* update codeql

* fix uint32 zero issue

* initial transparency.

* enhance transparency.

* rename transparency

* dependabot fix

* update transparency.

* update plugin

* remove redundant transparency

* dsl benchmark scirpts

* update submodule.

* remove redundant code.

* remove transparency

* fix propagate map issue

* implement in register dequantize config

* optimize target

* fix tag.

* fix some issues on ampere game device

* finetune with data distribution.

* fill matmul benchmarking scripts

* refactor use_async_copy to bool value

* support af format

* format fix

* support propagate input transform for dequantization.

* update requirements

* update requirements.txt

* update af4 related tests.

* clean test

* naive support for dynamic zeros

* move to bitdistiller

* implement lop3 with zeros cpp test

* implement fast decoding with zeros

* update zero generation support.

* Bump transformers from 4.29.2 to 4.36.0

Bumps [transformers](https://github.com/huggingface/transformers) from 4.29.2 to 4.36.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.29.2...v4.36.0)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* Bump pillow from 9.4.0 to 10.2.0

Bumps [pillow](https://github.com/python-pillow/Pillow) from 9.4.0 to 10.2.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@9.4.0...10.2.0)

---
updated-dependencies:
- dependency-name: pillow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* Bump tornado from 6.2 to 6.3.3

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.2 to 6.3.3.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.2.0...v6.3.3)

---
updated-dependencies:
- dependency-name: tornado
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* Bump scipy from 1.5.3 to 1.11.1

Bumps [scipy](https://github.com/scipy/scipy) from 1.5.3 to 1.11.1.
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.5.3...v1.11.1)

---
updated-dependencies:
- dependency-name: scipy
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* Bump jinja2 from 3.1.2 to 3.1.3

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.2 to 3.1.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@3.1.2...3.1.3)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* Bump pygments from 2.2.0 to 2.15.0

Bumps [pygments](https://github.com/pygments/pygments) from 2.2.0 to 2.15.0.
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](pygments/pygments@2.2.0...2.15.0)

---
updated-dependencies:
- dependency-name: pygments
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* Bump pygments from 2.13.0 to 2.15.0

Bumps [pygments](https://github.com/pygments/pygments) from 2.13.0 to 2.15.0.
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](pygments/pygments@2.13.0...2.15.0)

---
updated-dependencies:
- dependency-name: pygments
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

* update requirements and matmul.

* support fast decode for int8 related items

* improve pass context

* update benchmark related figures.

* update benchmark readme

* reorganize readme

* refactor readme

* update benchmark readme

* refactor quant linear for bisect

* update tvm submodule

* fix blockIdx related

* update bitditiller related.

* update zero type related test

* implement zero types support

* implement zero types support

* fix lop3 permuteta issue.

* fix weight executor bug.

* improve typing

* resolve performance related items

* add implementation for dequantization with dynamic symbolic

* fix ladder transform related issues.

* improve ladder permutation for dequantization

* enhance dynamic symbolic for matmul_impl

* improve support for dynamic symbolic

* update tvm dependency

* implement operator cache.

* refactor print to logging

* append setup.py and remove tvm pythonpath dependency.

* update ignore

* improve installation scripts

* update scaling benchmark of 1bit

* int8xint1 lop3 support.

* replace with to_torch_func

* license related fix

* update contributing.md

* autogptq support.

* refactor docs

* refactor

* refactor docs

* typo fix

* implement disk cache

* refactor codegen to get_source

* support get weight shape.

* Update dependabot.yml

* Update dependabot.yml

* Update dependabot.yml

* Update dependabot.yml

* Update dependabot.yml

* Update requirements.txt

* Update requirements.txt

* Update requirements.txt

* refactor propagate into transform kind

* Update dependabot.yml

* implement scale and zero layout propagation

* typo fix

* refactor codes

* fix performance issue of dequantize propagate

* refactor print

* fix gemv scale bugs

* refactor ops configs

* improve tensor_adapter

* implement trick wrapper for integration

* code refactor

* SUPPORT.md commit

* spell check

* improve for linting

* overal lint improvements

* Add copyright and license information

* improve contributing

* Fix PYTHONPATH export in installation script and update BitBLAS package

* Update benchmark section in README.md

* Update performance benchmarks and integration details

* Fix typo in README.md

* Refactor index map logging in matmul_analysis.py

* Add .ruff_cache to .gitignore

* Add _tir_u32_to_f4_to_f16 function to quantization module

* Update performance benchmark images

* Update benchmark configurations

* Update benchmark information in README.md

* Refactor code for improved performance and readability

* convolution impl support

* Refactor convolution2d_impl.py and test_auto_normalized_tensorcore.py

* Fix code formatting and remove unnecessary code

* Update TensorCore GEMM Performance Comparison

* Update TensorCore GEMM performance comparison on A100 and RTX4090

* Refactor propagate_inputs method in TensorCorePolicy

* Fix BitBLAS import and remove debug print statements

* Add end-to-end integration with Quantize Inference Kernel for AutoGPTQ and vLLM

* Fix import order and handle exception in benchmark scripts

* Update TVM subproject commit

* Update TileDevice class names in bitblas package

* Update imports in roller module

* Update images

* Update images

* Update end2end_llama_13b_vllm.png

* Update trademark and acknowledgement section

* Update benchmark images for consistent GEMM operations

* Add test case for decoding UInt4 to Float16 with scaling and zeros quantized

* Remove benchmarking code for int4 on a specific target

* Update image files and add new functions for quantization and rasterization

* fix rescale and original lop3.

* Add integration example of FasterTransformers with BitBLAS

* Update integration example of FasterTransformer with BitBLAS

* Update requirements-dev.txt and requirements.txt

* Add LLVM download and extraction functionality

* Update FasterTransformer.gif

* Update BitBLAS version and requirements

* Update BitBLAS import paths and add support for installing and developing TVM

* Add GPU intrinsics module for BitBLAS

* Update requirements-dev.txt and requirements.txt

* Refactor import paths in BitBLAS GPU modules

* Update installation guide in Installation.md

* Refactor MatmulConfig class in matmul.py for improved readability and maintainability

* Refactor MatmulConfig class in matmul.py for improved readability and maintainability

* Refactor MatmulConfig class in matmul.py for improved readability and maintainability

* Update installation guide and QuickStart link in README.md

* Update installation guide and QuickStart link in README.md

* Append Default Schedule Fallback

* Refactor requirements-dev.txt and fix newline issue in arch_base.py

* Fix typo in check_mit_license.sh

* imrpove the target detection.

* Improve target detection and fix typos in code

* Fix auto-inline spacing issue in MatmulTensorizationMMAWithDequantizeInfo class

* Improve target detection and fix typos in code

* transform to submit

* Add support for weight_dtype transformation in MatmulWeightOnlyDequantizeConfig

* Update zeros_type to zeros_mode in code blocks

* update README

* update README

* Fix import errors and update paths in code

* Update variable names in test_bitblas_linear.py and __init__.py

* Update imports and add new function in quantization and cache modules

* Update README with support matrix table

* Update support matrix table and benchmark configurations

* Update support matrix table and benchmark configurations

* Update support matrix table and benchmark configurations

* Update support matrix table and benchmark configurations

* Update support matrix table and benchmark configurations

* Update import statements and add new functions in quantization and cache modules

* Fix default dynamic range for M in MatmulConfig

* Update support matrix table with new tested platforms and Out_dtype column

* Refactor code for mixed-precision matrix multiplication and update support matrix table

* Refactor code for mixed-precision matrix multiplication and update support matrix table

* Update MatmulConfig initialization in QuickStart.md

* Update support matrix table with new tested platforms and INT32/FP16/INT8 support

* Refactor code for mixed-precision matrix multiplication and update support matrix table

* Update link to code implementation in QuickStart.md

* Disable tuning for initial bitblas operator creation

* Update linear transformation description in PythonAPI.md

* Update MatmulConfig in PythonAPI.md

* convert af format to nf

* Enable hardware-aware tuning for bitblas operators

* Refactor code for mixed-precision matrix multiplication and update support matrix table

* Update support matrix table with new tested platforms and INT32/FP16/INT8 support

* Update OperatorConfig.md with matrix multiplication configuration details

* code refactor

* Fix capitalization in QuickStart.md

* update ReadME

* Refactor setup.py to remove unnecessary code and improve readability

* refactor infeatures to infeatures

* update README.md

* Fix incorrect data type mapping in general_matmul.py

* update doc

* Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py

* uncomments some case

* Add BITBLAS_DATABASE_PATH constant to OperatorCache and update load_global_ops_cache function

* Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py

* Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py

* Update dependencies in requirements-dev.txt and requirements.txt

* Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py

* Fix BITBLAS_DATABASE_PATH constant assignment in OperatorCache

* Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py

* Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py

* update install

* Refactor variable names in setup.py and build_tvm function

* append linear benchmark scripts

* simple bug fix

* Update BitBLAS installation instructions for Ubuntu 20.04

* Refactor variable names and add output print statements for debugging

* Refactor variable names and update dependencies

* Update BitBLAS installation instructions for Ubuntu 20.04 and add note about Linux support

* Refactor logging handler and set log level in BitBLAS module

* Bump version to 0.0.1

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Lingxiao Ma <[email protected]>