[-] Remove unused models_infer

models.py

@@ -1,16 +1,15 @@
-import copy
 import math
+
 import torch
 from torch import nn
+from torch.nn import Conv1d, ConvTranspose1d, Conv2d
 from torch.nn import functional as F
+from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
 
+import attentions
 import commons
 import modules
-import attentions
 import monotonic_align
-
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
 from commons import init_weights, get_padding
 
 
@@ -386,7 +385,6 @@ class MultiPeriodDiscriminator(torch.nn.Module):
         return y_d_rs, y_d_gs, fmap_rs, fmap_gs
 
 
-
 class SynthesizerTrn(nn.Module):
   """
   Synthesizer for Training