Description of the change

1. For new transformers (>4.48), model output could be simply a python tuple instead of a special object. Adjust Evaluator.evaluate() accordingly to accommodate both old and new versions.
2. Added a new QLinear wrapper QLinearINT8Train for INT8 training with HW emulation taken into account.
3. fix a setting in triton unit test to match with previous results. A default for kernel has been changed previously. It will increase the relative error of the triton matmul slightly and marginally fail some of the tests. We only apply <this flag>=False in unit tests and keep it True for real use.

Related issues or PRs

Will close #122 and #127 after this PR is merged.

How to verify the PR

dq example was tested with new version of transformers (4.52), which will show correct perplexity instead of throwing errors.

Was the PR tested

• I have added >=1 unit test(s) for every new method I have added (if that coverage is difficult, please briefly explain the reason)
• I have ensured all unit tests pass

Checklist for passing CI/CD:

• All commits are signed showing "Signed-off-by: Name <email@domain.com>" with git commit -signoff or equivalent
• PR title and commit messages adhere to Conventional Commits
• Contribution is formatted with tox -e fix
• Contribution passes linting with tox -e lint
• Contribution passes spellcheck with tox -e spellcheck
• Contribution passes all unit tests with tox -e unit

Note: CI/CD performs unit tests on multiple versions of Python from a fresh install. There may be differences with your local environment and the test environment.