Add array_api_dispatch to spmd validation scope

[ethanglaser]

Description

---

Checklist:

Completeness and readability

• I have commented my code, particularly in hard-to-understand areas.
• I have updated the documentation to reflect the changes or created a separate PR with updates and provided its number in the description, if necessary.
• Git commit message contains an appropriate signed-off-by string (see CONTRIBUTING.md for details).
• I have resolved any merge conflicts that might occur with the base branch.

Testing

• I have run it locally and tested the changes extensively.
• All CI jobs are green or I have provided justification why they aren't.
• I have extended testing suite if new functionality was introduced in this PR.

Performance

• I have measured performance for affected algorithms using scikit-learn_bench and provided at least a summary table with measured data, if performance change is expected.
• I have provided justification why performance and/or quality metrics have changed or why changes are not expected.
• I have extended the benchmarking suite and provided a corresponding scikit-learn_bench PR if new measurable functionality was introduced in this PR.

[ethanglaser]

/intelci: run

[ethanglaser]

/intelci: run

[codecov]

Codecov Report

❌ Patch coverage is 25.00000% with 3 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
onedal/_device_offload.py	25.00%	2 Missing and 1 partial ⚠️

Flag	Coverage Δ
azure	78.67% <25.00%> (?)
github	?

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
onedal/_device_offload.py	71.83% <25.00%> (-10.97%)	⬇️

... and 32 files with indirect coverage changes

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[david-cortes-intel]

The CI error:

FAILED spmd/decomposition/tests/test_pca_spmd.py::test_pca_spmd_synthetic[False-True-float64-dpnp-SyclQueue_GPU-False-None-100-10000] - TypeError: An array must be any of supported type, but got <class 'numpy.ndarray'>

[david-cortes-intel]

@ethanglaser Could you merge #2906 here to verify that the combination of both solves the CI issue?

[ethanglaser]

/intelci: run

[ethanglaser]

/intelci: run

[david-cortes-intel]

The new error, this time in logistic regression SPMD:

TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.asnumpy()` to construct a NumPy array explicitly

[ethanglaser]

The new error, this time in logistic regression SPMD

Errors in kmeans and logreg are expected. This PR will not be merged until those array API updates are complete