IntelGPU: add device support for widedeep models

[weishi-deng]

To evaluate the accuracy and performance on xpu devices, this PR aims to add device support for wide&deep models.

[codecov]

Codecov Report

Attention: Patch coverage is 80.00000% with 1 line in your changes missing coverage. Please review.

Project coverage is 94.86%. Comparing base (a4ac1d6) to head (9cceba5).

Files with missing lines	Patch %	Lines
pytorch_widedeep/utils/general_utils.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #244      +/-   ##
==========================================
- Coverage   94.87%   94.86%   -0.02%     
==========================================
  Files         126      126              
  Lines        8277     8280       +3     
==========================================
+ Hits         7853     7855       +2     
- Misses        424      425       +1     

Flag	Coverage Δ
unittests	94.86% <80.00%> (-0.02%)	⬇️

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[jrzaurin]

The only test that fails is code style, which is fine

Happy to merge and thanks for opening the PR!

[jrzaurin]

Thanks for opening the PR! (I don't have much time to maintain this these days, but I will be back!)

The tests that fail are only style ones, so all cool, is fine.

please, feel free to merge!

[jrzaurin]

@weishi-deng

Before you merge make sure you re-base or merge the new master (I will eventually re-name it to main :) ) into your branch. I have updated the unit tests to function with torch 2.6 or later.

Otherwise you will experience merge conflicts

[jrzaurin]

tests are failing once I updated to support newer versions of torch, if you wanted to merge we would need to fix those. I will have a look asap