Upgrade to PyTorch 2.0

[agunapal]

Description

• Upgrade to PyTorch 2.0
  • TorchVision : 0.15.1
  • TorchAudio: 2.0.1
  • TorchText: 0.15.1
• Support for CUDA 11.8 . Default is CUDA 11.7
• Updated Regression tests to run once a week

Fixes #(issue)

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

Feature/Issue validation/testing

Please describe the Unit or Integration tests that you ran to verify your changes and relevant result summary. Provide instructions so it can be reproduced.
Please also list any relevant details for your test configuration.

• regression-gpu (cu117).txt
• regression-gpu (cu118).txt
• regression-cpu (ubuntu-20.04).txt
• regression-cpu (macOS-latest).txt

Checklist:

• Did you have fun?
• Have you added tests that prove your fix is effective or that this feature works?
• Has code been commented, particularly in hard-to-understand areas?
• Have you made corresponding changes to the documentation?

[codecov]

Codecov Report

Merging #2194 (225747d) into master (c164374) will not change coverage.
The diff coverage is n/a.

❗ Current head 225747d differs from pull request most recent head 2eb4f13. Consider uploading reports for the commit 2eb4f13 to get more accurate results

@@           Coverage Diff           @@
##           master    #2194   +/-   ##
=======================================
  Coverage   71.45%   71.45%           
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  Files          73       73           
  Lines        3296     3296           
  Branches       57       57           
=======================================
  Hits         2355     2355           
  Misses        941      941           

see 1 file with indirect coverage changes

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[agunapal]

@msaroufim I updated the regression tests to run once a week on Sunday

[msaroufim]

I think we can run regressions nightly, are we still compute constrained?