Commit Graph

115 Commits

Author SHA1 Message Date
Bartlomiej Wroblewski
63cd459248 Fix DL GEMM instances with too large vector size (#901)
* Fix vector lengths of DL GEMM instances with padding
* Add checks for correctness of vector lenghts in DL GEMM
2023-09-18 14:08:23 +02:00
Bartlomiej Kocot
bc2d0583d3 Stylistic improvements for grouped convolution code
Remove unnecessary ignoring

Update test/grouped_convnd_bwd_weight/test_grouped_convnd_bwd_weight.cpp
2023-09-15 20:03:47 +02:00
zjing14
f9d0eddb90 Add fp16/fp8 support into Grouped gemm FixedNK (#874)
* move all arguments into device

* add b2c_tile_map

* add examples

* add SetDeviceKernelArgs

* dedicated fixed_nk solution

* init client api

* add grouped_gemm_bias example

* add a instance

* add instances

* formatting

* fixed cmake

* Update EnableCompilerWarnings.cmake

* Update cmake-ck-dev.sh

* clean; fixed comments

* fixed comment

* add instances for fp32 output

* add instances for fp32 output

* add fp32 out client example

* fixed CI

* init commit for kbatch

* add splitk gridwise

* format

* fixed

* clean deviceop

* clean code

* finish splitk

* fixed instances

* change m_loops to tile_loops

* add setkbatch

* clean code

* add splitK+bias

* add instances

* opt mk_nk instances

* clean examples

* fixed CI

* remove zero

* finished non-zero

* clean

* clean code

* optimized global_barrier

* fixed ci

* fixed CI

* instance and client

* removed AddBias

* format

* fixed CI

* fixed CI

* move 20_grouped_gemm to 21_grouped_gemm

* clean

* formatting

* clean

* clean

* fixed computeType

---------

Co-authored-by: Jing Zhang <jizha@amd.com>
2023-09-14 21:04:10 -05:00
Bartłomiej Kocot
475188ca2e Add grouped conv bwd weight dl instances and new layout (#897)
* Add grouped conv bwd weight dl instances and new layout

* Add M and N padding

* Remove todo comment

* Enable grouped conv fwd dl k,c=1 generic instance

* Comment fixes
2023-09-13 10:14:31 -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
8f84a01237 Enable DPP8 GEMM on Navi3 (#892) 2023-09-08 11:14:57 -05:00
Haocong WANG
562b4cec48 [Navi3x] Add fp16/int8 wmma conv forward instances (#746)
* fix wmma gemm int8; add grouped conv int8 example

* Add int8 gemm-bilinear instances

* compile sanity check unknown

* Sanity pass + clang-format

* add int8 conv profiler instances

* solve merge conflict

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>
2023-09-07 21:59:26 -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
3786bfe1cc added padding of K into gemm_v2r3 (#887)
* added kpad support into v2r3

* add generic instances

* fixed comments

* fixed mnk padding

* Update device_batched_gemm_xdl.hpp

---------

Co-authored-by: Jing Zhang <jizha@amd.com>
2023-09-06 10:15:52 -05:00
Illia Silin
7dcb14d9d4 fix syntax (#890) 2023-09-05 11:29:44 -07:00
Bartłomiej Kocot
0077eeb3be Add image to column kernel (#867)
* Add image to column kernel

* Add instances, tests, profiler, example

* Add client example

* Several fixes of image to column

* Fix variable name in device_image_to_column_impl

* Several fixes of image to column profiler

* Fix num_btype calculation

* Make new mesaurements for correct bytes calculation
2023-09-05 10:11:40 -05:00
Bartłomiej Kocot
c981f6d033 Fix K padding calculation for grouped conv data (#876)
* Fix K padding calculation for grouped conv data

* Restore previous padd for 1x1 specialization
2023-09-05 10:07:41 -05:00
zjing14
f5ec04f091 Grouped Gemm with Fixed K and N with SplitK (#818)
* move all arguments into device

* add b2c_tile_map

* add examples

* add SetDeviceKernelArgs

* dedicated fixed_nk solution

* init client api

* add grouped_gemm_bias example

* add a instance

* add instances

* formatting

* fixed cmake

* Update EnableCompilerWarnings.cmake

* Update cmake-ck-dev.sh

* clean; fixed comments

* fixed comment

* add instances for fp32 output

* add instances for fp32 output

* add fp32 out client example

* fixed CI

* init commit for kbatch

* add splitk gridwise

* format

* fixed

* clean deviceop

* clean code

* finish splitk

* fixed instances

* change m_loops to tile_loops

* add setkbatch

* clean code

* add splitK+bias

* add instances

* opt mk_nk instances

* clean examples

* fixed CI

* remove zero

* finished non-zero

* clean

* clean code

* optimized global_barrier

* fixed ci

* fixed CI

* removed AddBias

* format

* fixed CI

* fixed CI

* move 20_grouped_gemm to 21_grouped_gemm

---------

Co-authored-by: Jing Zhang <jizha@amd.com>
2023-08-31 09:22:12 -05:00
rocking
866377de18 MaxPool & AvgPool bwd instances, test, ckProfiler, client example (#861)
* Add maxpool instances

* Rename index pool to max pool.

* Add maxpool bwd bf16 instances

* Add avg pool bwd instances

* Rename avgpool and maxpool to avg_pool3d and max_pool

* Add bf16 pool fwd instances

* Add max pool bwd to ckProfiler

* Add avg pool3d bwd to ckProfiler

* Add avg pool bwd test

* Fix bug of reference pool fwd (dilation)

* Fix bug of max pool bwd  (dilation and initZero)

* Support bf16 compute data type

* Force compute type be f32. Because atomicAdd only support f32

* Add max pool bwd test

* Rename folder

* Rename pool

* Add max pool bwd client example

* Add avg pool bwd client example

* Add missing workspace

* clang format

* Rename macro

* remove useless header

* remove useless layout
2023-08-31 21:01:50 +08:00
zjing14
31ea132aa2 Fp16/fp8 mixed-precision Gemm with multiply+add fusion (#865)
* add compute_type

* add multiply_add ckProfiler

* add f8_fp16 support

* clean

* clean

* fixed lds size calc

* format

---------

Co-authored-by: Jing Zhang <jizha@amd.com>
2023-08-28 16:27:32 -05:00
Jun Liu
c8a8385fdd [HotFix] add config and version files to pass on build info (#856)
* experiment with config file

* experiment with version.h config

* add more info to version.h

* minor updates

* minor updates

* fix case where DTYPE is not used

* large amount of files but minor changes

* remove white space

* minor changes to add more MACROs

* fix cmakedefine01

* fix issue with CK internal conflict

* fix define and define value

* fix clang-format

* fix formatting issue

* experiment with cmake

* clang format v12 to be consistent with miopen

* avoid clang-format for config file
2023-08-23 11:36:17 -07:00
zjing14
ca3115e7e8 Ck profiler splitk (#857)
* updated regular gemm

* update ckProfiler

* fixed gtests

---------

Co-authored-by: Jing Zhang <jizha@amd.com>
2023-08-22 16:54:34 -07:00
Rostyslav Geyyer
eac50708d9 Add instances/ckProfiler/client example for fp8/fp16 mixed precision Gemm (#853)
* Add ComputeType arg to splitk device and gridwise ops

* Update for gridwise op compatibility

* Update bf16 and int8 splitk gemm examples with ComputeType

* Add instances

* Update ckProfiler for mixed precision cases

* Add a mixed precision splitK gemm client example

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-08-22 09:34:49 -05:00
cloudhan
d52ec01652 Use asynchronous version of hipMemset (#850) 2023-08-18 11:14:59 +08:00
Bartlomiej Wroblewski
d4c84256f7 Implement DPP8 based GEMM for Navi21 (#826) 2023-08-14 15:46:27 -05:00
rocking
f60f0a5e03 Refactor pool fwd (#815)
* Do not hardcode stride

* devicePool2DFwd Inherit devicePool3DFwd

* Move instance declaration out of common

* Add dilation

* use the pool3d rank, because pool2d inherit pooo3d

* calculate Do Ho Wo for the dilation

* Fix header name

* Modify ckProfiler

* Remove pool2d instance

* Remove pool2d in profiler

* Remove pool2d and add dilation

* In to client example, this commit revise following:
1. Add dilation.
2. Use pool3d to implement pool2d

* Refine naming and IsSupportedArgument()

* Add dilation to maxpool bwd example

* clang format

* 1. Remove useless header
2. Fix copyright
3. Refine naming

* Add layout parameter to pool fwd

* clang format

* Fix merge error

* Fix compile error

* Remove layout parameter in derived class

* Refine changlog

* Fix compile error

* Fix compiler error

* Add layout to external api and profiler
2023-08-15 02:25:28 +08:00
rocking
578142db3a Average pool backward deviceOP and example (#797)
* Add avgpool bwd reference code

* Refine naming

* Fix invalid in_element op in ref_conv

* Add example (only reference now)

* Add the full example of avgpool bwd

* Fix copyright

* Imitate MakeDescriptor from  transform_conv_bwd_data_to_gemm_v1.hpp

* rename channel to c from k

* Arrange the code

* Imitate the argument from conv bwd

* Implement invoker

* Fix order of parameter in example

* Refactor reference code for different dimension

* Support different stride

* Check if argument is valid

* Fix kernel parameter for NDHWC, fastest dimension C is not reduced

* Add more data type in example

* Fix bug in example

* calculate Do Ho Wo according to the dilation

* Remove useless header

* Add comment in reference code

* Add layout parameter

* Remove layout in derived class

* Refine reference comment
2023-08-10 12:04:35 +08:00
Bartłomiej Kocot
472fa029ba Enable grouped conv with small K or C (#822)
* Enable grouped conv with small K or C

* Add missing instances

* Refactor grouped conv fwd instances

* Fix fp16 instances since it supports src_per_vec %2 = 0

* Add generic instances
2023-08-09 10:40:55 -05:00
Rostyslav Geyyer
9c54eaab04 Enable f16/f8 mixed precision mode (#820)
* Enable f16/f8 mixed precision

* Add an argument to enable mixed precision

* Update for compatibility

* Add mixed precision example

* Introduce ComputeType argument
2023-08-09 08:44:23 -05:00
Bartłomiej Kocot
22443f7aae Add wei_strides to grouped conv3d wei to keep consistency (#817)
* Add wei_strides to grouped conv3d wei to keep consistency

* Fix strides in client examples

* Unify backward weight api with forward

* Fix for example

* Fixes for examples

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-08-07 10:23:45 -05:00
Bartłomiej Kocot
7761e5232c Add s_nops after v_dot to avoid hazard (#808)
* Add s_nops after v_dot to avoid hazard

* Fix builtin for inner_produxt fp16

* Skip inline version to builtin

* Add comments regarding isa

* Fix comment regarding s_nop
2023-07-27 13:29:44 -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
Bartłomiej Kocot
ac6d68b353 Disable XDL kernels on unsupported HW Add ck::is_xdl_supported (#768)
* Disable XDL kernels on unsupported HW; Add ck::is_xdl_supported function (#765)

* Do not throw an error when GEMM problem is not supported.

---------

Co-authored-by: Bartlomiej Wroblewski <bwroblewski10@gmail.com>
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
2023-07-26 07:19:55 -07:00
ltqin
50643dd555 Add bias scalar vectorload = 1 for gemm bias gemm (#791)
* first change bias load

* add bias dim and scalervector parameter

* make CDE0BlockTransferSrcVectorDim not work

* changse toinstance

* add limit for CDE0BlockTransferSrcScalarPerVector
2023-07-24 20:08:15 -05:00
Bartłomiej Kocot
10732847e7 Grouped conv bwd wei NDHWGC/NDHWGK (#804) 2023-07-21 12:00:55 -05:00
Bartłomiej Kocot
49180fd60b Grouped 3d conv backward data support (#799)
* Grouped 3d conv backward data support

* Fix comments
2023-07-18 11:01:33 -05:00
Bartłomiej Kocot
1ee99dcaa6 Support NHWGC conv2d_bwd_weight (#769)
* Support NHWGC conv2d_bwd_weight

* Fix client example

* Fix client example

* Fix comments

* Redesign grouped_conv_bwd_weight instances

* Clang format fix

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-07-12 08:25:02 -05:00
Qianfeng
8f5cafaf04 Batchnorm splitk single kernel (#771)
* Use dim 0 as faster dim for writing mean/var/count workspace in batchnorm multiblock method [performance]

* Add CountDataType as template parameter in blockwise_welford

* Add utility/get_shift.hpp

* Add BatchNorm multiblock single-kernel implementation

* Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a

* Renaming in device_batchnorm_forward_impl.hpp

* Tiny fix in the batchnorm_fwd profiler

* Revert "Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a"

This reverts commit d16d00919c.

* Use the old two-kernel batchnorm multiblock method for gfx1030

* Use the old two-kernel batchnorm multiblock method for gfx908

* use the single-kernel batchnorm multiblock method only for gfx90a

* Remove get_wave_id() from utility/get_id.hpp since it is not used

* Set true for testing running mean/variance and saving mean/invvariance in the examples

* Fix to copy-right words

* Remove un-needed including in utility/get_id.hpp

* Add comments to workgroup_synchronization.hpp

* Remove un-used codes in gridwise_multiblock_batchnorm_forward.hpp

* Renaming in the kernels

* Remove un-used kernel file
2023-07-06 10:58:55 -05:00
Adam Osewski
f4dfc060b7 Move Device Ops implementations into impl directory. (#777)
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-07-06 16:15:51 +02:00
Bartłomiej Kocot
63388e84ab Support bf16/f32/f16 and NHWGC conv2d_bwd_data (#757)
* Support bf16/f32/f16 and NHWGC conv2d_bwd_data

* Add interface test

* clang format

* Comment fixes

* Add more friendly error message
2023-06-21 08:20:31 -05:00
ltqin
32d2f52bf7 remove useless comments (#760) 2023-06-19 19:25:08 -07:00
zjing14
05ea6452b6 changed pipeline v1 (#763) 2023-06-19 19:24:18 -07:00
rocking
341ad95665 Maxpool bwd (#750)
* Add maxpool f32 kernel and example

* Revise copyright

* Add device pool bwd device op

* Support f16 and bf16

* Add compute datatype for reference code.
Prevent error in bf16

* Fix type error

* Remove layout

* Fix bf16 error

* Add f16 and bf16 example

* Add more operations

* Implement IsSupportedArgument

* Add changelog

* Add comment

* Add comment

* Remove useless header

* Move initialize of workspace to the run

* Move set din zero to the device operator

* Save din_length_raw

* Remove useless header

* Calculate gridsize according to the number of CU

* Calculate gridSize according to the number of CU.
Remove useless header

* Add put example

* Remove useless header

* Fix CI fail
2023-06-19 09:44:22 -05:00
Qianfeng
0d9118226b Padded Generic Kernel Instance (#730)
* Add NumReduceDim template parameter to DeviceSoftmax and Softmax client API to simplify instances collecting

* Move the generic kernel instance to be the first of the instance list for elementwise op of normalization

* Add GetGenericInstance() interface for DeviceOperationInstanceFactory class of DeviceSoftmax

* Add testing of GetGenericInstance() in client_example of Softmax

* Revert "Add testing of GetGenericInstance() in client_example of Softmax"

This reverts commit f629cd9a93.

* Revert "Add GetGenericInstance() interface for DeviceOperationInstanceFactory class of DeviceSoftmax"

This reverts commit a9f0d000eb.

* Support generic kernel instance to be the first instance returned by GetInstances() for GroupNorm

* Move generic kernel instance to separate tuple for elementwise op of normalization

* Remove un-used files for softmax instance

* Store generic kernel instance to separate tuple for softmax

* Add IsSupported checking for generic instance to client example of softmax

* Replace the get_device_normalize_from_mean_meansquare_instances() by the DeviceOperationInstanceFactory class for elementwise-normalization

* clang-format fix

* Remove int8 from softmax instances

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-06-16 23:43:11 -05:00
Illia Silin
027e46ee82 Enable gfx941 and gfx942 architectures. (#752)
* enable gfx941/942 targets

* fix clang format

* fix the cmake logic for multiple targets

* fix cmake syntax for looping over targets

* add gfx941/942 support for gemm_xdl instances
2023-06-15 08:20:59 -07:00
Qianfeng
c5f6ec842c Using number of compute units to set gridSize (#754)
* Add getAvailableComputeUnitCount() interface

* Use available number of compute units to set kernel grid size
2023-06-15 10:13:59 -05:00
Bartłomiej Kocot
fc9f97568f Add DeviceBatchedGemmMultipleD_Dl (#732)
* Add DeviceBatchedGemmMultipleD_Dl

* Fix batched_gemm tests

* Fix comments

* test_batched_gemm_multi_d fixes

* Fix args for isSupported batchedGemmMultipleDDl

* Disable tests for gfx90a
2023-06-12 08:37:15 -05:00
ltqin
0ede66de54 Fix flash attn mask bug (#733)
* add check input parameter

* add instance for vector load = 1

* move gerneral instance to first pos

* fix read bias code

* regular code for bias load

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-06-12 08:35:31 -05:00
Illia Silin
4036590401 fix clang format (#740) 2023-06-02 14:10:02 -07:00
who who who
e2ebc8e795 replace hipMemcpy with hipMemcpyWithStream (#734) 2023-06-01 16:23:41 -05:00
Po Yen Chen
9eae73df9b Simplify kernel argument of device operator Device(Batched)GemmXdl<> (#723)
* Remove M/N/KPad local variables

* Use M/N/KPad to name padded lengths

* Replace duplicated local variable by parameters

* Rename variables M/N/KRaw to M/N/K

* Move AK0/BK0 compute logic into GridwiseGemm

* Use macro to shorten code

* Move CalculateGridSize() logic into GridwiseGemm

* Add comment to credit the implementation source

* Reuse the existing implementation

* Remove no-longer used data members

* Remove elementwise-op objects from interfaces

* Reserve kernel arg as whole object in interfaces

* Remove redundant data member

* Make 3rd type parameter optional

* Remove unnesscary type parameters

* Remove no-longer used descriptor-creation methods

* Move kernel arg type definition into GridwiseGemm

* Add macro to switch between code sections

* Move argument field computing logic into device op side

* Make utility method 'static'

* Declare special methods

* Unify MakeArgument() usage

* Adapt the new GridwiseGemm interface

* Push-down class 'GridwiseGemm::Argument' fields

* Remove no-longer used methods

* Add unused parameters

* Force copying parameters in 'Embed' ctor

* Remove no-longer used descriptors

* Fallback change on BaseArgument

* Remove macro 'INTEGER_DIVIDE_CEIL'

* Make variable naming more consistent

* Make sure methods are only invoked on right place

* Remove tailing underscore in public attribute name

* Remove necessary methods

* Hide computing logic of derived attributes

* Make new 'Embed' ctor only available for device code

* Make sure 'Embed' type args are not references

* Move check for karg.K into CheckValidity()

* Remove more integer division logic form device code

* Undo changes on Embed

* Separate 'Problem' concept out from 'Argument'

* Add overloaded version of __builtin_amdgcn_readfirstlane()

* Remove 'static' specifiers

* Remove more 'static' specifier

* Replace unsigne char by std::byte

* Add 'const' specifier to never changing variable

* Add 'inline' specifier to funcion definition

* Share same name for kernel interfaces

* Fix wrong boundar calculation logic

* Leave the third template arg for compatibility

* Remove unnecessary parameters

* Fix wrong error message (for type name)

* Create descriptor on device side

* Fix wrong debug message

* Remove no-longer used data members

* Rename type trait

* Remove std:: qualifier from standard types

* Replace 'size_t' by 'unsigned'

* Use type alias to hint usage

* Replace static_for<> by ordinary 'for' loop

* Reject unsupported argument

* Rename readfirstlane() to amd_wave_read_first_lane()

* Rename file readfirstlance.hpp as amd_wave_read_first_lane.hpp

* Update function calls

* Reorder statements

* Re-format files

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-06-01 16:23:02 -05:00
Illia Silin
b94fd0b227 update copyright headers (#726) 2023-05-31 18:46:57 -05:00
Po Yen Chen
1344a0f25b Simplify kernel argument of device operator DeviceGemm_Xdl_CShuffle<> (#696)
* Remove M/N/KPad local variables

* Use M/N/KPad to name padded lengths

* Replace duplicated local variable by parameters

* Rename variables M/N/KRaw to M/N/K

* Move AK0/BK0 compute logic into GridwiseGemm

* Use macro to shorten code

* Move CalculateGridSize() logic into GridwiseGemm

* Add comment to credit the implementation source

* Reuse the existing implementation

* Remove no-longer used data members

* Remove elementwise-op objects from interfaces

* Reserve kernel arg as whole object in interfaces

* Remove redundant data member

* Make 3rd type parameter optional

* Remove unnesscary type parameters

* Remove no-longer used descriptor-creation methods

* Move kernel arg type definition into GridwiseGemm

* Add macro to switch between code sections

* Move argument field computing logic into device op side

* Make utility method 'static'

* Declare special methods

* Unify MakeArgument() usage

* Adapt the new GridwiseGemm interface

* Push-down class 'GridwiseGemm::Argument' fields

* Remove no-longer used methods

* Add unused parameters

* Force copying parameters in 'Embed' ctor

* Remove no-longer used descriptors

* Fallback change on BaseArgument

* Remove macro 'INTEGER_DIVIDE_CEIL'

* Make variable naming more consistent

* Make sure methods are only invoked on right place

* Remove tailing underscore in public attribute name

* Remove necessary methods

* Hide computing logic of derived attributes

* Make new 'Embed' ctor only available for device code

* Make sure 'Embed' type args are not references

* Move check for karg.K into CheckValidity()

* Remove more integer division logic form device code

* Undo changes on Embed

* Separate 'Problem' concept out from 'Argument'

* Share same name for kernel interfaces

* Reject unsupported argument

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-05-30 07:09:55 -05:00
Adam Osewski
70e4eb567f Multiple fixes to GroupedGemm+SplitK (#707)
* Add license header.

* Reduce number of logged output. Add constant initialization.

* Add functional tests for grouped_gemm with different kbatch value.

* Add debug log informations + remove unused code.

* Don't pass kbatch to CalculateKPadded.

* Turn on logging in grouped gemm and gemm splitk profiler

* Debug: limit number of test cases to run;

* Log more information and initialize with constant value.

* Turn on DEBUG_LOG

* Add more debug log informations.

* Limit the number of instances to compile.

* Use GridwiseGemmPipeline

* Use KBatch to calculate K0

* Multiple DebugLog messages.

* Unit tests for multiple KBatch values.

* Refactoring

* Disable logging
* extract out of if statement KBatch update.

* Uncomment instances.

* Disable DebugLog.

* Use Kbatch when calculate KPadded.

* Fix CGridDesc padding.

* Use available helper functions.

* Uncomment code commented for debuggin.

* Remove unnecessary debug log messages.

* Uncomment previously commented code for debug purposes.

* Add KBatch info to profiler output summary log.

* Add gtests for gemm splitk using ckProfiler API.

* Add more test-cases for different data layout.

* Add more test cases for gemm splitk

* Remove old test.

* Unit tests for MKNK ggemm interface.

* Fix and add more unit-tests.

* Constepxr everything!

* Increase error threshold for fp16 and splitk.

Since we're using fp16 atomic add for splitk there's a
known precision loss.

---------

Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
2023-05-30 07:09:06 -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