GitLab

* Setup XPU CI

* CI: expand XPU matrix

* test

* test

* test

* test

* test

* test

* test

* test

* test

* test

* skip some fp4 tests on hpu

* skip some fp4 tests on hpu

* skip gemv tests on hpu

* test

* Additional test patches for HPU

* HPU test update

* HPU test update

* HPU test update

* HPU test update

* Format

* Tests: add linux x64 cpu+ipex to nightly CI workflow

* typo

* Tests: guard linear8bit compile test for ipex cpu issue

* Add torch.compile tests

* Tests: WA aarch64 CPU regressions for torch 2.6.0; add Windows torch==2.7.0+cu118 test config

* Tests: skip torch.compile for cuda on windows

* General cleanup & test improvements

* Tests: WA numpy 2 compat issue for torch<2.3

* Tests: update aarch64 cpu min torch version

* Tests: update aarch64 cpu min torch version

* Tests: update aarch64 cpu min torch version

* Test g5g runner

* Switch L4 to L40S runner; swap GitHub Linux T4 runner for AWS g4dn

* Run tests on last 2 pytorch stable releases

* Run tests on last 2 pytorch stable releases

* Improvements for testing suite

* Add workflow for macOS arm64 CPU tests

* Update tests.yml

* Update tests.yml

Use new L4 and CPU runners for testing.

* Update tests.yml

* Improvements for testing suite

* Add workflow for macOS arm64 CPU tests

Show slow test durations.

* Add aarch64 cpu tests and CUDA build to nightly workflow

* aarch64: limit CUDA targets to sm75, sm80, sm90, sm100

* aarch64: limit CUDA targets to sm75, sm80, sm90, sm100

* Update build cpu script

* fix

* Update auditwheel for aarch64

* Run unit tests on GH Actions

* fix

* fix

* trigger workflow

* Update

* Update

* Update

* Run tests nightly

* Disable paged optimizer test on Windows

* Skip unit tests on Windows for CUDA 12.x (driver on runner is too old)