSFsidM
 from infer_uvr5 import _audio_pre_, _audio_pre_new
 from lib.audio import load_audio
 from lib.train.process_ckpt import change_info, extract_small_model, merge, show_info
-from vc_infer_pipeline import VC
+from lib.train.vc_infer_pipeline import VC
 from sklearn.cluster import MiniBatchKMeans
 
 logging.getLogger("numba").setLevel(logging.WARNING)

infer_batch_rvc.py

@@ -109,7 +109,7 @@ print(sys.argv)
 config = Config(device, is_half)
 now_dir = os.getcwd()
 sys.path.append(now_dir)
-from vc_infer_pipeline import VC
+from lib.train.vc_infer_pipeline import VC
 from lib.infer_pack.models import (
     SynthesizerTrnMs256NSFsid,
     SynthesizerTrnMs256NSFsid_nono,

infer_cli.py

@@ -7,7 +7,7 @@ from lib.infer_pack.models import (
     SynthesizerTrnMs768NSFsid,
     SynthesizerTrnMs768NSFsid_nono,
 )
-from vc_infer_pipeline import VC
+from lib.train.vc_infer_pipeline import VC
 from multiprocessing import cpu_count
 import numpy as np
 import torch