fea(): reworked the 8x hpu skipping strategy

[imangohari1]

What does this PR do?

a Follow up on #1655, re-structured the check of 8x-HPU avail on system without loading the import habana_frameworks.torch.hpu as hthpu

GAUDI2_CI=1 RUN_SLOW=true python -m pytest tests/test_diffusers.py -s -v -k textual_inversion
========================================================= test session starts =========================================================
platform linux -- Python 3.10.12, pytest-7.4.4, pluggy-1.5.0 -- /usr/bin/python3
cachedir: .pytest_cache
rootdir: /devops/sgohari/tests/codes/ig/optimum-habana
configfile: setup.cfg
collected 165 items / 163 deselected / 2 selected

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======================================================= short test summary info =======================================================
FAILED tests/test_diffusers.py::GaudiStableDiffusionXLPipelineTester::test_textual_inversion_sdxl - AssertionError: 2.384394115335883 not greater than or equal to 2.53593
================================= 1 failed, 1 passed, 163 deselected, 3 warnings in 403.37s (0:06:43) =======

Fixes # (issue)

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests?

[imangohari1]

@dsocek take a look when you had a chance.

[dsocek]

Looks good, as we discussed this should fix the observed issue with custom ops test

[emascarenhas]

@dsocek @yafshar , Can you update the status, is this ready for merge?

[yafshar]

LGTM!

Hi @regisss, this PR is ready for your final review. Could you please take a look?

[regisss]

@imangohari1 LGTM! There is a merge conflict to solve.

[imangohari1]

@imangohari1 LGTM! There is a merge conflict to solve.

@regisss Thanks for the review! I resolved the conflicts.

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[imangohari1]

make style is done.

The code quality check failed, please run make style.