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70d57ca8b96bfdfd8d2da0648750d8465fe484ff
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567 Commits

Author SHA1 Message Date
Ville Pietilä
70d57ca8b9 Remove separate packed cast step. 2025-09-03 10:57:16 +00:00
Ville Pietilä
d56d7bc821 Use fused packed cats. 2025-09-02 12:00:21 +00:00
Ville Pietilä
d22ec6633a Fused packed cast improvements. 2025-09-01 14:57:42 +00:00
Ville Pietilä
c69539fe3c Optimize LDS write order for packed cast. 2025-08-28 15:01:55 +00:00
Ville Pietilä
9f66d9fbca Packed cast improvement. 2025-08-27 14:32:00 +00:00
Ville Pietilä
b82e68c45f Bug fix. 2025-08-27 14:30:13 +00:00
Ville Pietilä
f1a7cfba26 Packed cast imrovement. 2025-08-27 14:23:05 +00:00
Ville Pietilä
90b90dff08 Vectorized packed cast. 2025-08-27 13:29:38 +00:00
Ville Pietilä
54302c6f77 Remove obsolete version of the packed cast. 2025-08-27 11:28:55 +00:00
Ville Pietilä
481df169f2 Add packed cast to gridwise gemm multi d. 2025-08-27 11:27:03 +00:00
Ville Pietilä
6092643e9b Performat packed cast implementation. 2025-08-27 10:10:18 +00:00
Ville Pietilä
cfbd669455 WIP: Vectorized access. 2025-08-26 12:43:38 +00:00
Ville Pietilä
2302ea9bc6 Add the vectorized option for packed cast. 2025-08-26 12:31:01 +00:00
Ville Pietilä
905cfb6623 Use thread scratch buffer in bf16 conversion. 2025-08-26 09:33:50 +00:00
Ville Pietilä
1b858936cb WIP: Packed cast using threadwise sratch. 2025-08-25 15:31:50 +00:00
Ville Pietilä
4e7f9f7908 Fix packed cast tensor slice transfer. 2025-08-22 10:26:59 +00:00
Ville Pietilä
de93a48b04 Add back the separate packed cast step. 2025-08-20 11:31:07 +00:00
Ville Pietilä
6fbe1895f1 Code clean-up. 2025-08-20 08:19:13 +00:00
Ville Pietilä
0d34572f20 Code clean-up. 2025-08-19 18:37:01 +00:00
Ville Pietilä
c0b8f66674 Add packed cast pipeline into gridwise gemm xdlops bwd weight. 2025-08-18 06:10:14 +00:00
Ville Pietilä
00a3ce734a Integrate new packed cast threadwise tensor slice transfer into gridwise gemm pipelines. 2025-08-15 12:06:44 +00:00
Ville Pietilä
51af3d7bac Fix a bug in the packed cast threadwise transfer. 2025-08-15 10:41:06 +00:00
Ville Pietilä
62c66a7d9c WIP: packed bf16 cast v3. 2025-08-14 12:39:18 +00:00
Ville Pietilä
938ff298b4 Add more unit tests. 2025-08-14 11:33:02 +00:00
Ville Pietilä
ade741dd45 WIP: PackedCast v3. 2025-08-13 15:13:35 +00:00
Ville Pietilä
50e318e072 Fix logging. 2025-08-12 15:53:00 +00:00
Ville Pietilä
ae4c727bc5 Add packed bf16 cast for universal GEMM. 2025-08-12 15:52:49 +00:00
Ville Pietilä
cee7644c85 Working version 2 of the packed cast. 2025-08-12 12:46:01 +00:00
Ville Pietilä
6148d1c75f WIP: Packed cast v2. 2025-08-11 15:18:30 +00:00
Ville Pietilä
c675563468 Addlogging and specific unit tests for bf16 and gfx950. 2025-08-08 08:59:12 +00:00
Ville Pietilä
4b8a559da9 Fixed packed_cast implementation for slice access. 2025-08-06 11:04:29 +00:00
Ville Pietilä
44202b9d32 WIP: Integration of packed cast into gridwise_gemm_xdl_cshuffle_conv_v3. 2025-08-05 15:12:36 +00:00
Ville Pietilä
e92c0bf68e Initial integaration of packed cast. 2025-08-04 15:34:35 +00:00
Ville Pietilä
9769fa68a7 Packed BF16 cast with asm volatile. 2025-08-01 13:22:41 +00:00
Ville Pietilä
e962a41638 Automatic deduction of split-K value for grouped convolution (#2491) 
* Split-K autodeduction for DeviceGroupedConvBwdWeight_Xdl_CShuffle and DeviceGroupedConvBwdWeight_Xdl_CShuffleV3.

* Split-K autodeduction for DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle.

* Use simple best occupancy model to calculate the split-K.

* Handle split-K autodeduction in explicit gemm conv.

* Add unit tests for split-K autodeduction.

* Remove oversubscription.

* Small fixes.

* Added split-K autodeduction for DeviceGroupedConvBwdWeightMultipleD_Xdl_CShuffle.

* Run clang formatting.

* Fix error handling in the conv profiler.

* Add missing documentation for the autodeducted split-K values.

* Add split-K autodeduction to DeviceGroupedConvBwdWeight_Explicit_Xdl solver.

* Fix clang formatting and split-K profiler documentation.

* Rename max_occupancy value variable.

* Calculate grid size for split-K autodeduction directly from input array shapes and template params.

---------

Co-authored-by: Ville Pietilä <>
 2025-07-31 12:08:45 +02:00
Bartłomiej Kocot
5b244105d9 Enable multiple D for grouped conv fwd large tensors (#2572) 2025-07-28 22:39:07 +02:00
linqunAMD
0782ee8eb3 Remove !defined(__HIP_DEVICE_COMPILE__) in CK kernel (#2564) 
* Remove HIP_COMPILE_DEVICE

* add missing files

* fix clang format

---------

Co-authored-by: Lin, Qun <Quentin.Lin+amdeng@amd.com>
 2025-07-28 13:01:07 -07:00
Illia Silin
504b101da3 upgrade from clang-format-12 to clang-format-18 (#2568) 
* upgrade to clang-format-18

* update to clang-format-18 in pre-commit-config
 2025-07-28 11:34:07 -07:00
Adam Osewski
c8eb2f995c Add v3 support for Groupd fwd conv+bias+clamp & ckProfiler (#2463) 
* Add logging to IsSupported.

* Less casting in AddClamp

* Conv+bias+clamp instances & profiler BF16

* Fix 3D instances & run just 1x for verification.

* :Run just once for verification conv fwd.

* ckProfiler conv fwd clampwq

* Remove exec bit & formatting

* Add support for MultiD for grouped conv fwd v3.

* Enable 2Lds.

* clean

* align instances

* align instances

* profiler fixes

* Fixes

* fix

* fix

---------

Co-authored-by: Adam Osewski <root@quanta-ccs-aus-f01-19.cs-aus.dcgpu>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
 2025-07-25 10:34:31 +02:00
Enrico Degregori
b01a27ff22 Support b_scale: (#2350) 
- extend pipeline v1 and v3
 - add instances
 - add tests
 - add example

Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
 2025-07-24 18:49:58 -07:00
Mingtao Gu
0198257d79 [CK] Fixed MPerBlock=32 build issue for MXFP4 GEMM decode (#2512) 
* added MPerBlock=32 for MXFP4 GEMM decode

* added two instance for M>128 scenario.

* added 1 instance

* format

---------

Co-authored-by: mtgu0705 <mtgu@amd.com>
Co-authored-by: felix <felix.li@amd.com>
 2025-07-18 14:35:54 +08:00
linqunAMD
fbd9f32abe [CK][CONV] Support NCHW in class DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1 (#2459) 
1. Port NCHW support from ConvFwd (#2375) to conv bwd data
2. Add new instance device_grouped_conv_bwd_data_xdl_f16_nchw_instances for nchw

Co-authored-by: azhuang <anzhong.huang@amd.com>
 2025-07-17 08:19:57 +08:00
Illia Silin
a4bf78ac0e replace obsolete warpSize system variable with the new one (#2496) 2025-07-16 07:39:15 -07:00
huaiguxu
c1badfd30c Handle moe_fp8 no-mainloop cases. Supprese no-mainloop check (#2438) 
Co-authored-by: felix <felix.li@amd.com>
 2025-07-16 15:44:34 +08:00
Andriy Roshchenko
054f85ab7c MX GEMM - FP6 Example (#2419) 
Adds support for MX FP6 data type in MX GEMM block pipeline version v1.
Provides an example of MX FP6 GEMM algorithm.

---------

Co-authored-by: OscarXu <huaiguxu@amd.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: mtgu0705 <mtgu@amd.com>
Co-authored-by: Your Name <you@example.com>
Co-authored-by: lalala-sh <Jiaxing.Wen@amd.com>
Co-authored-by: valarLip <340077269@qq.com>
Co-authored-by: Ding, Yi <yi.ding@amd.com>
Co-authored-by: feifei14119 <feiw@amd.com>
Co-authored-by: Lin, Qun <qlin@amd.com>
Co-authored-by: joye <joye@amd.com>
 2025-07-07 10:33:26 -06:00
Mingtao Gu
7998ae8969 [CK] Mxfp4 moe blockscale buf2lds version support (#2455) 
* change cshuffle size

* added mxfp4 moe async buffer loading without B preshuffle

* added mx moe B shuffling + scale shuffling (async loads)

* minor fix

---------

Co-authored-by: mtgu0705 <mtgu@amd.com>
 2025-07-06 15:42:00 +08:00
Adam Osewski
3d70c638d1 Always force output clearing for grouped conv bwd data (#2446) 
* Always force output clearing

* dont run set zero for residual

---------

Co-authored-by: Bartlomiej Kocot <barkocot@amd.com>
 2025-07-04 07:49:52 -06:00
Vidyasagar Ananthan
2e971eff90 Removing reference to undefined parameter for ignore statement. (#2447) 2025-07-03 20:10:29 -07:00
damien-lejeune
1183824573 Fix clang in ck develop branch (#2445) 
Co-authored-by: Damien Lejeune <damien.lejeune@amd.com>
 2025-07-02 10:07:47 -06:00
chenjun
74a34e0f50 fix KPerBlock = 64 a8w8 bpreshulle gemm build fail in gfx950 (#2437) 
Co-authored-by: valarLip <340077269@qq.com>
 2025-07-02 19:12:07 +08:00