[Fastpitch/Pytorch] AssertionError for pitch and mel size when used on my own datasets.

[rishabhjain16]

I am getting the following error when I try using Fastpitch on my own datasets. I know it has something to do with data preparation. I am trying this model on the child speech dataset. Any advice for me?

Traceback (most recent call last):
  File "train.py", line 548, in <module>
    main()
  File "train.py", line 408, in main
    for batch in train_loader:
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 518, in __next__
    data = self._next_data()
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1200, in _next_data
    return self._process_data(data)
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1226, in _process_data
    data.reraise()
  File "/opt/conda/lib/python3.8/site-packages/torch/_utils.py", line 434, in reraise
    raise self.exc_type(msg)
AssertionError: Caught AssertionError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 202, in _worker_loop
    data = fetcher.fetch(index)
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/workspace/fastpitch/DeepLearningExamples/PyTorch/SpeechSynthesis/FastPitch/fastpitch/data_function.py", line 228, in __getitem__
    assert pitch.size(-1) == mel.size(-1)
AssertionError

I even try to remove some of the data manually but not possible to do it for all audio files. Any ideas on how I can get past this issue?