Add auto wrapping for DDPFullyShardedNativeStrategy

[rohitgr7]

What does this PR do?

The PR resolves the note here: https://pytorch-lightning.readthedocs.io/en/latest/advanced/model_parallel.html?highlight=deepspeed#pytorch-fully-sharded-training

now users don't have to use wrap every time to shard the layers if they are switching to fully sharded.
I will do this to fairscale in a follow-up.

Does your PR introduce any breaking changes? If yes, please list them.

Before submitting

• Was this discussed/approved via a GitHub issue? (not for typos and docs)
• Did you read the contributor guideline, Pull Request section?
• Did you make sure your PR does only one thing, instead of bundling different changes together?
• Did you make sure to update the documentation with your changes? (if necessary)
• Did you write any new necessary tests? (not for typos and docs)
• Did you verify new and existing tests pass locally with your changes?
• Did you list all the breaking changes introduced by this pull request?
• Did you update the CHANGELOG? (not for typos, docs, test updates, or minor internal changes/refactors)

PR review

Anyone in the community is welcome to review the PR.
Before you start reviewing, make sure you have read the review guidelines. In short, see the following bullet-list:

• Is this pull request ready for review? (if not, please submit in draft mode)
• Check that all items from Before submitting are resolved
• Make sure the title is self-explanatory and the description concisely explains the PR
• Add labels and milestones (and optionally projects) to the PR so it can be classified

Did you have fun?

Make sure you had fun coding 🙃

cc @Borda

[codecov]

Codecov Report

Merging #14252 (38f9bc8) into master (e67842d) will decrease coverage by 3%.
The diff coverage is 40%.

@@            Coverage Diff             @@
##           master   #14252      +/-   ##
==========================================
- Coverage      79%      76%      -3%     
==========================================
  Files         111      332     +221     
  Lines        7258    26919   +19661     
==========================================
+ Hits         5740    20446   +14706     
- Misses       1518     6473    +4955