Commit Graph

115 Commits

Author SHA1 Message Date
6f55278121 bugfix generic-k code in top-k with softmax (#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>
2025-01-31 19:05:35 -05:00
3c28697b9f Groupwise scaling along M for FP8 gemm (#2037)
* FP8 groupwise scaling along M

* small updates

---------

Co-authored-by: zl <zl@deepseek.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2025-01-31 13:51:28 -05:00
389e493055 CUTLASS 3.8 Release (#2059)
* CUTLASS 3.8 Release

* update

* Update README.md

* Revert "Update README.md"

This reverts commit b353e36fe8.

* update

* update

---------

Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2025-01-25 02:44:06 -05:00
b78588d163 CUTLASS 3.7 (#2045)
* CUTLASS 3.7

* clean up changelog

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2025-01-18 09:53:07 -05:00
ef5620dd1d Blockwise Scaling for FP8 (#1932)
* F8 Blockwise Scaling

* two more NumProducerThreadEvents

---------

Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2025-01-09 11:22:09 -05:00
52b35e90ce Fix Typos (#2021)
* Fix Typo

* Fix Typo
2025-01-08 23:46:28 -05:00
3d261a5974 3.6.0 update (#2005)
* 3.6.0 update

* doc and swap stuff

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2024-12-25 01:34:40 -05:00
4c42f73fda Improve mixed dtype GEMM (#1972)
* update

* fix a typo
2024-12-06 13:33:22 -05:00
8aa95dbb88 Fix the racing condition of mixed-input gemm when writing the registers (#1931)
* move two warpgroup_wait

* merge main

---------

Co-authored-by: Siyuan Fu <siyuanf@nvidia.com>
2024-11-08 13:15:54 -05:00
08101d9d0c Improve sm90 mixed dtype kernel (#1883) 2024-10-17 20:06:38 -04:00
cc3c29a81a CUTLASS 3.6.0 (#1850)
* v3.6

* update changelog

* update readme

* fix typo

* fixing typos

* hopper gemm with weight prefetch

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2024-10-09 15:33:27 -04:00
dbdae514e0 Support for TMA Epilogue for Group Gemm and add pingpong ptr array & Group Gemm (#1795) 2024-09-11 00:07:31 -04:00
be60a0b272 CUTLASS 3.5.1 (#1623)
* CUTLASS 3.5.1

* updates, optimizations, fixes
2024-07-29 08:46:24 -04:00
843adf0408 Fix SMEM index for C in CuTe examples (#1477) 2024-07-10 11:14:15 -04:00
7d49e6c7e2 Updates for CUTLASS 3.5.0 (#1468) 2024-04-11 21:33:40 -04:00
629f4653c3 CUTLASS 3.5.0 (#1411) 2024-03-19 17:51:04 -04:00
bbe579a9e3 Updates for CUTLASS 3.4.1 (#1346)
* Updates for CUTLASS 3.4.1

* minor epi change
2024-02-15 15:48:34 -05:00
6e3df975a2 Modify comments in code examples/08_turing_tensorop_gemm/turing_tensorop_gemm.cu (#1325) 2024-01-31 21:41:30 -05:00
751eb9a885 Update license year (#1306) 2024-01-16 14:37:22 -05:00
2f589ffa76 Updates for 3.4 release. (#1305) 2024-01-16 13:42:51 -05:00
acba5beee5 Fix flops calculation and tensor b stride calculation in the example 36 (#1278)
* Fix flops calculation and tensor b stride calculation in the example 36

* Fix datatype

* Update gather_scatter_fusion.cu
2024-01-08 17:27:30 -05:00
c9591a694d fix typo (#1279) 2024-01-04 12:41:39 -05:00
5c756eb774 Add support for sparse GEMM with visitor epilogue (#1189)
* Add support for sparse GEMM with visitor epilogue

* Refactor changes at the kernel level
2024-01-04 12:38:11 -05:00
8236f30675 CUTLASS 3.4.0 (#1286)
* CUTLASS 3.4.0

* Update CHANGELOG.md

---------

Co-authored-by: Pradeep Ramani <prramani@nvidia.com>
2023-12-29 15:21:31 -05:00
e1483d5fa0 Collection of changes to fix clang build. (#1200)
* Remove unused variables

* Qualify calls to make_fragment_? from templated base class.

Fixes clang build error.

* Add missing `#include <cstdio>`

* Various changes to fix clang compile errors.

* More changes to fix clang build.

Remaining issues:

- `params` initializer of `CollectiveEpilogue`.
- `ops` initializer of `Sm90VisitorImplBase`.
- `__usAtomicCAS` needs to be added to clang upstream.

* Fix remaining clang build issues.

* Qualify `cute::rank()` calls.

* Qualify some more calls that are otherwise ambiguous between `cute` and `std` namespace.

* Double-escape special registers in inline asm.

* small change

---------

Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2023-12-08 14:42:12 -05:00
56fc3df03b Adding missing typename (#1191)
Fixes clang build failures.
2023-11-29 00:20:20 -05:00
8098336d51 Updates to Python interface for PyPI packaging (#1209)
* Updates

* Updates to notebooks
2023-11-28 13:52:12 -05:00
557be3ab0e Fix several typos (#1169)
Co-authored-by: isaacw <isaacw@nvidia.com>
2023-11-02 23:54:46 -04:00
c008b4aea8 CUTLASS 3.3.0 (#1167)
* Release 3.3.0

Adds support for mixed precision GEMMs On Hopper and Ampere
Adds support for < 16B aligned GEMMs on Hopper
Enhancements to EVT
Enhancements to Python interface
Enhancements to Sub-byte type handling in CuTe
Several other bug-fixes and performance improvements.

* minor doc update
2023-11-02 11:09:05 -04:00
90d3b0fb18 CUTLASS 3.2.1 (#1113)
* Updates for 3.2.1 release.

* Minor fix in gemm op profiler for raster order.

* Add scheduler mapping for raster order in the kernels.
2023-09-26 17:24:26 -04:00
8783c41851 Replace 0x1f with 0xffffffff in __shfl_sync (#1097)
This fixes compatibility with H100 and resolves #1094
2023-09-18 19:58:19 -04:00
6407bcdf0a fix matrix B indices (#1089) 2023-09-12 14:04:18 -04:00
a77b2c9cb8 style(examples): typo (#1080)
* Update ampere_tensorop_conv2dfprop.cu

learning cutlass, PR a typo.

* Update ampere_gemm_operand_reduction_fusion.cu
2023-09-11 10:13:22 -04:00
a88c41cf8d Updates for 3.2 release (#1065) 2023-08-25 23:05:46 -04:00
4575443d44 CUTLASS 3.2 (#1024)
* CUTLASS 3.2
2023-08-07 20:50:32 -04:00
146d314057 Update fMHA kernels (#992)
* Update fMHA kernels

Upstream recent changes to fMHA that we did in xFormers.
Previous version in CUTLASS: facebookresearch/xformers@b6be33a
Updating to: facebookresearch/xformers@55a4798

* minor changes

* make var work

---------

Co-authored-by: danthe3rd <danthe3rd>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2023-07-12 22:30:46 -04:00
87349d3496 Add grouped b2b GEMM (#970) 2023-06-05 17:16:57 -04:00
f079619f5e More updates for 3.1 (#958)
* Updates for 3.1

* Minor change

* doc link fix

* Minor updates
2023-05-24 10:17:16 -04:00
13f413493a Stream-K with broadcast (#892)
* [WIP] GEMM StreamK w/ Fused Epilogue

* Adds Gemm Streamk with Fused Epilogue kernel level struct.
  * Mostly based on Gemm with Fused Epilogue,
  * Requires a new epilogue
  * Work in progress

* [WIP] StreamK support for GemmUniversalWithBroadcast

* Just based off of how StreamK is allowed in GemmUniversal
  * Untested and a work in progress

* Minor fixes

* [WIP] It compiles!

It is almost certainly incorrect, but we're past getting the templates
to match, so checkpointing.

* Correction to reference kernel

* Fix typo

* Added MSE measurement

* Switch back to reference kernel + host for loop

Still WIP. Now we're getting even a larger MSE, but it's both on
basic Split-K and Stream-K.

* Fix typos

* Fix broadcast vector + requested changes

* Comment typo

* Small int option and more

* Fix incorrect condition on source needed

* Requested changes

* I think I got it?

* Bias vector should be stride 0

* Two source added!

* Typos

* Merge examples

* Bring back vector row offset

Just to ensure consistency with universal gemm with fused epilogue

* Base arguments and params structs for StreamK

* StreamK epilogue with broadcast now inherits the original

* undo params_streamk_base.h

---------

Co-authored-by: Ali Hassani <ahassanijr@gmail.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2023-05-22 19:05:06 -04:00
7c04f95415 Updates for 3.1 (#932) 2023-04-29 09:34:27 -04:00
e36912f961 Fix for dangling references in the MHA example (#918) 2023-04-19 21:35:46 -04:00
4a68cf748e added support of b2b bmm (#849)
* added support of b2b bmm

* fixed arguments and params structures

* added batch_count argument

* removed SplitKSerial and added new test case with b2b bmm

* fixed support of Kbatched and added new test case with batch stride

* added batch support for bias and scale

* make test

* small changes

---------

Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2023-04-14 23:20:02 -04:00
d572cc1aab CUTLASS 3.1 (#915)
Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
2023-04-14 23:19:34 -04:00
9b8166e3f0 fMHA: Add backward pass (#844)
* fMHA: Add backward pass

* Better checks for strides/alignments

* Remove fb-internal URL

* torch.Tensor.untyped_storage requires pytorch 2.0+

* minor changes

* make test

---------

Co-authored-by: danthe3rd <danthe3rd>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2023-04-06 20:44:58 -04:00
2ba1ef10be Increase max dynamic SMEM size in GemmSoftmax (#903) 2023-04-03 10:01:12 -04:00
15d9d31f1f CUTLASS 3.0 Hopper GEMMs are GETTs in disguise (#897) 2023-03-29 10:42:40 -04:00
7e370c9637 Fix typos 2 (#842)
Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
2023-03-09 23:22:56 -05:00
f396cdd15c ex24[gemm_grouped]: Allow to change layout/dtype (#841)
* ex24[gemm_grouped]: Allow to change layout/dtype

* Address suggestion from @jackkosaian

---------

Co-authored-by: danthe3rd <danthe3rd>
2023-03-01 07:13:51 -05:00
f303889ed9 fMHA: Sync FW with xFormers (#828)
* fMHA: Add support for bias+dropout in FW

* Remove 'getMaximumSharedMemoryPerBlockKb'

* fix comments

---------

Co-authored-by: danthe3rd <danthe3rd>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2023-02-22 23:25:31 -05:00
34bed24af3 Update helper.h
copyright banner
2023-02-16 16:50:04 -05:00