GitLab

* 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>

* Automatically call CMake as part of PEP 517 build

Call CMake and build the CPU extension when invoking the build
via a PEP 517 backend, to ensure that at least some extension is built
when users are building from source.  This improves consistency with
other Python packages, and reduces the risk of accidents.

We are using `scikit-build-core` setuptools plugin to take care of CMake
dependencies and call into CMake.  However, we need to modify
the `build_py` command to ensure that CMake is called prior to
the setuptools command, as otherwise the newly built shared library
won't be picked up by `build_py`.

Since setuptools is still responsible for collecting the Python package,
it also collects all other shared libraries that were built earlier,
for example via manual CMake calls as done in the CI pipeline.
Furthermore, if the user does not have `scikit-build-core` installed
and calls `setup.py` directly, we output a warning but continue working
as before.

The logic can be further extended in the future, for example to detect
the best COMPUTE_BACKEND default.

Fixes #1511

* Include C sources and build files in source distribution

* Fix formatting

* Add torch 2.8 rc / 2.9 nightly to tests

* Update tests.yml

* Update tests.yml