🚀 Feature request

T5ForConditionalGeneration inherits generate from PreTrainedModel via GenerationMixin.

Currently in our docs if we write:

for more info see :meth:`transformers.T5ForConditionalGeneration.generate`

it doesn't get resolved in the html docs (it doesn't get a xref link, but leaves it as a text)

Neither transformers.PreTrainedModel.generate gets resolv

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🐛 Bug

Please reproduce using the BoringModel

Currently, the progress bar doesn't make distinction between running in a real terminal or being piped to logs.

When Lightning run in logs, it produces a prog_bar line for each change.

<img width="1659" alt="Screenshot 2021-03-23 at 09 10 40" src="/sitelet?url=https%3A%2F%2Fweb.archive.org%2Fweb%2F20210414010718%2Fhttps%3A%2F%2Fgithub.com%2Ftopics%2F%253Ca%2520href%3D"/sitelet?url=https%3A%2F%2Fweb.archive.org%2Fweb%2F20210414010718%2Fhttps%3A%2F%2Fuser-images.git%2F" rel="nofollow">https://user-images.git

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

Bug Report

These tests were run on s390x. s390x is big-endian architecture.

Failure log for helper_test.py

________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________

self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>

    def test_make_tensor(self):  # type: () -> None
    

I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.

Please can you train ghostnet.
(i don't have the imagenet dataset)