Added Distributed(Tensor Parallel) Inference Recipe

[acisseJZhong]

Context

What is the purpose of this PR? Is it to

• add a new feature
• fix a bug
• update tests and/or documentation
• other (please add here)

Please link to any issues this PR addresses.

Changelog

What are the changes made in this PR?

• Copied dev/generate_v2.py and added TP to the recipe. The main change is in __init__ and __setup__.
• Added model distribute to parallel each module.
• Generalize load_from_full_model_state_dict to general parallelism, not only FSDP.
• Added distributed inference config for llama3 70B and 3.1 70B.
• Fixed a few typos.

Test plan

Please make sure to do each of the following if applicable to your PR. If you're unsure about any one of these just ask and we will happily help. We also have a contributing page for some guidance on contributing.

• run pre-commit hooks and linters (make sure you've first installed via pre-commit install)
• add unit tests for any new functionality
• update docstrings for any new or updated methods or classes
• run unit tests via pytest tests
• run recipe tests via pytest tests -m integration_test
• manually run any new or modified recipes with sufficient proof of correctness
• include relevant commands and any other artifacts in this summary (pastes of loss curves, eval results, etc.)

UX

If your function changed a public API, please add a dummy example of what the user experience will look like when calling it.
Here is a docstring example
and a tutorial example

• I did not change any public API
• I have added an example to docs or docstrings

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/2245

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• Failures because of deprecated version of actions/download-artifact: v3

❌ 1 New Failure

As of commit a318544 with merge base baae232 ():

NEW FAILURE - The following job has failed:

• Lint / lint (3.10) (gh)

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[codecov-commenter]

Codecov Report

Attention: Patch coverage is 47.05882% with 18 lines in your changes missing coverage. Please review.

Project coverage is 66.84%. Comparing base (baae232) to head (f7615a1).

Files with missing lines	Patch %	Lines
torchtune/modules/transformer.py	38.46%	8 Missing ⚠️
torchtune/modules/attention.py	53.33%	7 Missing ⚠️
torchtune/modules/feed_forward.py	50.00%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2245      +/-   ##
==========================================
+ Coverage   64.30%   66.84%   +2.53%     
==========================================
  Files         352      352              
  Lines       20566    20598      +32     
==========================================
+ Hits        13225    13768     +543     
+ Misses       7341     6830     -511     

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