squall/cutlass
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

Minor README fix (#623)

Browse Source 
* minor fix

* Minor fix
This commit is contained in:
ANIKET SHIVAM 2022-09-12 19:40:25 -07:00 committed by GitHub
parent e773429f7e
commit 50ceed7154
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -39,7 +39,7 @@ supported at each level of the execution model hierarchy.
# What's New in CUTLASS 2.10 # What's New in CUTLASS 2.10
CUTLASS 2.10 is an update to CUTLASS adding: CUTLASS 2.10 is an update to CUTLASS adding:
- [CUTLASS Python](/examples/40_cutlass_py) now supports GEMM, CONV, Group GEMM for different data types as well as different epilogue flavours. - [CUTLASS Python](/examples/40_cutlass_py) now supports GEMM, Convolution and Grouped GEMM for different data types as well as different epilogue flavors.
- Optimizations for CUTLASS's [Grouped GEMM](examples/24_gemm_grouped/gemm_grouped.cu) kernel. It can move some scheduling into the host side if applicable. - Optimizations for CUTLASS's [Grouped GEMM](examples/24_gemm_grouped/gemm_grouped.cu) kernel. It can move some scheduling into the host side if applicable.
- Optimizations for [GEMM+Softmax](examples/35_gemm_softmax). - Optimizations for [GEMM+Softmax](examples/35_gemm_softmax).
- [Grouped GEMM for Multihead Attention](examples/41_multi_head_attention) is a general MHA that does not require equal sequence length in every GEMM. - [Grouped GEMM for Multihead Attention](examples/41_multi_head_attention) is a general MHA that does not require equal sequence length in every GEMM.