---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-57-7ba835194d9d> in <cell line: 2>()
      1 start = time.time()
----> 2 wav = inference(text, ref_s, alpha=0.9, beta=0.9, diffusion_steps=20, embedding_scale=1)
      3 rtf = (time.time() - start) / (len(wav) / 24000)
      4 print(f"RTF = {rtf:5f}")
      5 import IPython.display as ipd

<ipython-input-56-ef588f1fafe6> in inference(text, ref_s, alpha, beta, diffusion_steps, embedding_scale)
     38         pred_dur = torch.round(duration.squeeze()).clamp(min=1)
     39 
---> 40         pred_aln_trg = torch.zeros(input_lengths, int(pred_dur.sum().data))
     41         c_frame = 0
     42         for i in range(pred_aln_trg.size(0)):

ValueError: cannot convert float NaN to integer