coderfeli
b6fbe4f7fe
debug block v3
2025-02-20 07:05:48 +00:00
coderfeli
d5e395918e
v3 build ok
2025-02-20 04:03:37 +00:00
mtgu0705
966f9051c7
fixed merge issue. fp8xint4 and fp8xint4_bpreshuffle function pass.
2025-02-18 13:54:15 +08:00
mtgu0705
fba3d780f2
fix bug, function now passes.
2025-02-18 13:25:18 +08:00
mtgu0705
c0ef46ff14
move b thread dequant copy to blockwise.
2025-02-18 13:25:06 +08:00
mtgu0705
bee790ec5d
init b preshuffle dequant in VGPR.
2025-02-18 13:22:16 +08:00
mtgu0705
9a3f75eeb8
fp8xint4 bpreshuffle function pass
2025-02-18 13:21:36 +08:00
coderfeli
7572a6916c
merge develop
2025-02-15 03:23:00 +00:00
coderfeli
418baed327
moe gemm1 scaleready
2025-02-12 05:19:01 +00:00
coderfeli
b02c0b8257
gemm1 scale debug
2025-02-11 14:52:01 +00:00
coderfeli
e4ca61f9e7
moe gemm2 scales ok
2025-02-11 12:01:39 +00:00
coderfeli
66d08ea327
impl topk weight scatter
2025-02-11 07:43:59 +00:00
coderfeli
a8a82e0cfc
fix warnings and impl scale for gemm2, build ok
2025-02-11 01:54:08 +00:00
coderfeli
e21f36fc24
moegemm2 ok
2025-02-09 13:44:42 +00:00
coderfeli
48d87d9c66
a 16x16 ok
2025-02-07 11:41:09 +00:00
coderfeli
965c9f0c17
debug 16x16 load
2025-02-07 08:17:33 +00:00
coderfeli
83970cbe6c
fix hack in oob
2025-02-07 02:19:36 +00:00
coderfeli
f9abcf80e8
use offsets in transfer ok
2025-02-07 01:54:12 +00:00
coderfeli
00627feda4
results ok
2025-02-04 03:05:17 +00:00
arai713
2e3183af4f
Codegen hipRTC compilation ( #1579 )
...
* updating codegen build for MIOpen access: adding .cmake for codegen component
* updating CMake
* adding in header guards for some headers due to issues with hiprtc compilation in MIOpen
* some more header guards
* putting env file in header guard
* cleaning up some includes
* updated types file for hiprtc purposes
* fixed types file: bit-wise/memcpy issue
* updating multiple utility files to deal with standard header inclusion for hiprtc
* added some more header guards in the utility files, replacing some standard header functionality
* added some more header guards
* fixing some conflicts in utility files, another round of header guards
* fixing errors in data type file
* resolved conflict errors in a few utility files
* added header guards/replicated functionality in device files
* resolved issues with standard headers in device files: device_base and device_grouped_conv_fwd_multiple_abd
* resolved issues with standard headers in device files: device_base.hpp, device_grouped_conv_fwd_multiple_abd.hpp, device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp
* added header guards for gridwise gemm files: gridwise_gemm_multiple_abd_xdl_cshuffle.hpp and gridwise_gemm_multiple_d_xdl_cshuffle.hpp
* fixed issue with numerics header, removed from transform_conv_fwd_to_gemm and added to device_column_to_image_impl, device_grouped_conv_fwd_multiple_abd_xdl_cshuffle, device_grouped_conv_fwd_multiple_abd_xdl_cshuffle_v3, device_image_to_column_impl
* replaced standard header usage and added header guards in block to ctile map and gridwise_gemm_pipeline_selector
* resolved errors in device_gemm_xdl_splitk_c_shuffle files in regards to replacement of standard headers in previous commit
* added replicated functionality for standard header methods in utility files
* replaced standard header functionality in threadwise tensor slice transfer files and added header guards in element_wise_operation.hpp
* temp fix for namespace error in MIOpen
* remove standard header usage in codegen device op
* removed standard header usage in elementwise files, resolved namespace errors
* formatting fix
* changed codegen argument to ON for testing
* temporarily removing codegen compiler flag for testing purposes
* added codegen flag again, set default to ON
* set codegen flag default back to OFF
* replaced enable_if_t standard header usage in data_type.hpp
* added some debug prints to pinpoint issues in MIOpen
* added print outs to debug in MIOpen
* removed debug print outs from device op
* resolved stdexcept include error
* formatting fix
* adding includes to new fp8 file to resolve ck::enable_if_t errors
* made changes to amd_wave_read_first_lane
* updated functionality in type utility file
* fixed end of file issue
* resovled errors in type utility file, added functionality to array utility file
* fixed standard header usage replication in data_type file, resolves error with failing examples on navi3x
* formatting fix
* replaced standard header usage in amd_ck_fp8 file
* added include to random_gen file
* removed and replicated standard header usage from data_type and type_convert files for fp8 changes
* replicated standard unsigned integer types in random_gen
* resolved comments from review: put calls to reinterpret_cast for size_t in header guards
* updated/added copyright headers
* removed duplicate header
* fixed typo in header guard
* updated copyright headers
---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com >
2025-01-31 09:48:39 -08:00
Bartłomiej Kocot
fd46a01d8b
Grouped convolution backward weight special vector size loads ( #1772 )
...
* Grouped convolution backward weight special vector size loads
* Instnaces and tests
* Fixes
* Add 7 and 13 special cases
* fix comments
* Fix
* Fix2
* fixes
* fix atomic add bf16
2025-01-10 22:02:30 +08:00
Illia Silin
8ea375bb58
terminology clean-up ( #1792 )
2025-01-03 16:38:22 -08:00
Mingtao Gu
4f62f6e9b7
Implement the fp16xint4 scale weight only kernel for Ali ( #1786 )
...
* enable int4 scale (weight only) kernel
* format some files
* Add unit test for int4 weight only
* fixed and formatted code
* fixed
* formated
* formated
* fixed
* fixed a bug in the ckProfiler, and formatted the code
---------
Co-authored-by: mtgu0705 <mtgu@amd.com >
2025-01-03 18:35:21 +08:00
Adam Osewski
1d8e4ec2ce
Jing's contribution: prototype of mixed precision gemm FP16/BF16xint4 GEMM ( #1762 )
...
* add a prototype of int4
* clean
* debug
* clean
* clean
* move packed into dynamic_buffer
* fixed coord reset
* add fast pki4 to half conversion
* fix
* fixed reference and host_tensor
* fixed tensor init
* format
* debug i4_to_f16_convert
* format
* fixed splitk
* weight permute
* add b tile permute
* clean
* weight permute with splitki
* format
* improve weight layout
* add and_or_b32
* fixed splitk crush
* add permute switch as a template
* recover v3r1
* clean
* failure with intrawave v2
* fixed
* fixed
* add ckProfiler
* add bfp16 support
* add bf16 example
* fixed int4 to bhalf_t conversion
* format
* fixed int4 to bf16 conversion
* clean
* add instances for mem
* clean
* fixed host tensor size
* fixed
* debug
* fixed
* add pk_i4_t as a struct
* fix
* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* revert
* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* fixed comments
* revert
* clean
* revert
* revert
* fixed
* Update CMakeLists.txt
* Update script/cmake-ck-dev.sh
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* Update CMakeLists.txt
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com >
* fixed
* fixed
* fixed
* revert
* revert
* add comments
* format
* fixed assert
* fixed
* Fix I4 define in ckProfiler
* Fixed example_gemm_xdl_bf16_pk_i4_v3 test failed issue
---------
Co-authored-by: Jing Zhang <jizhan@fb.com >
Co-authored-by: zjing14 <zhangjing14@gmail.com >
Co-authored-by: mtgu0705 <mtgu@amd.com >
2025-01-02 11:48:06 +08:00
aska-0096
74ef5021b6
tempsave
2024-12-30 09:20:25 +00:00
coderfeli
e6f5a78b14
add double buffer scratch
2024-12-26 15:02:04 +00:00
coderfeli
3784329b68
can run
2024-12-26 13:01:07 +00:00
M.Emin Ozturk
8378855361
Moficiation to fix this issue "threadwise_tensor_slice_transfer_v5r1 issue #1279 " ( #1492 )
...
* issue fix, one line changed for tmp
* clang
---------
Co-authored-by: Emin Ozturk <emin.ozturk@utah.edu >
Co-authored-by: Harisankar Sadasivan <135730918+hsadasiv@users.noreply.github.com >
2024-09-04 21:52:55 -07:00
Illia Silin
941d1f7ce0
Merging the gfx12 code into public repo. ( #1362 )
2024-06-27 00:33:34 -07:00
zjing14
80db62f08d
add f8 gemm multiD with both row/col wise scale ( #1300 )
...
* add f8 gemm with multiD for both row/col wise
* change compute_type to fp8
* changed tuning parameters in the example
* add rcr example
2024-05-28 12:04:22 -05:00
zjing14
0d0150db20
bf16A_Int8B with fastgelu/bias ( #1264 )
...
* changed the copy function to v7r2
* adding multi_abd
* in-progress
* add post-load oob check
* debugging
* adjust instances
* add run_lds
* add elemntwise_op
* replace multi_abd_device with v3
* clean up
* clean
* clean
* Added LDSType
* profiling
* adjust oobcheck
* add missing file
* refactor
* clean
* add examples
2024-04-26 07:26:30 -05:00
zjing14
12865fbf28
Added Multi_ABD support into Gemm and GroupedGemmFixedNK ( #978 )
...
* added an example grouped_gemm_multi_abd
* fixed ci
* add setElementwiseOp
* changed API
* clean code: add multiA into example
* fixed v7r2 copy
* add transpose
* clean
* fixed vector_load check
* Update example/15_grouped_gemm/grouped_gemm_multi_abd_xdl_fixed_nk_bias_fp16.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update example/15_grouped_gemm/grouped_gemm_multi_abd_xdl_fixed_nk_bias_fp16.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update example/15_grouped_gemm/grouped_gemm_multi_abd_xdl_fixed_nk_bias_fp16.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd_fixed_nk.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/device/device_grouped_gemm_multi_abd_fixed_nk.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* add reduce
* testing
* add example_b16_i8
* refactor example
* clean
* add mpading
* disable reduce for kbatch = 1
* seperate reduce device op
* add reduce op
* add guard for workspace_size
* add instances
* format
* fixed
* add client example
* add a colmajor
* add instances
* Update cmake-ck-dev.sh
* Update profile_gemm_splitk.cpp
* Update gridwise_gemm_xdlops_v2r4r2.hpp
* format
* Update profile_gemm_splitk.cpp
* fixed
* fixed
* adjust test
* adjust precision loss
* adjust test
* fixed
* add bf16_i8 scale bias
* fixed scale
* fixed scale elementwise_op
* revert contraction deviceop changes
* fixed
* Add AddFastGelu
* Revert "Merge branch 'jizhan/gemm_splitk_reduce' into grouped_gemm_multi_abd_fixed_nk_example"
This reverts commit 3b5d001efd943199a991barkocot@amd.com >
* Update device_reduce_threadwise.hpp
* clean
* Fixes
* Fix example
---------
Co-authored-by: Jing Zhang <jizha@amd.com >
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
2024-04-15 21:09:45 -05:00
Haocong WANG
f83e9701e9
[GEMM] Gemm universal device operation ( #1154 )
...
* Optimize GEMM on MI200/300:
1. Add new blockwise gemm pipeline
2. Add irregular splitk intances
* clang format + typo fix
* Fix a bug
* initial commit
* Add more instances to irregular splitk
* blkgemm pipeline v1~4 prototype
* Sanity Checked. Known issue:
1. Poor performance of splitk
2. Register spill on blkgemmpipeline v3
* Sanity and Performance fix:
1. fix a bug related to sanity in grouped b2c mapping
2. fix a bug related to sanity and performance in splitk offset
* Sanity and API update:
1. Remove prefetch stage
2. Fix valid check bug
3, Add first gemm_universal instance into ckProfiler
* Add NN instances for gemm universal
* 1. Add NT instances for gemm_universal
2. Fix a bug about Kpadding in gemm_universal
* Fix a bug regarding padding Odd K number
* remove kernel print
* Fix KPadding bug...
* Update safety check
* another try to fix kpadding..
* Sanity checked
* new instances..
* clang format+typo fix
* remove clang format script's change
* Add non-hotloop compile option
* 1. Add fp16xfp8 example
2. pull packed convert f8 from pr1150
* Some miscs.. opt and fix
* Add pipeline description docs
* Split universal gemm instance library to cut profiler compiling time
* uncomment cmakefile
* Fix a bug caused by blockwise_gemm_pipe_v2
* reduce default splitk to 1
* Add 224x256x64 tile size
* update, including:
1. Experiment pipeline 5~7
2. Optimization for pipeline 4
3. Organized instance library
* temp save
* temp save
* Permuted lds layout, sanity and function checked
* clang format
* Move OOB check from RunRead to RunWrite, for better software pipeline.
TODO: agpr spill when NN layout
* clangformat
* A/B splitpipe scheduler for v3
* Fix two bugs
* bug fix
* fix a bug in oob check
* Example for mixed fp16_fp8 gemm
* Clean experimental code blocks
* Add mixed precision gemm into profiler
* tempsave
* optimize m/n major lds layout
* Add RRR GEMM mixed precision instances
* Optimize f8 matrix transpose
* Add test_gemm_universal
* A/B spilt schedule for blkpip v5
* Take ds_read2 into iglp scheduling scheme
* format
* fixed cmake
* Add llvm-option into CI cmake flag
---------
Co-authored-by: Jing Zhang <jizhan@amd.com >
2024-04-13 21:03:18 -05:00
Bartłomiej Kocot
9c052804a7
Add elementwise with dynamic vector dim ( #1198 )
...
* Add elementwise with dynamic vector dim
* Reduce number of instaces
* Fixes
* Fixes
2024-03-22 10:40:43 +01:00
zjing14
1837040a9c
Navi3 rel ( #1176 )
...
* wmma_op + unit test
* add arch limitation to wmma test
* change arch limitation
* Refactor + Add all type unit test(int4 compile failed)
* Add f32_16x16x16_bf16 unit test
* tempsave
* tempsave
* tempsave
* runtime bug, cannot find symbol
* workaround for incorrect HIP warpSize return value
* debugging
* tempsave
* Correctness OK, waiting for optimization
* Tidy up + format
* temp save
* temp save, reproduce the v_bfi_b32 issue
* add inline asm for wmmaop test
* tidy up
* clean some debug purpose code
* discard some codes
* clang format
* clang format
* compiler issue fixed + increase tile size
* navi3x_multipleD+example
* temp save
* workable
* batchedgemm[OK], groupconv[debug]
* groupconv: Sanity check[OK], Performance[Bad]
* navi3x_groupconv_need_optimization
* create necessary files
* save progress
* Add Inter-Row thread transfer
* save progress
* save debugging progress
* sanity check pass
* fix a host tensor bug and clean up flash-attn code
* format
* cancel unnecessary change
* cancel unnecessary change
* cancel unnecessary change
* temp save, add asm backend flag to amd_wmma
* Mat-A LDS Bypass sanity pass
* temp save
* gemm sanity fix
* Porting new blockwise gemm to flash attention
* Example branch provide to compiler team
* tempsave
* Fix a bug
* batched gemm ported
* conv A-skip lds ported
* Skip B-Lds real gemm
* Skip B Lds Gemm + MulD
* batched gemm, conv, skip b lds
* format
* Attn, skip b lds
* Change GridwiseOp nam
* fix a typo caused bug
* Skip A_Lds sanity pass, Skip B_Lds scratch occured
* Bug found, intra-row permute off caused
* bug found
* a fix
* disable buffer load due to incorrect 3rd dword
* update fmha config, no scratch generated
* update 3rd dword
* fmha config update
* FMHA, add support to gfx1101/gfx1102
* Merge origin dev (#2 )
* [Navi3x] Fix Gridwise_multiple_d operation (#649 )
* Add CMake Option "USE_OPT_NAVI3X"
* fix bug
* standardize docs (#655 )
* Separate bibtex requirement from rocm-docs-core (#656 )
* separate bibtex requirement from rocm-docs-core
* point requirements to source rocm-docs-core repo
* Add CMake Option "USE_OPT_NAVI3X" (#647 )
* Add CMake Option "USE_OPT_NAVI3X"
* remove navi3x opt compile option from cmake script
* Conv + quantization + tanh (#645 )
* Rename file. Prepare to support another activation
* Add comment for quantization
* Extract out_elementop
* Add tanh example
* Add conv + bias + tanh quantization instance
* Add missing parameter
* Refine cmake
* Add external api and client example
* Extract variable in example
* Fix the comment
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com >
* Add a denorm test fix (#603 )
* Add type_convert implementations for bf16
* Add the fix for conv_fwd
* Add the fix for conv_bwd_data
* Add the fix for conv_bwd_weight
* Format
* Format
* Another format
* Add a macro to use workaround on MI200 only
* Format
---------
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
Co-authored-by: zjing14 <zhangjing14@gmail.com >
* simplify karg in device/grid of split-k op (#644 )
* simplify karg in device/grid split-k op
* fix mk_kn_mn instances
* add more instances
* use name from tensor layout
* fix 3rd dword of buffer source descriptor (#659 )
* add fp64 instances (#658 )
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
* Issue #666 : Revert "simplify karg in device/grid of split-k op (#644 )" (#665 )
This reverts commit bb5530af91#668 )
* Rename to proper naming
* Add example of groupnorm + swish
* Extract duplicate code in example
* Add groupnorm + swish instances
* Ractor instance generation, split into multiple cpp file
* Add external api and client example
* Refine profiler message
* Use ck math version of exp
* Refine problem size in example
* Add host version of exp
* add a marco to turn on/off denorm fix (off by default) (#673 )
* add a marco to turn off denorm fix by default
* expose the marco
---------
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
* fixed quant example (#672 )
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
* Add dependabot config and pin rocm-docs-core (#663 )
* [gtest] suppress unsafe buffer warn (#670 )
ref: https://github.com/ROCmSoftwarePlatform/MIOpen/pull/1912
* Add memory index guard in wmma device ops (#667 )
* Add more macros to turn on/off denorm fix (#678 )
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
* Fix a typo (#676 )
* Add (#677 )
* Allow using ROCm release candidate compilers. (#679 )
* enable use of rocm5.5 release candidate 4
* upgrade to ROCM5.5 RC5
* try fix the PUB_KEY error, remove the cmake-data package
* upgrade to latest cmake version
* use private dockerhub repo for rocm5.5 rc5
* add missing bracket
* add vector load check
* solve conflicts
---------
Co-authored-by: Sam Wu <sjwu@ualberta.ca >
Co-authored-by: Sam Wu <sam.wu2@amd.com >
Co-authored-by: rocking5566 <ChunYu.Lai@amd.com >
Co-authored-by: zjing14 <zhangjing14@gmail.com >
Co-authored-by: Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com >
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
Co-authored-by: carlushuang <carlus.huang@amd.com >
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
Co-authored-by: Jun Liu <Liu.Jun@amd.com >
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com >
* Disable SkipLDS & Align AIT api (#3 )
* fix layernorm, reduction Ops (#4 )
* [Navi3x] Fix Gridwise_multiple_d operation (#649 )
* Add CMake Option "USE_OPT_NAVI3X"
* fix bug
* standardize docs (#655 )
* Separate bibtex requirement from rocm-docs-core (#656 )
* separate bibtex requirement from rocm-docs-core
* point requirements to source rocm-docs-core repo
* Add CMake Option "USE_OPT_NAVI3X" (#647 )
* Add CMake Option "USE_OPT_NAVI3X"
* remove navi3x opt compile option from cmake script
* Conv + quantization + tanh (#645 )
* Rename file. Prepare to support another activation
* Add comment for quantization
* Extract out_elementop
* Add tanh example
* Add conv + bias + tanh quantization instance
* Add missing parameter
* Refine cmake
* Add external api and client example
* Extract variable in example
* Fix the comment
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com >
* Add a denorm test fix (#603 )
* Add type_convert implementations for bf16
* Add the fix for conv_fwd
* Add the fix for conv_bwd_data
* Add the fix for conv_bwd_weight
* Format
* Format
* Another format
* Add a macro to use workaround on MI200 only
* Format
---------
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
Co-authored-by: zjing14 <zhangjing14@gmail.com >
* simplify karg in device/grid of split-k op (#644 )
* simplify karg in device/grid split-k op
* fix mk_kn_mn instances
* add more instances
* use name from tensor layout
* fix 3rd dword of buffer source descriptor (#659 )
* add fp64 instances (#658 )
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
* Issue #666 : Revert "simplify karg in device/grid of split-k op (#644 )" (#665 )
This reverts commit bb5530af91#668 )
* Rename to proper naming
* Add example of groupnorm + swish
* Extract duplicate code in example
* Add groupnorm + swish instances
* Ractor instance generation, split into multiple cpp file
* Add external api and client example
* Refine profiler message
* Use ck math version of exp
* Refine problem size in example
* Add host version of exp
* add a marco to turn on/off denorm fix (off by default) (#673 )
* add a marco to turn off denorm fix by default
* expose the marco
---------
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
* fixed quant example (#672 )
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
* Add dependabot config and pin rocm-docs-core (#663 )
* [gtest] suppress unsafe buffer warn (#670 )
ref: https://github.com/ROCmSoftwarePlatform/MIOpen/pull/1912
* Add memory index guard in wmma device ops (#667 )
* Add more macros to turn on/off denorm fix (#678 )
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
* Fix a typo (#676 )
* Add (#677 )
* Allow using ROCm release candidate compilers. (#679 )
* enable use of rocm5.5 release candidate 4
* upgrade to ROCM5.5 RC5
* try fix the PUB_KEY error, remove the cmake-data package
* upgrade to latest cmake version
* use private dockerhub repo for rocm5.5 rc5
* add missing bracket
* Disable SkipLDS & Align AIT api
* Update dependabot config (#682 )
Co-authored-by: samjwu <samjwu@users.noreply.github.com >
* update attn api
* solve type_convert bug + enable
---------
Co-authored-by: Sam Wu <sjwu@ualberta.ca >
Co-authored-by: Sam Wu <sam.wu2@amd.com >
Co-authored-by: rocking5566 <ChunYu.Lai@amd.com >
Co-authored-by: zjing14 <zhangjing14@gmail.com >
Co-authored-by: Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com >
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
Co-authored-by: carlushuang <carlus.huang@amd.com >
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
Co-authored-by: Jun Liu <Liu.Jun@amd.com >
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com >
Co-authored-by: samjwu <samjwu@users.noreply.github.com >
Co-authored-by: haocwang <Haocong.WANG@amd.com >
* fix typo
* Fix attention with causal mask
* multiple fix, try ait compile
* Add A/B not use LDS pipeline
* Clang format, Add gfx1101, gfx1102 support of FMHA example
* cancel change of format script
* 1. Enable 2-stage global Prefetch ( May cause VGPR spilling)
2. Enable FP16 accumulator blockwise_gemm
* clang-format
* 1. change blockwise gemm loopover direction from kmn to mnk ( ~1% improvement)
2. change kernel timing mode to 50 warmup + 50 timed repeat
* Update low level abstration of blockwise gemm wmma
* (2/5) bilinear gemm pass, perf bug: skip a lds has lower performance than skip b lds
* (3/5) batched gemm pass, perf bug: skip a lds has lower performance than skip b lds
* (4/5) grouped conv pass
* (5/5) attention pass, todo: debug lds perf bug
* AIT Attention API refactor (#8 )
* sanity pass
* sanity pass 2
* confirm significant performance regression.
* turn on all instances
* turn off instance format
* Fix bug & tunning & format
* DML meta, self_attn+cross_attn
* sanity pass
* remove useless flag
* update tile and problem size used in AIT attention
* bug fix in grouped conv supporting check
* deprecate inline asm wmma
* Bug fix: double lds skip
* clang-format
* Fix errors in
1. example, fmha
2. gridwise pipeline
3. deviceop, fmha, change some containers from vector to array
* part2 of previous commit
* clang format
* API fix of gridwisegemmpipeline
* separate array base and vector base attention tensor transformation
* fix gemm
* clang format
* add gemm fp16 instances
* Temp save
* fpAintB kernel compile pass
* Sanity pass.
* Temp save
* debug code enabled
* Fp16AInt8B_GEMM sanity
* MQA implementation
* GQA-4 example
* tempsave
* Compile pass
* New implementation of fp16Aint8B Gemm, Acheieve similar math throughput with native fp16 Gemm
* format
* Todo: fix gemm_bilinear_wmma instances compilation bug
* Solve a bug when K1=16
* remove unnecessary changes
* Remove tensor layout limitation to LDS usage in tesnor contraction
* update self-attention and cross-attention
* fix a typo of name
* Add arch limiter for fp8 gemm
* enable fp8 gemm_xdl for all gfx9 targets
* temporarily disable gemm_xdl_fp16_fp8 on MI100/200
* fix the cmake logic for gemm_xdl_fp16_fp8
* re-enable the gemm_xdl_fp16_fp8 on MI100/200
---------
Co-authored-by: aska-0096 <haocwang@amd.com >
Co-authored-by: Sam Wu <sjwu@ualberta.ca >
Co-authored-by: Sam Wu <sam.wu2@amd.com >
Co-authored-by: rocking5566 <ChunYu.Lai@amd.com >
Co-authored-by: Rostyslav Geyyer <46627076+geyyer@users.noreply.github.com >
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
Co-authored-by: carlushuang <carlus.huang@amd.com >
Co-authored-by: root <root@ctr-ubbsmc15.amd.com >
Co-authored-by: Jun Liu <Liu.Jun@amd.com >
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com >
Co-authored-by: samjwu <samjwu@users.noreply.github.com >
Co-authored-by: haocwang <Haocong.WANG@amd.com >
Co-authored-by: illsilin <Illia.Silin@amd.com >
2024-03-08 17:11:51 -08:00
zjing14
602c4cc0d9
Optimizing fp8_fp16 mixedprec gemm ( #1150 )
...
* add delayed cvt
* extend fp16 gemm_splitk instances for fp8_fp16 gemm
* add f8 example
* add 128 kperblk instances for fp8
* add kpb128 instance
* added more instances into kpb128
* clean code
* clean code
* fix
* fix
* fixed
* Update example/35_splitK_gemm/splitK_gemm_xdl_fp16_fp8.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
* Update library/src/tensor_operation_instance/gpu/gemm_splitk/device_gemm_xdl_splitk_f16_fp8_f16_mk_nk_mn_kpb128_instance.cpp
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
---------
Co-authored-by: Jing Zhang <jizha@amd.com >
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com >
2024-02-12 09:45:42 -08:00
zjing14
2ce9b56c64
add vector_type support into thread_copy_v3r1 ( #969 )
...
* add vector_type support into thread_copy_v3r1
* remove unncessary type_convert
* fixed datatype
* fixed dataType
* changed API with is_packx_invocable
* changed example
* add missing cmake file
* fixed ci
* fixed cmake
---------
Co-authored-by: Jing Zhang <jizha@amd.com >
2023-10-13 15:11:43 -05:00
zjing14
11676c7e49
Add multiple A/B support ( #906 )
...
* add gridwise_multi_abd
* move element_op into RunRead
* merge element_wise op with data read
* add multiABD example
* allow packed elementwise_op
* changed example
* clean
* clean
* add is_detected
* fix
* minor fix
* add scaleAdd_vec4 example
---------
Co-authored-by: Jing Zhang <jizha@amd.com >
2023-09-26 21:16:23 -05:00
zjing14
a66d14edf2
fixed fp8 issues ( #894 )
...
* fixed fp8 init; and reference gemm
* Update host_tensor_generator.hpp
* fixed convert
* fixed reference gemm
* fixed comments
* fixed comments
* fixed ci
* fixed computeType
---------
Co-authored-by: Jing Zhang <jizha@amd.com >
2023-09-12 22:17:56 -05:00
Bartlomiej Wroblewski
37a8c1f756
Redesign the DPP8 GEMM kernel to use warp-wise component ( #863 )
...
* Redesign the DPP8 GEMM kernel to use warp-wise component
* Review: Improve error messages
* Review: Remove unnecessary empty lines
* Review: Fix M, N per thread names
* Review: Rename mfma_input_type to dpp_input_type
* Review: Fix tensor adaptor; remove unnecessary element
* Review: Remove calls to dpp_gemm's MakeCDescriptor
* Review: Add blockwise doc, change function names to include dimension names
* Review: Remove duplicated code; Move Block2CtileMap alias to the top of the file
* Review: Add __restrict__ keywords
* Review: Use MatrixPadder for padding A, B, C matrices
* Review: Remove hardcoded datatypes
* Review: Change names from FloatX to XDataType
* Review: Introduce AK0 and BK0 instead of a single K0
* Review: Remove construction of dpp_datatypes object
* Review: Rename DppInstrRunner to DppLanegroupGemm
2023-09-06 11:44:09 -05:00
zjing14
38ada109ea
add an example of customized type convert - bfp16_rtn ( #869 )
...
* add an example of customized bfp16_rtn
* fixed threadwise_copy
---------
Co-authored-by: Jing Zhang <jizha@amd.com >
2023-08-29 12:31:24 -05:00
Bartłomiej Kocot
595d23be14
Fix transform and instances for grouped conv bwd data ( #848 )
...
* Fix transform and instances for grouped conv bwd data
* Add instances for small K and small C
* Remove workaround after fix
* Fix interface tests
2023-08-22 11:25:41 -05:00
Bartlomiej Wroblewski
d4c84256f7
Implement DPP8 based GEMM for Navi21 ( #826 )
2023-08-14 15:46:27 -05:00
carlushuang
e7dca79d27
initial stream-k implementation with example ( #699 )
...
* initial stream-k implementation with example
* fix unexpected change in err
* improve a little bit performance by reorganize pipeline.
* improve perf a little bit by swizzle block idx
* add profiler
* update example
* fix spelling
* shrink karg for streamk
* support dynamic buffer using memory coherence glc_slc bit from template
* control memory coherence while construct dynamic buffer
* update reduction for streamk(not ready yet)
* Add template parameter to make_dynamic_buffer to support amd_buffer coherence setting
* fix build issue
* fix several bug
* now result is correct, everything works (but has scratch)
* remove scratch by manually reset coordinate
* update device code
* fix a bug in final reduce
* fix something in example
* update async memset
* fix enum as camel case
* modify coherence enum name
* clean code and use atomic streamk by default
* remove unused var
* throw exception if have empty pointer
* fix format
* fix CI warning
* fix type in init
* modify CI error
* filter out on gfx10+
* restore changed example code
---------
Co-authored-by: Qianfeng Zhang <Qianfeng.Zhang@amd.com >
2023-07-26 14:18:15 -05:00
Illia Silin
b94fd0b227
update copyright headers ( #726 )
2023-05-31 18:46:57 -05:00
Illia Silin
ac9e01e2cc
Clean-up the headers ( #713 )
...
* fix headers for gpu instances
* remove unused headers
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com >
2023-05-24 08:11:25 -07:00
Rostyslav Geyyer
b076a02ad2
Optimize bf16 conversion ( #664 )
...
* Add TypeConvert class and start refactoring
* Refactor TypeConvert as a struct
* Get back to template functions type_convert
* Add a type_convert_bf16_rtn, set rtz as default
* Clean up
* Add UnaryConvertPrecision struct for high-precision workloads
* Format
* Update type_convert to UnaryConvert on threadwise level
* Update UnaryConvertPrecision
* Format
* Fix chmod
* Add a flag to pick converion method
* Format
* Remove the added flag
* Merge elementwise op with type conversion
* Move type_convert to elemwise op, update the op
* Update type_convert_precision -> bf16_convert_rtn
* Clean up
* Update comments
* Update the CK_WORKAROUND_DENORM_FIX flag handling
* Update the unneeded op to work but warn user
* Remove the message
* Use a PassThrough instead of ConvertBF16RTN to calcaulate reference
* Format
* Add missing include
2023-05-04 10:25:47 -05:00
Rostyslav Geyyer
dbd8f94bef
Add a denorm test fix ( #603 )
...
* Add type_convert implementations for bf16
* Add the fix for conv_fwd
* Add the fix for conv_bwd_data
* Add the fix for conv_bwd_weight
* Format
* Format
* Another format
* Add a macro to use workaround on MI200 only
* Format
---------
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com >
Co-authored-by: zjing14 <zhangjing14@gmail.com >
2023-03-29 15:05:32 -05:00
pmaybank
e4bf6d422e
Generate output using Doxygen / Breathe ( #598 )
...
* Modify Doxygen config to pick up include directories recursively
* Add DeviceMem struct to API Reference guide
* Add classes that are used in Flash Attention kernel
* Add a reference and config for generating bibliography
Co-authored-by: Philip Maybank <Philip.Maybank@amd.com >
2023-03-06 11:39:16 -06:00
Qianfeng
7fa892e63e
Batchnorm-forward implemented using welford method to calculate variance ( #403 )
...
* Update to the batchnorm-forward API and base class
* Fix leeked header including in gridwise_set_buffer_value.hpp
* Add kernels and device file for batchnorm-forward welford supporting both blockwise and multi-block reduction
* Update to the batchnorm-forward example to use the new batchnorm-forward device interface
* Change the batchnorm-forward reference to use sequential welford method
* Change to assign the workspace into four buffers in the host layer
* Use GetReduceCountPerThread functor to replace the initial count for Blockwise and Multiblock welford
* Tiny correction and remove un-used file under example/34_batchnorm
* Renaming in the kernel arguments
* Explicitly use ck::math::sqrt in batchnorm-forward kernels
* Add some comments to some kernels
* Tiny fix
* Generalize the data types in reference_batchnorm_forward_nhwc_c
* Use ck::ignore to mark un-used parameters
* Move GetReduceCountPerThread functor codes from kernel to device
* Remove some un-used codes in device_batchnorm_forward_impl.hpp
* Tiny fix in batchnorm_forward example
* Move GetReduceCountPerThread() to welford_helper.hpp
* Use seperate data type for Scale and Bias
* Renaming in device Op
* Tiny fix in forward example
* Updata to batchnorm-infer (type spliting, renaming)
* Add time and bandwidth measurement to the batchnorm-forward example
* Add support of elementwise operation for batchnorm forward output
* Reduce object copying by passing object as reference type
* Tiny change for performance
* Updates for performance again
* Some Renamings
* Add GetActualVariance template parameter for ThreadwiseWelfordMerge
* Tiny update in reference batchnorm forward nhwc/c
* Move batchnorm multiblock kernel files to grid/batchnorm_multiblock sub-directory
* Fuse mean and bias in the normalization calculation
Co-authored-by: root <root@dc-smc-18.amd.com >
Co-authored-by: rocking5566 <ChunYu.Lai@amd.com >
2022-10-27 18:52:54 -06:00
