utils refactor clean-up

[RdoubleA]

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)

Few follow-up items after #1421 was completed. Some helpers were in the wrong locatino to avoid circular dependencies. We moved those back and remove some pesky dependencies between modules that pollute our dependency graph.

• Removes the config <> training dependency. config should not depend on anything in training, only recipes should depend on training. Instead of checking for rank zero without log_config, do it in distribtued recipes instead.
• Moves _get_prompt_template to data/ so config/ does not depend on any other directory other than utils/
• Moves deprecated from data/ to utils/, a more appropriate location.

Changelog

What are the changes made in this PR?

Test plan

Please make sure to do each of the following if applicable to your PR. (If you're not sure 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.
Example of docstring:

torchtune/torchtune/modules/vision_transformer.py

Line 285 in 6a7951f

Examples:

Example in our docs: https://pytorch.org/torchtune/main/tutorials/qat_finetune.html#applying-qat-to-llama3-models

• 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/1515

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As of commit 0b586b1 with merge base 31a95a9 ():
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[codecov-commenter]

Codecov Report

Attention: Patch coverage is 20.00000% with 12 lines in your changes missing coverage. Please review.

Project coverage is 72.88%. Comparing base (277fbf8) to head (1aafd6b).

Files with missing lines	Patch %	Lines
recipes/full_finetune_distributed.py	0.00%	3 Missing ⚠️
recipes/lora_dpo_distributed.py	0.00%	3 Missing ⚠️
recipes/lora_finetune_distributed.py	0.00%	3 Missing ⚠️
recipes/qat_distributed.py	0.00%	3 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1515       +/-   ##
===========================================
+ Coverage   27.10%   72.88%   +45.77%     
===========================================
  Files         284      284               
  Lines       13813    13810        -3     
===========================================
+ Hits         3744    10065     +6321     
+ Misses      10069     3745     -6324     

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