diff --git a/codes/models/gpt_voice/lucidrains_dvae.py b/codes/models/gpt_voice/lucidrains_dvae.py
index 1d21a3bc..67221723 100644
--- a/codes/models/gpt_voice/lucidrains_dvae.py
+++ b/codes/models/gpt_voice/lucidrains_dvae.py
@@ -151,7 +151,7 @@ class DiscreteVAE(nn.Module):
         self.loss_fn = F.smooth_l1_loss if smooth_l1_loss else F.mse_loss
 
         if use_lr_quantizer:
-            self.codebook = VectorQuantize(dim=codebook_dim, codebook_size=num_tokens, **lr_quantizer_args)
+            self.codebook = VectorQuantize(dim=codebook_dim, n_embed=num_tokens, **lr_quantizer_args)
         else:
             self.codebook = Quantize(codebook_dim, num_tokens, new_return_order=True)
 
@@ -270,7 +270,7 @@ if __name__ == '__main__':
     #print(o.shape)
     v = DiscreteVAE(channels=80, normalization=None, positional_dims=1, num_tokens=8192, codebook_dim=2048,
                     hidden_dim=512, num_resnet_blocks=3, kernel_size=3, num_layers=1, use_transposed_convs=False,
-                    encoder_choke=True, choke_dim=256)
+                    use_lr_quantizer=True)
     #v.load_state_dict(torch.load('../experiments/clips_dvae_8192_rev2.pth'))
     #v.eval()
     o=v(torch.randn(1,80,256))