Commit Graph

690 Commits

Author SHA1 Message Date
kiefer
382d6fea6b Add D layout tests to IsSupportedArgument() 2025-08-29 08:22:42 +00:00
kiefer
68f9e73b5e Implement multi-AB support for grouped conv fwd and add example. 2025-08-28 13:12:40 +00:00
kiefer
73521fe091 Implement merged groups in device impl and add instances for merged groups 3D vanilla conv fwd 2025-08-27 08:02:51 +00:00
kiefer
ca7b3121cd Add int8 instances for 2D vanilla grouped conv fwd all layouts. 2025-08-26 12:16:41 +00:00
kiefer
e325dab094 Add instances for all 8-bit 3D vanilla grouped conv fwd types, including mixed types but with the exception of deprecated f16 comp fp8. Adapt test so we can test 8-bit and mixed types. 2025-08-26 09:20:38 +00:00
kiefer
6ad73cd0cd Add CTranspose optimization for NCHW cases just like in xdl cshuffle non-v3 device implementation. 2025-08-24 12:44:01 +00:00
kiefer
43f99d85bd Initial device implementation for grouped conv fwd multiABD wmma cshuffleV3. Functional but needs some fixups and extra features in the future. 2025-08-20 10:43:49 +00:00
kiefer
16920dee0f Add support for fwd conv in gridwise implementation. Identical to run function for bwd data. 2025-08-20 08:56:53 +00:00
Enrico Degregori
9b7cf3ef81 Fix bug in device print function 2025-08-06 14:03:55 +00:00
Enrico Degregori
9ee5699e50 multi_abd wmma support:
- Add multiple A and B support to multiple D implementation (gridwise level)
 - Add multi_abd GEMM (device level)
 - Add instances (xdl parity)
 - Add tests (both xdl and wmma)
 - Add examples
 - Add ckProfiler support (both xdl and wmma)
2025-08-06 13:54:56 +00:00
kiefer
c434378570 clang-format-18 2025-08-06 11:53:43 +00:00
Kiefer van Teutem
ec382804a9 Merge remote-tracking branch 'origin/develop' into 90-prepare-an-upstream-pr-for-multipled-based-gemms 2025-08-06 07:47:43 +00:00
Enrico Degregori
2203b0ddfe Add padding to 1x1Stride1Pad0 conv specialization (grouped conv bwd weight) (#2610)
* Add padding 1x1Stride1Pad0 conv specialization

* Add gridwise checks for conv cshufflev3

* Merge padding with previous transforms

* Apply transform changes for padding to default specialization as well

---------

Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
2025-08-05 15:23:19 +02:00
Enrico Degregori
02cb1f2b6a Fix bug from merge 2025-08-04 08:37:40 +00:00
Illia Silin
788e8a878e update the switch condition for buffer built-ins (#2602) 2025-08-01 14:30:07 -07:00
lalala-sh
bb5c478295 fix weight index out of range (#2414) 2025-08-01 17:50:02 +08:00
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
Enrico Degregori
5dc21c5521 Merge branch 'develop' into feature/multiple-d-gemms 2025-07-28 17:18:18 +00:00
Bartłomiej Kocot
685771b875 Enable bf16 RNE on gfx950 (#2542)
* Enable bf16 RNE for gfx950

* test bhalf

* fix

* fix

* Comments fixes

* fixes

* clean

* fix
2025-07-28 00:47:17 +02:00
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
Illia Silin
9c04a55626 remove repetitive code (#2562) 2025-07-24 14:52:46 -07:00
Andriy Roshchenko
3421272f90 MX GEMM - FP6 Support in GEMM MX v3 Pipeline (#2481)
* Add GEMM MX BF6 example

* Fix BF6 type_convert

* Add type_convert for bf16x6

* Add compare operator to f4x2_pk_t

* Update README for 67_gemm_microscaling

* Fix host tensor initialization with integer values for FP8
2025-07-24 14:36:53 -04:00
Rostyslav Geyyer
c9886109b4 Update packed fp4 layout (#2523) 2025-07-21 16:58:59 -05:00
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
linqunAMD
6e76b82059 Fix build errors on windows (#2456)
* Fix build errors on windows

* correct clang format

---------

Co-authored-by: Lin, Qun <Quentin.Lin+amdeng@amd.com>
2025-07-16 07:58:23 -07:00
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
Apoorva Kalyani
036799d631 Merge branch '61-add-examples-for-bf16-and-fp16-instances-of-gemm_add-for-v1-and-v3-for-rdna4' into 'feature/multiple-d-gemms'
Resolve "Add Examples for bf16 and fp16 instances of gemm_add xdl and  wmma for v1 and v3 for RDNA4"

See merge request amd/ai/composable_kernel!24
2025-07-14 11:46:08 +00:00
Andriy Roshchenko
518dc21ae8 MX GEMM - FP6 Support in GEMM MX v3 Pipeline (#2481)
* Add GEMM MX BF6 example

* Fix BF6 type_convert

* Add type_convert for bf16x6

* Add compare operator to f4x2_pk_t

* Update README for 67_gemm_microscaling

* Fix host tensor initialization with integer values for FP8
2025-07-11 13:07:05 -06:00
Illia Silin
1b66f3f4a3 Add declarations for atomic add for fp16 and unsigned short. (#2483)
* add template for fp16 atomic add

* add template for unsigned short atomic add

* use atomicCAS in atomic add for fp16 and unsigned short

* revrt back to atomic add using casting
2025-07-10 07:18:56 -07:00
Zoltan Lakatos
a7993abd4b comments on the atomics workaround 2025-07-10 08:43:32 +00:00
Illia Silin
93420ecf89 Revert "Add templates for fp16 and unsigned short atomic add to fix FBGEMM bu…" (#2474)
This reverts commit 112b47e885.
2025-07-08 19:01:26 -07:00
Illia Silin
112b47e885 Add templates for fp16 and unsigned short atomic add to fix FBGEMM builds. (#2471)
* add template for fp16 atomic add

* add template for unsigned short atomic add

* use atomicCAS in atomic add for fp16 and unsigned short
2025-07-08 18:09:30 -04:00
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
apoorva
8a5bb256f7 Fixes applied to fix the precision loss. 2025-07-07 09:41:00 +00:00
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
Gino Lu
60eb70f543 Fix return value bug that drops minus sign in some cases. (#2415)
* fix return value bug.

* refine change according to comment.
2025-07-02 14:53:00 +08:00
Zoltan Lakatos
ff31873a19 addressed core review comments 2025-07-01 12:47:39 +00:00
huaiguxu
e1c5172fdb Huaiguxu/moe fp8 pertoken scale fix (#2391)
* fix pertoken_scale a_scale dimension

* clang-format

* Fix moe_gemm2_fp8 perTokenScale reference and example.
2025-06-27 10:24:34 +08:00
linqunAMD
1749c0409e [CK][CONV] Support NCHW in class DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle (#2375)
1. When conv spec is 1x1 stride1 pad0, nchw is equal with matrix A + column major, we only need minor change in conv transformer to support it.
2. when out is NKHW, it is equal with matrix C with column major. we need swap A & B to get best performance.
3. Add new instance device_grouped_conv_fwd_xdl_f16_nchw_instances for nchw.
2025-06-26 08:32:39 +08:00
Rostyslav Geyyer
daf71fb8e4 Enable fp4 tests (#2329) 2025-06-25 07:38:54 -05:00