* Handle MNK Sm90{Row, Col}Reduction problem shapes (NVIDIA#1803)

* add is_last_tile

* Improve sm90 mixed dtype kernel (NVIDIA#1883)

* Add GMMA shape m64n40k16 (NVIDIA#1864)

* Add all supported GMMA shapes (NVIDIA#1890)

* add maximum support (NVIDIA#1833)

* fix typo (NVIDIA#1853)

* fix by adding public (NVIDIA#1753)

* added mapping for bf16 to torch::kBFloat16 (NVIDIA#1843)

Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>

* Fix README (NVIDIA#1658)

* Fix README

* Improve README

---------

Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>

* Adjusting code indentation (NVIDIA#1639)

* Include of regular_tile_iterator.h fixed for NVRTC (NVIDIA#1765)

* Include of regular_tile_iterator.h fixed for NVRTC

* More include fixed for NVRTC

* Update gemm_f16n_f16t_f32t_tensor_op_f32_sm80.cu with include "cutlass/gemm/device/gemm_universal.h" (NVIDIA#1569)

fix compile with `cmake .. -DCUTLASS_ENABLE_TESTS=ON -DCUTLASS_TEST_LEVEL=2`

* remove redundant hardcoded packing configs in mixed dtype gemm (NVIDIA#1894)

Co-authored-by: Siyuan Fu <siyuanf@nvidia.com>

* fix wrong A/BLayout in MMA_Traits for binary mma and append other MMA_Traits support  (NVIDIA#1856)

* fix wrong A/BLayout in  MMA_Traits<SM80_16x8x256_S32U1U1S32_TN_XORPOPC> and append support for  m8n8k128, m16n8k128  mma.and.popc in MMA_Traits instantiation

* add "print" template for  subbyte_reference<T>

* Add a print for the uint{x}b_t type. (NVIDIA#1871)

* Refactor some GroupedGEMM logic (NVIDIA#1899)

* feat: support kFactor 8 used in mma tensor op tile iterator (NVIDIA#1512)

* Update publications (NVIDIA#1912)

* remove restriction of stride == kernel in nhwc_pooling (NVIDIA#1896)

* fix undefined in device code error (NVIDIA#1880)

* Fix the racing condition of mixed-input gemm when writing the registers (NVIDIA#1931)

* move two warpgroup_wait

* merge main

---------

Co-authored-by: Siyuan Fu <siyuanf@nvidia.com>

* Fix `cutlass` python library with cuda `12.6.2.post1` (NVIDIA#1942)

* Fix `cutlass` python library with cuda `12.6.2.post1`

Previously we had this error:
```
  File "/storage/home/cutlass/python/cutlass/backend/operation.py", line 39, in <listcomp>
    _version_splits = [int(x) for x in __version__.split("rc")[0].split(".")]
                       ^^^^^^
ValueError: invalid literal for int() with base 10: 'post1'
```

* Update sm90_utils.py

* Update generator.py

* Update python/cutlass_library/generator.py

Co-authored-by: Jack Kosaian <jackkosaian@gmail.com>

* Update python/cutlass_library/sm90_utils.py

Co-authored-by: Jack Kosaian <jackkosaian@gmail.com>

---------

Co-authored-by: Jack Kosaian <jackkosaian@gmail.com>

* add {uint4, uint2, int2} => {fp16, bf16} conversion (NVIDIA#1966)

* Improve mixed dtype GEMM (NVIDIA#1972)

* update

* fix a typo

* fix a typo that fails the compiling when ElementScale is not the same as MmaType (NVIDIA#1977)

* Fix CuTe README Typo (NVIDIA#1951)

* Fix Typo (NVIDIA#1962)

* 3.6.0 update (NVIDIA#2005)

* 3.6.0 update

* doc and swap stuff

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* Update CHANGELOG.md

* Update 0x_gemm_tutorial.md (NVIDIA#1982)

Shouldn't this be BLK_M, BLK_**K**, k

* fix bug: arch/mma_sm60.h Mma<2,2,1> calculate wrong (NVIDIA#1989)

* fix mem fence (NVIDIA#2030)

Co-authored-by: yuzhai <yuzhai@nvidia.com>

* Add half->int8 saturate conversion to promise valid range (NVIDIA#1983)

* Add half->int8 saturate conversion to promise valid range

* add gpu only macro

---------

Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* Add vector-types back to platform.h (NVIDIA#2026)

* Fix typo in library_defaults.py (NVIDIA#2024)

* Fix Typos (NVIDIA#2021)

* Fix Typo

* Fix Typo

* Add Line Break (NVIDIA#2020)

* Blockwise Scaling for FP8 (NVIDIA#1932)

* F8 Blockwise Scaling

* two more NumProducerThreadEvents

---------

Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* fix assertion in integer_subbytes.h (NVIDIA#1961)

* CUTLASS 3.7 (NVIDIA#2045)

* CUTLASS 3.7

* clean up changelog

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* update 3.7 docs (NVIDIA#2051)

* update docs

* update docs

* update docs

* update docs

* update docs

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>

* CUTLASS 3.8 Release (NVIDIA#2059)

* CUTLASS 3.8 Release

* update

* Update README.md

* Revert "Update README.md"

This reverts commit b353e36.

* update

* update

---------

Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* fix cuda 12.6 issues (NVIDIA#2066)

* fix a readme broken link (NVIDIA#2069)

* Update README.md

* Groupwise scaling along M for FP8 gemm (NVIDIA#2037)

* FP8 groupwise scaling along M

* small updates

---------

Co-authored-by: zl <zl@deepseek.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* bugfix generic-k code in top-k with softmax (NVIDIA#1993)

* bugfix generic-k code in top-k with softmax

* Update include/cutlass/epilogue/fusion/sm90_visitor_topk_softmax.hpp

Co-authored-by: Ali Hassani <68103095+alihassanijr@users.noreply.github.com>

* Update examples/61_hopper_gemm_with_topk_and_softmax/61_hopper_gemm_with_topk_and_softmax.cu

Co-authored-by: Ali Hassani <68103095+alihassanijr@users.noreply.github.com>

---------

Co-authored-by: Ali Hassani <68103095+alihassanijr@users.noreply.github.com>

* [EVT] Add support for Row/Col broadcast PtrArray (NVIDIA#2033)

* Add group support to EVT row/col broadcast.

* small modifications

---------

Co-authored-by: Haicheng Wu <haichengw@nvidia.com>

* v3.8.0 update (NVIDIA#2082)

* 3.8 update

* fix Markus' name

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>

* [WA] Fix compiling errors

---------

Co-authored-by: Saagar Jha <saagar@saagarjha.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
Co-authored-by: Sergey Klevtsov <141879860+sklevtsov-nvidia@users.noreply.github.com>
Co-authored-by: Tri Dao <tridao@users.noreply.github.com>
Co-authored-by: Xinyu Yang <ltyxy@buaa.edu.cn>
Co-authored-by: sijialou <sijia.lou@intel.com>
Co-authored-by: Bogumil Sapinski Mobica <48835513+Bogumil-Sapinski-Mobica@users.noreply.github.com>
Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
Co-authored-by: Lei Mao <dukeleimao@gmail.com>
Co-authored-by: 103yiran <1039105206@qq.com>
Co-authored-by: MaxAkaAltmer <MaxAkaAltmer@yandex.ru>
Co-authored-by: 侯奇 <houqi1993@gmail.com>
Co-authored-by: Lain <28486541+IwakuraRein@users.noreply.github.com>
Co-authored-by: Siyuan Fu <siyuanf@nvidia.com>
Co-authored-by: Caleb_Du <59528230+CalebDu@users.noreply.github.com>
Co-authored-by: LiYu Lu <luliyucoordinate@outlook.com>
Co-authored-by: azhurkevich <101208641+azhurkevich@users.noreply.github.com>
Co-authored-by: chenwei <15601910741@163.com>
Co-authored-by: Wenlei Bao <142055114+wenlei-bao@users.noreply.github.com>
Co-authored-by: LiuQiang <thorneliu@gmail.com>
Co-authored-by: dan_the_3rd <43445237+danthe3rd@users.noreply.github.com>
Co-authored-by: Jack Kosaian <jackkosaian@gmail.com>
Co-authored-by: Yujia Zhai <yzhai015@ucr.edu>
Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Andrew O'Neill <foolusion@gmail.com>
Co-authored-by: Dongxu.Wang <wangdongxuking61@gmail.com>
Co-authored-by: ZZK <359521840@qq.com>
Co-authored-by: Driss Guessous <32754868+drisspg@users.noreply.github.com>
Co-authored-by: ZincCat <52513999+zinccat@users.noreply.github.com>
Co-authored-by: Manish Gupta <mgupta.iitr@gmail.com>
Co-authored-by: bobliao <codechaser@163.com>
Co-authored-by: mihir-awatramani <162148077+mihir-awatramani@users.noreply.github.com>
Co-authored-by: Liang <44948473+soundOfDestiny@users.noreply.github.com>
Co-authored-by: zl <zl@deepseek.com>
Co-authored-by: Tadej Ciglarič <tadej.c@gmail.com>
Co-authored-by: Ali Hassani <68103095+alihassanijr@users.noreply.github.com>
Co-authored-by: Josh Fromm <jwfromm@meta.com>

)

)

)