GitLab

* clean up

* add mutilple thread scratch to ThreadwiseTensorSliceTransfer_v3r1

* add 2 stage prefetch

* add more sanity check into transform_tensor_descriptor

* tweak

* enabling 2 stage prefetch to exsiting gridwise gemm; tweak

* enabling 2 stage prefetch to exsiting gridwise gemm

* move gridwise gemm pipeline in class; clean up

* add some irregular tile size

* update CalculateHasMainK0BlockLoop for multi-stage-prefetch

* refactor gridwise gemm pipeline class

* Convolution ND

* Code unification across dimensions for generating tensor descriptors.
* Example
* Instances

* Move convnd f32 instance file to comply with repo structure.

* Conv 1D tensor layouts.

* Formatting and use ReferenceConv

* Reference ConvFwd supporting 1D and 2D convolution.

* Debug printing TensorLayout name.

* Conv fwd 1D instance f32

* Refactor conv ND example.

Needed to support various conv dimensio.

Needed to support various conv dimensions

* Rename conv nd example director to prevent conflicts.

* Refactor some common utility to single file.

Plus some tests.

* Refactor GetHostTensorDescriptor + UT.

* Add 1D test case.

* Test reference convolution 1d/2d

* Remove some leftovers.

* Fix convolution example error for 1D

* Refactor test check errors utility function.

* Test Conv2D Fwd XDL

* More UT for 1D case.

* Parameterize input & weight initializers.

* Rename example to prevent conflicts.

* Split convnd instance into separate files for 1d/2d

* Address review comments.

* Fix data type for flops/gbytes calculations.

* Assign example number 11.
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* conv3d compiles but has memory error

* conv3d works

* fix performance issue by using __builtin_amdgc_readfirstlane

* change MakeBlock2CTileMap to MakeDefaultBlock2CTileMap; change c_blockid_to* to cblockid_to*

* clang-format

* remove CK_EXPERIMENTAL_PASS_TENSOR_DECRIPTOR_BY_*; moved wrapper into DeviceConv3d

* format

* remove useless marc

* add comment
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* [What] Refactor verification of gemm alpha_beta, move to reference operation
[Why] Sync with other verification

* Profile mk_nk for gemm bias 2d

* Support bias 2d with mn * kn in profiler

* Support bias 2d with km*kn and km*nk in profiler

* Support fp32 bias 2d in profiler

* format

* format
Co-authored-by: rocking <chunylai@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* add DeviceGemmSplitKXdl

* add file device_gemm_splitk_xdl.hpp

* set c matrix zero

* using atomic

* add all tuning parameter to f32 mkkn

* grid size change to 720

* add tunning parameter for NT

* add tunning parameter for TN

* add tunning parameter for TT

* add m=96tunning parameter

* add lost config

* debug

* fix sweep

* add failed tuning params

* fixed sweep logic

* clean

* add padding to M/N for irr tile size

* clean code

* add element wise operation

* fixed MPerBlock=96

* remove marco for slpitk swtich

* add test

* add new line at the end of device_gemm_xdl_instance.hpp

* remove step hack

* seperate split-k instance files

* add tunning parameters

* change disired grid size to parameters

* remove slice length

* add desiredgridsize parameter to ckProfiler

* add losting file device_gemm_xdl_splitk_instance.hpp

* change desired gride size to kbatch

* format

* format

* clean up

* add selection of device_instances

* clean code

* clean code

* add small tile size in fp16 nn

* test for rocm 4.5

* merge develop

* clean

* clean

* clean

* remove no-use code

* add padding switch to device_gemm_xdl

* add padding switch for ksplit fp32

* clean

* clean

* add files

* rename

* Update profiler.cpp

* format
Co-authored-by: ltqin <letaoqin@amd.com>
Co-authored-by: ltqin <letao.qin@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* prepare host for batched_gemm

* init commit of batched kernels

* fixed

* refine transform with freeze

* m/n padding

* fixed a bug; clean

* add small tiles

* clean

* clean code

* clean code

* add nt, tn, tt layout

* add missing file

* use StaticBufferTupleOfVector instead

* add reference_batched_gemm

* fixed a macro

* [What] Add 2d version of bias, prepare to implement alpha / beta scaling

* Add alpha / beta functor

* Refine parameter of example

* [What] Use real type instead of template
[Why] Prevent implicit cast

* Rename parameter for general operator

* Remove redundant comment

* Fix compile error
Co-authored-by: rocking <chunylai@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

- device_gemm_xdl_c_shuffle function signature matches split-k
- retire host_driver since it is no longer maintained
- linter error (unused variable)
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* tweak conv for odd C

* update script

* clean up elementwise op

* fix build

* clean up

* added example for gemm+bias+relu+add

* added example for gemm+bias+relu

* add profiler for gemm_s_shuffle; re-org files

* add profiler

* fix build

* clean up

* clean up

* clean up

* fix build

* add DeviceGemmSplitKXdl

* add file device_gemm_splitk_xdl.hpp

* set c matrix zero

* using atomic

* add all tuning parameter to f32 mkkn

* grid size change to 720

* add tunning parameter for NT

* add tunning parameter for TN

* add tunning parameter for TT

* add m=96tunning parameter

* add lost config

* add element wise operation

* fixed MPerBlock=96

* remove marco for slpitk swtich

* add test

* add new line at the end of device_gemm_xdl_instance.hpp

* remove step hack

* seperate split-k instance files

* add tunning parameters

* change disired grid size to parameters

* remove slice length

* add desiredgridsize parameter to ckProfiler

* add losting file device_gemm_xdl_splitk_instance.hpp

* change desired gride size to kbatch

* format

* format

* clean up

* add selection of device_instances

* clean code

* fix build issue
Co-authored-by: ltqin <letaoqin@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>
Co-authored-by: Jing Zhang <jizhan@amd.com>

* Do not hardcode the function parameter, use template instead.

* [What] Remove AThreadTransferSrcResetCoordinateAfterRun and BThreadTransferSrcResetCoordinateAfterRun in host API
[Why] "C_Shuffle" version is supposed to be similar to the vanilla one

* Fix typo
Let DeviceGemmXdl_C_Shuffle use kernel_gemm_xdlops_v3r1

* [What]
1. Add DeviceGemmXdl_C_Shuffle
2. Revise example of gemm_xdl
[Why] Prepare to add shuffle version of D = alpha * (A * B) + beta * C
[How] Imitate DeviceGemmXdl and device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp

* fix relu

* clean up

* clean up

* adding 1x1 conv

* adding 1x1 conv

* added 1x1 conv

* refactor

* refactor

* refactor

* added profiler for conv+bias+relu+add

* clean up

* adding conv+bias+relu

* adding conv+bias+relu

* added conv+bias+relu

* Update README.md

* update cpu verification

* adding c shuffle

* update static_tensor for dealing with invalid element

* adding c shuffle

* debugging

* fix bug

* convert to fp16 before shuffle

* shuffle more than one M/NRepeat

* clean up

* remove coordinate step hack from GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1

* clean up

* remove coordinate step hack from all gridwise gemm xdl

* clean up coordinate step hack

* clean up coordinate step hack

* ThreadwiseTensorSliceTransfer_v3r2 support pointwise op on both src and dst

* adding output shuffle in conv+bias+relu+add

* update

* added conv+bias+relu+add with c shuffle

* added conv+bias+relu+add with c shuffle

* fix forward_sweep bugs in threadwise copy

* clean up

* refactor

* clean up

* clean up

* added conv_c_shuffle+bias_relu

* clean up

* added conv+bias+relu+atomic_add

* clean up

* clean up

* clean up

* clean up

* clean up

* clean up

* misc fixes; add 1x1 specialization

* clean up

* delete unused device op

* clean up

* add support for odd C value

* gemm+activation

* move C pointwise operation into threadwise copy

* add pointwise operation to A/B matrix

* update ckProfiler

* adding bias add

* adding bias add

* adding bias add

* added bias add; worked around compiler issues

* clean up

* clean up

* Update README.md

* Update README.md

* Update README.md

* clean up

* add conv_xdl example

* adding conv_xdl_bias_relu_add example

* add conv+bias+relu+add, but has register spill issue

* tweak

* tweak

* refactor

* Update README.md

update readme for example/2_gemm_xdl_bias_relu_add

* clean up

* Update README.md

update readme for example/3_conv_xdl

* Update README.md

* start fixing 16bit data packing

* adding StaticTensor

* adding StaticTensor

* adding StaticTensor

* add missing constexpr

* adding static tensor

* adding static tensor

* adding transpose

* add inline asm for transpose 2x2 of half_t

* add general transpose_vectors(), but have unnecessary register initialization using v_mov

* fix unnecessary register initialization in transpose_vector by using more pass-by-reference

* add hardcoded logic for NHWC wrw

* improve asm for v_pack

* make ThreadwiseTensorSliceTransfer_v3r2 support any tensor

* tweak

* reorganize file

* add DeviceGemmXdl

* update script

* fix naming issue

* fix comment

* output HostTensorDescriptor

* rename

* padded GEMM for fwd v4r4r4 nhwc

* refactor

* refactor

* refactor

* adding ckProfiler

* adding ckProfiler

* refactor

* fix tuning parameter bug

* add more gemm instances

* add more fp16 GEMM instances

* fix profiler driver

* fix bug in tuning parameter

* add fp32 gemm instances

* small fix

* refactor

* rename

* refactor gemm profiler; adding DeviceConv and conv profiler

* refactor

* fix

* add conv profiler

* refactor

* adding more GEMM and Conv instance

* Create README.md

Add build instruction for ckProfiler

* Create README.md

Add Readme for gemm_xdl example

* Update README.md

Remove build instruction from top most folder

* Update README.md

* clean up