change to vc pipeline to generate similarity score

vc_infer_pipeline.py

@@ -387,7 +387,7 @@ class VC(object):
         assert feats.dim() == 1, feats.dim()
         feats = feats.view(1, -1)
         padding_mask = torch.BoolTensor(feats.shape).to(self.device).fill_(False)
-
+        new_npy = None
         inputs = {
             "source": feats.to(self.device),
             "padding_mask": padding_mask,
@@ -407,6 +407,9 @@ class VC(object):
             npy = feats[0].cpu().numpy()
             if self.is_half:
                 npy = npy.astype("float32")
+            new_npy=npy
+            # Export the new_npy to a file
+            np.save("new_npy.npy", new_npy)
 
             # _, I = index.search(npy, 1)
             # npy = big_npy[I.squeeze()]