🚀 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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🚀 Refactoring

As isort has been added to ci in #4242, we now need to apply the formatter step by step i.e. a submodule per PR (recommended in PyTorchLightning/pytorch-lightning#4242 (comment) by @Borda)

Steps

For each PR:

1. choose one submodule from below list and apply isort to it
2. remove the corresponding line in pyproject.toml
3. make

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

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

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

Is it possible to run this on a (recent) Mac, which does not support CUDA? I would have guessed setting --GPU 0 would not attempt to call CUDA, but it fails.

File "/Users/../Desktop/bopbtl/venv/lib/python3.7/site-packages/torch/cuda/__init__.py", line 61, in _check_driver
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enable