* 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>
add unit test for gen instances for gemms
add unit tests for conv and batched gemms
add unit test for preselected gemm instances
apply ruff lint
add license header for the unit test
add inductor pytest to CI
verbose pip install
switch the directory before installing python packages
move the inductor codegen test
try yet another workdir
Update Jenkinsfile
The directory looks right, fixing pip module not found by invoking pip directly
Update Jenkinsfile
invoke pytest directly since the module is not found
Update Dockerfile
Install setuptools
update package structure
bump setuptools
maybe fix data path for library sources
fix library search path for conv instances
fix path in pyproject definition
compare path used in gen_instances with one in pyproject.toml; fix the difference
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
* port tiles from a8w8
* rm debug used files
* add instances
* remove all non gemm in cmake
* merge; impl fp16
* recover cmake from develop
* add missed files; fix clang format
---------
Co-authored-by: coderfeli <coderfeli@163.com>
* refactor the block_gemm_areg_breg_creg_v1 and add the v2 policy with 2x2 warp gemm
* Finished the 2x2 warp gemm policy and the block selection mechanism
* Clang format
* address poyen's comment
* Address feedbacks
* Fixed the compilation issue
* Change the function name
* Update for fmha_fwd qs_ks_vs pipeline
* Remove _builtin_amdgcn_sched_barrier(0)
* Move p_compute to p converting earlier for trying to increase vgprs re-using
* Enable GetQKBlockGemm to use WarpGemm-16x16x16 for QLoadOnce==false situation
* Re-add __builtin_amdgcn_sched_barrier(0)
---------
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
* Finished adding the performance benchmark for ck tile gemm
* Fix the executable rename problem
* fix the executable name error
* delete the unsupported layout combinations
* Update run_full_test.sh
* Update benchmark_mem_pipeline.sh
* Update benchmark_basic.sh
* change the executable of gemm_universal
* change ck_tile_gemm script permissions
* Addressed the comment
* Addressed the comment
* Fixed the comments
* Fixed Comment
* roll back the malfunctioned change
* Fix the Typo
* finalize the tile_gemm_fp16 performance monitoring
* fix the stash names for ck_tile gemm logs
* change the stashing logic
* change stashing syntax
---------
Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
Co-authored-by: illsilin <Illia.Silin@amd.com>
* Disable building DPP kernels by default
* Disable building dpp instances, examples, or tests if DPP_KERNELS is not set
* Add new DPP_KERNELS flag to readme
* 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>
* Update license year
* Add initial code to override decode problem
* Fix splitkv traits/args overriding error
* Reshape and transpose lse for decode
* Remove debug code
* Prettify example code
* Use better function name
* Add kMergeNumHeadGroupsSeqLenQ flag
Kernel user can use this switch to turn on/off optimization for
some problem sizes
* Add missing flag declarations
* Default turn off kMergeNumHeadGroupsSeqLenQ in codegen
* Group similar statements together
* Remove assumption of seqlen_q=1
* Remove kMergeNumHeadGroupsSeqLenQ from splitkv combine kernel
* Support kMergeNumHeadGroupsSeqLenQ=true in fmha splitkv kernel
* Run kMergeNumHeadGroupsSeqLenQ=true kernels when need
* Fix group mode block skip logics
* Undo changes of normal fwd kernel
* Update in GridSize() and using GridSize() for splitkv kernel (#1799)
---------
Co-authored-by: Qianfeng <qianfeng.zhang@amd.com>
* 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>
* 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>
