spaCy is great as a preprocessor for NLP labeling functions, but there are other libraries that individuals may want to use.

Ideally, we'd like to have wrappers for other packages as well, such as Stanford CoreNLP (https://stanfordnlp.github.io/stanfordnlp/) and NLTK (https://www.nltk.org/). We can pattern match on the [SpacyPreprocessor](https://snorkel.readthedocs.io/en/master/packages/_autos

So, we have some existing code over at the PyTorch Ignite project that is actually pretty general and might be really handy to have in DALI: pytorch/ignite#766

In core PyTorch, you can chain transformations and FileIO together easily with the Compose() operation: https://pytorch.org/docs/stable/torchvision/transforms.html#torchvision.transforms.Compose

Something like

Hi PBA Team,

Spotted this warning in my IDE when looking through your code:

https://github.com/arcelien/pba/blob/a9cc308d936dee488aab7e3582ab7a47167b587a/pba/augmentation_transforms.py#L224

getargspec() has been deprecated since Python 3.0 in favour of getfullargspec()

It may be worthwhile adding a try/except block for this import because getfullargspec() isn't available in Pyt