GitLab

* Add torch 2.8 rc / 2.9 nightly to tests

* Update tests.yml

* Update tests.yml

* Add CUDA 12.9 to build/test workflows

* Downgrade Jimver/cuda-toolkit to v0.2.24

* Update python-package.yml

* Update python-package.yml

* Update python-package.yml

* Update tests.yml

* Update tests.yml

* Port ROCm changes from multi-backend-refactor branch

* Update ops.py

* Update functional.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update functional.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update functional.py

* Update functional.py

* Update functional.py

* Update functional.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update ops.py

* Update functional.py

* Update functional.py

* Update functional.py

* Update test_ops.py

* Update test_functional.py

* Update test_ops.py

* Update test_functional.py

* Update test_functional.py

* Update functional.py

* Update functional.py

* Update ops.py

* Update ops.py

* Update test_functional.py

* Update test_functional.py

* Update cextension.py

* Update cuda_specs.py

* Update cuda_specs.py

* Update test_functional.py

* Update test_linear4bit.py

* Update test_cuda_setup_evaluator.py

* Update test_functional.py

* Update modules.py

* Update modules.py

* Update ops.py

* Update test_linear4bit.py

* Update ops.py

* Update ops.py

* Update test_linear4bit.py

* Update test_linear4bit.py

* Update python-package.yml

* Update python-package.yml

* Update python-package.yml

* Update python-package.yml

* Create build-rocm.sh

* Update cuda_specs.py

* Fix trailing whitespace

* Remove conflicts.diff

* update for hipblasVersionMajor >=3

* Update test_functional.py

* Update test_linear4bit.py

* Update test_ops.py

* Update main.py

* Update test_functional.py

* Update test_linear4bit.py

* Update test_ops.py

* Update test_linear4bit.py

* Lint

* Lint

* Update helpers.py

* Update test_functional.py

* Update test_linear4bit.py

* Update test_ops.py

* Lint

* Update pythonInterface.cpp

* lint fix

* lint

* Update pythonInterface.cpp

* revert permissions change

* Fix indentation

* Update kernels_hip.cuh

* Update kernels.hip

* Update ops.hip

* Update ops_hip.cuh

* Update kernels_hip.cuh

* Update kernels.hip

* Update kernels.hip

* Update ops.hip

* Update ops_hip.cuh

* Update ops.hip

* Update CMakeLists.txt

* Update functional.py

* Update cextension.py

* Update cextension.py

---------
Co-authored-by: MISHANMAURYA <118961433+MISHANMAURYA@users.noreply.github.com>
Co-authored-by: MISHANMAUYRA <mishanmaurya31081@gmail.com>
Co-authored-by: amcamd <andrew.chapman@amd.com>
Co-authored-by: Prasanth Nunna <root@banff-cyxtera-s78-1.amd.com>

* 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.

Fix trailing whitespace.

* 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

* Update python-package.yml

* Update python-package.yml

* Update python-package.yml

* Cleanup

* Matrix update

---------
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

* 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)

* Stop building for CUDA toolkit < 11.8

* Simplify

* Drop sm70 from cu128 build targets to align with pytorch

* Drop Python 3.8 support.

* Formatting

* blackwell

* blackwell

* Update python-package.yml

* chore: move configs to pyproject.toml

* fix: drop file from CI workflow

* feat: reorder pytest markers

* chore: retain comments

* chore(build): migrate build data to pyproject
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Aarni Koskela <akx@iki.fi>

* chore: move configs to pyproject.toml

* Apply suggestions from code review
Co-authored-by: Aarni Koskela <akx@iki.fi>

* bump ruff

---------
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>
Co-authored-by: Aarni Koskela <akx@iki.fi>

* Start of int8 refactor: remove col32/col_ampere/col_turing transforms in new igemmlt implementation

* Fix unintended change

* New naive mm_dequant kernel for row-major; cleanup

* fix

* int8 refactor: initial sparse decomp, cleanup

* Int8 refactoring: remove separate NO_CUBLASLT build; more cleanup

* int8: inference optimizations, some cleanup

* int8: more tests passing, cleanup

* int8 - more cleanup, most tests passing

* int8: specify CUDA stream for int8 ops

* perf: reduce overhead from getting cudaStream ptr

* Mark some functions for deprecation.

* int8 sparse decomp: small perf improvement

* update setup.py

* Update bitsandbytes/autograd/_functions.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update bitsandbytes/research/autograd/_functions.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* int8 - perf improvement for sparse decomposition inference; deprecate get_tensor_stream() in favor of new private fn

* int8 cleanup

* Ignore ruff rule ISC001 (incompatible with formatter)

* add comment

* int8 more cleanup

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* int8: rename / deprecate old fn signatures

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* type annotation

* format update

* Update bitsandbytes/research/autograd/_functions.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* cleanup

* Add comment to explain division optimization

* more cleanup

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* Update bitsandbytes/functional.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* cleanup

* Type annotations, cleanup

* remove unused kernels; improved type annotations

* small perf optimization for single-GPU systems

* small perf optimization for single-GPU systems

* update docstrings

* Improve docs and tests

* Update docstring

* Update test

* add benchmarking script

* test cleanup: add deprecated marker, move benchmarks out

* Add int8 dequant function; misc improvements

* int8 matmul fallback for inner dims not divisible by 4

* improve register usage of kInt8VectorQuant - especially for A100/H100

* disable fail-fast for package build

* maxwell compat

* ptxas verbose

* docs update

* doc update

* backward fix

* Bugfix sparse decomp

* Int8 fix for PEFT OLoRA init

* Fix test for deprecated spmm_coo

* test improvement

* doc update

* typo

* doc cleanup

* docs

* add inference benchmark script

* Add benchmarks, doc update

---------
Co-authored-by: Aarni Koskela <akx@iki.fi>

* [Build] Add CUDA 12.6.2 build; update 12.5.0 to 12.5.1

* bump cuda-toolkit action version

* Update docs for cuda versions