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* v0.3.0 it is, celebration time

* [docs]: add checkpoint_wrapper and many small fixes

* update copyright year

* fix broken link

* remove link

* add direct link

* add direct link

* add direct link

* add direct link

* add direct link

* add direct link
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* [doc]: AdaScale example and notes

* formatted notes correctly as suggested by Benjamin

* added feature and unit test to make sure lr_scheduler works

* update the example with lr_scheduler

* fixed doc with "make html"

* addressed Mike's suggestions

Thanks Jessica for the heads up !

* add logo

* Update README.md
Co-authored-by: Vittorio Caggiano <caggiano@fb.com>

Fixing the relative positions of the html docs.

* rewrite using autograd and Variable execution queue to make the reduce automatic
* share buckets with OSS to remove duplication
* some speed still likely on the table since the speed vs. bucketing does not match expectations, could be a follow up

* adding a shard-aware GradScaler wrap, credits to Sean Naren for the idea
* adding stubs & explanations in the documentation

- removed experimental warning as we have validated it on cifar and
imagenet, transformer is looking good so far too.
- fixed API doc formatting
- make it consistent with the other code in the repo
- tested by making the doc locally and inspect the results

Adds support for:
* Reused layers (e.g. for weight sharing)
* Lazily-constructed layers
* Single-process control via PipeRPCWrapper
* PipelineStyle.AsyncScheudle, which lays the foundation for asynchronous pipeline work by introducing an event loop for each rank/worker to process either activations or gradients as they arrive

Also added examples for multi-process and PipeRPCWrapper

fix broken link

fix max depth

fix maxdepth

* wip_example

* [wip]mnist_pipe_example

* [wip]mnist_pipe_example

* [wip]mnist_pipe_example

* [wip]mnist_pipe_example

* [wip]mnist_oss_example

* working prototype

* added tutorial script

* update tutorial

* Update mnist_test_oss.py

* Update mnist_test_oss.py

* Update mnist_test_oss.py

* Update mnist_test_pipe.py

* Update tutorial_oss.py

* Update tutorial_pipe.py

* Update tutorial_pipe.py

* Update mnist_test_oss.py

* Update tutorial_pipe.py

* Update mnist_test_pipe.py

* Update tutorial_pipe.py

* fix black

* fix flacke8

* general fixes

* add example oss+pipe

* fix isort

* Update mnist_test_pipe.py

* fix black
Co-authored-by: Vittorio Caggiano <caggiano@devfair0253.h2.fair>

* fixing the readme for oss

* Add implementation of AdaScale

* add adascale docs

* bugfix
* adjust default non-regression loss, not all_reduced now

* wrapping the model in DDP in the tutorial

* typo

* various fixes, no more issues with `make html` and more API fields should be populated

* Doc extensions to some APIs
* FIx the benchmark and tutorial

Adds support for distributing pipeline stages across multiple processes (and therefore multiple machines)
* Adds a style argument to the Pipe constructor, defaulting to PipelineStyle.SingleProcess, but also supporting PipelineStyle.MultiProcess
* Added support for lazy construction of modules (see lazy_construction for an example)
* Added two implementations of inter-process communication: one based on rpc with globally visible queues, one based on send/recv
* Copied all the relevant tests from tests/pipe to tests/pipe_process and modified them to exercise PipelineStyle.MultiProcess

Add a small tutorial, similar to the OSS README

Also updated canonical_url to be fairscale.
Also removed unnecessary htmi_theme_path.