GitLab

* 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

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

Bumps the minor-patch group with 1 update in the / directory: [ruff](https://github.com/astral-sh/ruff).


Updates `ruff` from 0.6.9 to 0.9.6
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/0.6.9...0.9.6

)

---
updated-dependencies:
- dependency-name: ruff
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-patch
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* blackwell

* blackwell

* Update python-package.yml

* Exclude tests from distribution

Fixes #1478

* Update pyproject.toml

* Update pyproject.toml

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

* initial support blackwell

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

* Update CMakeLists.txt

* Update CHANGELOG.md

* fix build-cuda.sh

* fix build-cuda.sh

* fix cuda 12.7 build-cuda.sh

* Update build-cuda.sh

* Update cuda from 12.6.2 to 12.6.3

* Update .github/workflows/python-package.yml
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

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

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

* Update .github/scripts/build-cuda.sh

* Update install_cuda.sh

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

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

* (chore) Remove unused dotfiles

* cleanup: remove unused kernels/C++ code

* 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>

* Remove triton.ops, copy necessary bits here

Summary: Triton upstream removed `triton.ops` and moved it to a
semi-unmaintained `kernels` repo.  Since all that's needed here is the perf
model, just add those bits here.

* Add source reference/license comment

* 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>