RuntimeError "Tensors must have same number of dimensions: got 1 and 2" in Speaker Diarization inference example file.
File ~/anaconda3/envs/hh/lib/python3.8/site-packages/nemo/collections/asr/data/audio_to_label.py:179, in _vad_frame_seq_collate_fn(self, batch)
    177 start = torch.zeros(append_len_start)
    178 end = torch.zeros(append_len_end)
--> 179 sig = torch.cat((start, sig, end))
    180 sig_len += slice_length
    182 if has_audio:

RuntimeError: Tensors must have same number of dimensions: got 1 and 2

Is anyone else seeing this error? 

I am using the Pytorch version = 1.13.0