🚀 Feature request

Add better error message to HubertForCTC, Wav2Vec2ForCTC if labels are bigger than vocab size.

Motivation

Following this issue: huggingface/transformers#12264 it is clear that an error message should be thrown if any of the any of the labels are > self.config.vocab_size or else silent errors can sneak into the training script.

So w

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🚀 Feature

Support the following:

@dataclass
class MyDataModule(LightningDataModule):
    pass

Motivation

To reduce boilerplate code is at the core of philosophy in Lightning. It should be compatible with dataclasses.

Code sample

Here is an example. It currently does not work as we have some internal attributes that don't play well with the dataclass.

Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

New Operator

Describe the operator

Why is this operator necessary? What does it accomplish?

This is a frequently used operator in tensorflow/keras

Can this operator be constructed using existing onnx operators?

If so, why not add it as a function?

I don't know.

Is this operator used by any model currently? Which one?

Are you willing to contribute it?

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

Hi
Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq