* Have a workable version for SGPR
* have a workable version for atomic add
* Revert "have a workable version for atomic add"
This reverts commit 792377a590c26cfff9c8f545d9a9e8484a7422eb.
* substitute with the new sgpr read api
* update the CHANGELOG
* have a workable version for atomic add
* Revert "have a workable version for atomic add"
This reverts commit 792377a590c26cfff9c8f545d9a9e8484a7422eb.
* change to static for logic
* have a workable version for atomic add
* Revert "have a workable version for atomic add"
This reverts commit 792377a590c26cfff9c8f545d9a9e8484a7422eb.
* [CK_TILE][REGRESSION] Correct blockSize in Generic2dBlockShape (c254f3d7b4 )
WarpPerBlock_M * WarpPerBlock_N are not equal with ThreadPerBlock_M * ThreadPerBlock_N /warpSize. we should calculate BlockSize from WarpPerBlock_M * WarpPerBlock_N
To compatible with wave32, function GetBlockSize is added to calculate correct size in host side.
* fix blocksize for all kernel related with generic2dblockshap
* remove constexpr for blocks
* 50ms -> 28ms
* Fix bug in non fuse_add_store cases
* Fine tuned setting for 2 pass pipeline
* adjust workload
* remove unnecessary change
* add layernorm
* Adding output quant and unquant results at the same time.
* fix test
* fix format
* tune for cases 128x640 and 128x1024
* bug ifx
* Add shortcut to RMSNorm
* Modify test for adding shortcut for RMSNorm
* Add fused parameter into tests
* 1. Add YDataType. 2. rmsnorm2d_fwd_traits_ from rmsnorm2d_fwd.hpp to rmsnorm2d_fwd_api.cpp and rmsnorm2d_fwd_instance_common.hpp
* 1. Supports various stride and percisions.
* Add support of Epilogue
* Add fuse and epilogue support to rmsnorm ref
* Modify rmsnorm example
* Refactor tests/examples
* Bug fix for newly added tests/examples
* Bug fix for new tests 2
* Modify smoke test scripts
remove dbg code
* Supports non-smooth dyanmic quant
* Update Rmsnorm2dFwd::GetName()
* rename xscale and prec_sx to smoothscale and prec_sm
Bug fix after rename
Remove files
* change example_rmsnorm2d_fwd.cpp
* update performance calculator
* Fix issue in two-pass when fuse add is enabled
* Remove comment of beta
---------
Co-authored-by: rocking <ChunYu.Lai@amd.com>
* 1. enable bias feature that add bias before adding residual; 2. change block size from 128->64 when m<64 in fp16
* delete comment
* 1.remove fmha change 2.change buffer name from bias to xbias
* Now bias can be used independently from fadd
* change kbias to kxbias
---------
Co-authored-by: feli <felix.li@amd.com>
* add no welford
* enable output raw
* raw of int8
* fix build
* fix smoke test err
* [ck_tile]layernorm: fix welford ok, set int8 and bf16 small N as default and others open by generate
* [cktile]layernorm, fix err commit files and remove uselss
* fix quant 8192 err & change norm_reduce class and file name
---------
Co-authored-by: coderfeli <coderfeli@163.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
* [CK_TILE] add more stride for layernorm to support un-continuous Tensor
* align CK coding style
* extend strides to layernrom expample
* clang-format...
* optimze small N case using vec io and using rcp div
* [Ck_tile] layernorm, add param to control fastdiv; change generate codes and test pass
* [Ck_tile] fix blockSize compute in Generic2dBlockShape
* [Ck_tile]fix kfastfdiv template style
* [Ck_tile] layernorm, fix stype in review
---------
Co-authored-by: dummycoderfe <noplydummmycoder@163.com>
* add prenorm/postnorm support, refactor using generate.py
* update README
* update README
* fix format
* update some description and fix format
* update format
* format
* use non-raw for loading
* format and update n4096
* dynamic-quant ready
* update readme
* support fused dynamic-quant
* update fused-quant, with smooth
* update README
* update args
* update some based on comment
* Add reduce2d new api
* Prevent user use cross warp reduction
* Fix bug of std caculation
* Add rmsnorm2d
* Add rmsnorm small example
* Remove static assert to prevent compile fail
* Add script to test performance and correctness
* Add missing cmake change
* refine naming
* refine example of rmsnorm
* Fix bug of rmsnorm
* Refine naming
* Fix cmake
* clang format
* Refine pipeline name
* Add add_rmsnorm2d_rdquant kernel
* Add reduce op
* host verification
* Fix bug of one pass pipeline
* Refine tile size
* Add two pass pipeline
* Rename two pass to three pass
* Fix bug of kSaveX == false
* Add instance library
* Add test script
* Fix bug of x verification
* Add save_x to trait
* Add README
* Move reduce2d into reduce folder
* Fix bug of welford when number of m warp > 1
* remove reduncant comment
* 1. move 06_rmsnorm2d to 10_rmsnorm2d
2. move 07_add_rmsnorm2d_rdquant to 11_add_rmsnorm2d_rdquant
* clang format and add missing header
* Add host validation of add + layernorm2d + rsquant
* Revert "Add host validation of add + layernorm2d + rsquant"
This reverts commit 936cb45797.
* Remove deprecated flag
* port layernorm
* change warp_welford.hpp
* Update warpshuffle
* 1. Add save mean and save std back
2. Move construction of tensor_view and tile_window to operator()
* refine welford max count calculation
* unify layernorm api
* Rename file
* Remove save mean and inv std
* Revert "refine welford max count calculation"
This reverts commit 022365802b.
* Fix order of parameter
* refine welford max count calculation again
* Remove fp32 instances
* Fix bug of padding
* refactor api
* Support bf16
* Extract common function
* Refine arg of operator()
* Add kMThreadPerBlock to template parameter
* clang format
* Refine variable name
* Refine file name
* remove redundant line
* refactor layernorm2d pipeline and add block-per-block utility
* fix name
* rename more
* add more block-per-tile instance
* remove duplicated define
* update instance for 2048, 1024 case
* support up to 2048 now
* opt loading
* add n1536
* Add two pass pipeline
* format
* Fix incorrect type
* parallel compilation
* Use smaller N
* fix 2p pass
* Support Repeat_M in distribution
* Refine nameing
* Add reduce example
---------
Co-authored-by: letaoqin <letaoqin@amd.com>
Co-authored-by: aska-0096 <haocwang@amd.com>
Co-authored-by: rocking <ChunYu.Lai@amd.com>
Co-authored-by: carlushuang <carlus.huang@amd.com>
* Fix compile error
* Add one pass pipeline
* Extract creating tile_window to operator()
* clang format
* reduce duplicated code
* do not hardcode
* Support padding in layernorm
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Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
* Add layernorm2d forward
* Refind file path
* clang format
* Exclude ck_tile op from all
* use add_executable instead
* refactor layernorm2d_fwd example
---------
Co-authored-by: carlushuang <carlus.huang@amd.com>
