GitLab

* Implemented 32bit optimizers in triton

* Modify Comments

* Optimizing pure torch implementation

* Restore the order of parameters and modify the position of pure pytorch implementation

* Restore files permissions

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Co-authored-by: Fanli Lin <fanli.lin@intel.com>

* Test suite improvements for MPS/XPU/HPU

* Skip test on torch==2.8.0+cpu for Windows regression

* Add parametrize util for targeting parameters outside of nn.Linear modules

* Parametrize 4bit: replace existing prequantized weight

* cleanup

* Add caching for parametrization

* Add tests

* Fix tests

* Guard for torch < 2.5

* Guard for torch < 2.5

* Another test gaurd for torch >= 2.5

* for intel xpu case, use MatMul8bitFp even not use ipex
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* fix lint issue
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

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Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* add int mm for xpu after torch 2.9
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* add packaging on pyproject
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

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Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Fix unused variable warnings and other ruff warnings
Signed-off-by: cyy <cyyever@outlook.com>

* Fix format
Signed-off-by: cyy <cyyever@outlook.com>

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Signed-off-by: cyy <cyyever@outlook.com>

Signed-off-by: cyy <cyyever@outlook.com>

[CUDA] Fixing quantization uint8 packing bug for NF4 and FP4

Fix Params4bit tensor subclass handling

Add Volta support in cu128/cu129 builds

Create FUNDING.yml

Add kernel registration for 8bit and 32bit optimizers

[XPU] Add inference benchmark for XPU

fix log

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>