Hello,
Im trying to set up a processes to deal with streaming sensor data. I understand this is the exact usecase for iterable datasets. Unfortunately it seems to be a relatively new feature and tutorials on how to make and use iterable datasets appear to be rare.
To start I am mocking by making my iter function grab from a CSV.  I am not sure exactly what my iter function should be returning.  Currently its returning a ‘TensorDataset’ because that’s what I was able to find examples of how to consume in training/validation but it complains about that TypeError: iter() returned non-iterator of type ‘TensorDataset’.
How do I put together the information of the data and its labels for a DataLoader to use so I can train my model?
Thank you