🚀 Feature request

This is a documentation request in order to make it easier to find corresponding examples in the documentation.

Good first issue if you want to get acquainted with the docs and how to build docs using Sphinx!

Current issue

Here's the issue: currently, if one goes to an older documentation version to check the "examples" page, for example, [v2.6.0](https://huggin

some recordings have low volume so the output can be sometimes really quiet. how about we add a volume bar so we can make the output louder/quieter?

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

Add a mapping between custom accelerators and "nicknames" so that you can

Trainer(accelerator=‘nickname’)

more details at: allenai/allennlp#2264 (comment)

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
    

What would you like to be added: As title

Why is this needed: All pruning schedule except AGPPruner only support level, L1, L2. While there are FPGM, APoZ, MeanActivation and Taylor, it would be much better if we can choose any pruner with any pruning schedule.

**Without this feature, how does current nni

Currently our non-notebook examples are manually included in the examples webpage via custom .rst files in tutorial/source/. As the number of examples increases, it would be better to follow NumPyro's approach and generate HTML pages automatically with sphinx_gallery. This would make examples easier t