* Support ck in fmha
* Add ck submodule
* Do not return lse if return_softmax == false
* Use receipt to speed up ck compile time
* Integrate new version of ck_tile
* Support dropout for mha_fwd()
* Add dropout to mha_varlen_fwd()
* Update ck to develop
* Extract padding function for dropout randval
* Extract randval transformation function
* Sync the code structure and coding style with FA
* Remove this line, c++ api will handle this.
Sync with test_flash_attn.py
* fix compile error
* Add mha_bwd
* Generate dropout seed and offset from user generator
* update CK
* Add mha_varlen_bwd
* Use same python as build flash-attn to generate ck kernel
* Fix bug of group mode fwd about returning softmax lse
* larger the test tollerance
* Add test_flash_attn_output() and test_flash_attn_varlen_output()
* Always fill softmax_lse
* Remove duplicate benchmark script, since we already implement mha_bwd
* Refine get value from tuple
* Use default parameter for stream_config
* unblock all platform
* Add comment
* refine the test code
* Refine naming
* Add unpack to namespace
* Do not hardcode the warp size 64
* Add more targets
* Add README
* Optimize mha_fwd if seqlen_q == 1
* Support get_wheel_url for rocm
* Detect rocm environment by pytorch's IS_HIP_EXTENSION
* update to lastest ck
* Add necessary compile flag
* Sync the api with upstream FA
---------
Co-authored-by: carlushuang <carlus.huang@amd.com>
Co-authored-by: Yichen Yan <wenji.yyc@alibaba-inc.com>
Co-authored-by: Po Yen Chen <PoYen.Chen@amd.com>
Co-authored-by: Yichen Yan <oraluben@outlook.com>
* check in the two ways of approaching backwards for softcapping, both functional
* prepare the softcap switch for backwards
* temporary
* cleanup to the way Tri prefers
* calculate dtanh when copying from scores -> dtanh Tensor
* no ternary operators allowed for constexpr, so just use some hack found online
* fix maybe_dtanh, restore some files
* restore another file
* move calculate_dtanh to utils and colocate with apply_softcap
* cleanup
* maybe last cleanup
* save for another pr
* remove a stray line
* fix spacing
* fix an issue, and make test_flash_attn.py ready to test softcapping backwards
All integer parameters are specialized by default, so the two parameters
removed in this commit could lead to kernel re-compilation, even if
they were completely unused.
