1/n Call training_type_plugin collective functions directly instead of going through the Accelerator

[four4fish]

What does this PR do?

1/n for Directly call TrainingTypePlugin APIs instead of going through the Accelerator

Take incremental step for collective consolidation
Call training type plugin collective function directly instead of go through accelerator

2/n Consolidate collective functions - collective base and subclasses (#9414) will take time to polish the API, so have this implementation to unblock precision plugin refactor

Part of #7534
Part of #9426

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

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[ananthsub]

training type plugin is already a top-level property on the trainer: https://github.com/PyTorchLightning/pytorch-lightning/blob/41e3be197f5a2fd0f65b37b743ebfd157a55595d/pytorch_lightning/trainer/trainer.py#L1445-L1447

as this is part of #9426 , we should directly update callsites to call collectives via the training type plugin.

do you want to mark the collectives defined on the accelerator as deprecated in another PR? same question for LightningDistributed

[codecov]

Codecov Report

Merging #9677 (abf0833) into master (a3def9d) will decrease coverage by 4%.
The diff coverage is 92%.

❗ Current head abf0833 differs from pull request most recent head 616617b. Consider uploading reports for the commit 616617b to get more accurate results

@@           Coverage Diff           @@
##           master   #9677    +/-   ##
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- Coverage      93%     89%    -4%     
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  Files         179     179            
  Lines       15314   15311     -3     
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- Hits        14208   13591   -617     
- Misses       1106    1720   +614     

[tchaton]

LGTM !