add convtranspose1D

nnet/xvector.py

@@ -440,6 +440,11 @@ class Xtractor(torch.nn.Module):
                                                                 dilation=cfg["segmental"][k]["dilation"])))
                     input_size = cfg["segmental"][k]["output_channels"]
 
+                elif k.startswith("ctrans"):
+                    segmental_layers.append((k, torch.nn.ConvTranspose1d(input_size,
+                                                                         cfg["segmental"][k]["output_channels"],
+                                                                         kernel_size=cfg["segmental"][k]["kernel_size"],
+                                                                         dilation=cfg["segmental"][k]["dilation"])))
                 elif k.startswith("activation"):
                     segmental_layers.append((k, self.activation))