Runtime error when exporting FastPitch model to ONNX
I tried to export a FastPitch model I trained to ONNX with [export.py](https://github.com/NVIDIA/NeMo/blob/main/scripts/export.py).
The command I used was:
`python scripts/export.py "/home/xxx/TTSs/Nemo-models/nancy_fastpitch-44k-new-v3.nemo" "nancy_fastpitch-44k-new-v3.onnx" --runtime-check --device="cpu" --autocast`
But it produced an error:
```
Traceback (most recent call last):
  File "scripts/export.py", line 169, in <module>
    nemo_export(sys.argv[1:])
  File "scripts/export.py", line 158, in nemo_export
    raise e
  File "scripts/export.py", line 139, in nemo_export
    output_example = forward_method(model)(*input_list, **input_dict)
  File "/mnt/d/TTSs/NeMo/nemo/collections/tts/models/fastpitch.py", line 576, in forward_for_export
    return self.fastpitch.infer(text=text, pitch=pitch, pace=pace, speaker=speaker)
  File "/mnt/d/TTSs/NeMo/nemo/collections/tts/modules/fastpitch.py", line 288, in infer
    enc_out, enc_mask = self.encoder(input=text, conditioning=spk_emb)
  File "/home/tony/Envs/nemo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/mnt/d/TTSs/NeMo/nemo/collections/tts/modules/transformer.py", line 262, in forward
    return self._forward(self.word_emb(input), (input != self.padding_idx).unsqueeze(2), conditioning)  # (B, L, 1)
  File "/home/tony/Envs/nemo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/tony/Envs/nemo/lib/python3.8/site-packages/torch/nn/modules/sparse.py", line 158, in forward
    return F.embedding(
  File "/home/tony/Envs/nemo/lib/python3.8/site-packages/torch/nn/functional.py", line 2044, in embedding
    return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Inference tensors do not track version counter.
```
when it was `Getting output example`.

What am I missing? Thank you!