IPEX transformers upgrade to 4.55

[kaixuanliu]

What does this PR do?

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?

[kaixuanliu]

@echarlaix @IlyasMoutawwakil , pls help review, thx

[IlyasMoutawwakil]

maybe IPEXCacheLayer for clarity

[kaixuanliu]

Done

[IlyasMoutawwakil]

thanks for the update ! I'm not sure if I'm understanding correctly but I heard that ipex optimizations ae now upstreamed in pytorch, does that mean this integration should be deprecated ?

[IlyasMoutawwakil]

@kaixuanliu can you please fix the inc tests as well ? i think they use the ipex integration and that's why they're failing (using old transformers)

[yao-matrix]

thanks for the update ! I'm not sure if I'm understanding correctly but I heard that ipex optimizations ae now upstreamed in pytorch, does that mean this integration should be deprecated ?

Yes, @IlyasMoutawwakil , we are retiring IPEX to PyTorch in a step-by-step way. First step is Out-Of-Box library like transformers, accelerate which we are done now. The second step is hardware acceleration libraries like optimum-intel, this step depends on the kernels libraries readiness on XPU(we plan to switch custom op from IPEX to kernels), and we are working w/ Daniel and others to enable XPU kernels(rmsnorm, flash-attention etc.), before the kernels are ready, we don't want to break optimum-intel, so we will keep maintaining ipex integration before we fully switch to kernels. Does it make sense to you? Thx for your always support.