diff --git a/vocoder/tf/convert_melgan_torch_to_tf.py b/vocoder/tf/convert_melgan_torch_to_tf.py
index 1b3d687d..4c8515d9 100644
--- a/vocoder/tf/convert_melgan_torch_to_tf.py
+++ b/vocoder/tf/convert_melgan_torch_to_tf.py
@@ -100,13 +100,18 @@ for i in range(1, len(model.layers)):
     diff = compare_torch_tf(out_torch, out_tf_)
     assert diff < 1e-5, diff
 
-dummy_input_torch = torch.ones((1, 80, 10))
+torch.manual_seed(0)
+dummy_input_torch = torch.rand((1, 80, 100))
 dummy_input_tf = tf.convert_to_tensor(dummy_input_torch.numpy())
+model.inference_padding = 0
+model_tf.inference_padding = 0
 output_torch = model.inference(dummy_input_torch)
 output_tf = model_tf(dummy_input_tf, training=False)
 assert compare_torch_tf(output_torch, output_tf) < 1e-5, compare_torch_tf(
     output_torch, output_tf)
+
 # save tf model
 save_checkpoint(model_tf, checkpoint['step'], checkpoint['epoch'],
                 args.output_path)
 print(' > Model conversion is successfully completed :).')
+