GitLab

* 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

* Improvements for testing suite

* Add workflow for macOS arm64 CPU tests

* Additional 4bit CPU ops

* Additional 4bit CPU ops

* Implement additional device-agnostic ops and test updates

* More test fixes

* int8 tests passing

* Fix feature flag for multi_backend

* Include device support tags for transformers multi-backend compatability; add xpu() and cpu() to Params4bit

* Make test suite more device-agnostic

* Additional device agnostic tests

* Additional device agnosticism for tests

* Add BNB_TEST_DEVICE env var to manually select device for unit tests

* Include device support tags for transformers multi-backend compatability; add xpu() and cpu() to Params4bit

* Make test suite more device-agnostic

* Additional device agnostic tests

* Additional device agnosticism for tests

* Add BNB_TEST_DEVICE env var to manually select device for unit tests

* Small bugfix for int8 test

* Exclude backward() from code coverage reports

* Params4bit: don't try to quantize when moving to meta device

* Testing cleanup

* More test cleanup

* Additional deprecations/removals.

* Skip benchmark, deprecated, slow tests by default

* Sketch out first custom op registration

* Add note

* Initial int8 op registration

* Cleanup some deprecated functions.

* Int8 ops updates; tests

* Implement 4bit quant/dequant ops

* Fix nested quant

* cleanup

* Test improvements

* Clean up and improve tests

* Add higher level custom op for int8 matmul + dequant + bias

* Add gemv 4bit custom op

* Cleanup

* Implement out kwarg overloads for custom ops

* Update PyTorch minimum to 2.1

* Deprecation updates

* Deprecation updates

* Cleanup; rename int8_linear_dequant -> int8_scaled_mm

* Bump min pytorch to 2.2

* cleanup

* Test reorganization

* Remove deprecated supports_igemmlt

* More cleanup

* Cleanup obsolete C++/CUDA code

* Cleanup

* Create 'default' backend for fallback op implementations; initial CPU nf4 work

* Stub out for multi-platform

* Fix serialization tests for torch>=2.6.0

* Add example for torch.compile e2e inference

* Test update

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Co-authored-by: Titus von Koeller <9048635+Titus-von-Koeller@users.noreply.github.com>