Johannes Gäßler
b69f1647f9
CUDA: skip fully masked-out KV in FA vec kernel ( #13584 )
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* CUDA: skip fully masked-out KV in FA vec kernel
2025-05-20 14:45:07 +02:00
Johannes Gäßler
0208355f42
CUDA: fix race conditions FlashAttention kernels ( #13438 )
2025-05-10 22:22:48 +02:00
Johannes Gäßler
0cf6725e9f
CUDA: FA support for Deepseek (Ampere or newer) ( #13306 )
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* CUDA: FA support for Deepseek (Ampere or newer)
* do loop unrolling via C++ template
2025-05-09 13:34:58 +02:00
R0CKSTAR
492d7f1ff7
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc ( #12611 )
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* musa: fix all warnings
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
* musa: enable -DLLAMA_FATAL_WARNINGS=ON in run.sh
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
* musa: update ci doc (install ccache)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
* fix Windows build issue
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
* Address review comments
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
* Address review comments
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
2025-03-30 10:59:38 +02:00
Gaurav Garg
517b5ddbf0
CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case ( #12183 )
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- Find out active blocks per SM using cudaOccupancyMaxActiveBlocksPerMultiprocessor API. Use this value to determine the optimal parallel_blocks value.
- Prefer vector flash attention kernels over MMA kernel for BS=1
Fixes Issue: #12182
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Co-authored-by: Johannes Gäßler <johannesg@5d6.de >
2025-03-19 20:52:06 +01:00
Johannes Gäßler
a28e0d5eb1
CUDA: app option to compile without FlashAttention ( #12025 )
2025-02-22 20:44:34 +01:00
Johannes Gäßler
5fa07c2f93
CUDA: optimize FA for GQA + large batches ( #12014 )
2025-02-22 12:20:17 +01:00
Johannes Gäßler
864a0b67a6
CUDA: use mma PTX instructions for FlashAttention ( #11583 )
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* CUDA: use mma PTX instructions for FlashAttention
* __shfl_sync workaround for movmatrix
* add __shfl_sync to HIP
Co-authored-by: Diego Devesa <slarengh@gmail.com >
2025-02-02 19:31:09 +01:00
mahorozte
e9e661bd59
CUDA: remove unnecessary warp reduce in FA (ggml/1032)
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* kqmax_new_j in every thread within warp is same after operate at line 199,this reduce can be omit
* same problem in vec32
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Co-authored-by: ZhaoXiaoYu <zhao.xiaoyu@zte.com.cn >
2024-12-03 20:04:49 +02:00
Diego Devesa
ae8de6d50a
ggml : build backends as libraries ( #10256 )
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* ggml : build backends as libraries
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com >
2024-11-14 18:04:35 +01:00
Johannes Gäßler
fabdc3bda3
ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
2024-10-03 21:17:26 +03:00
Johannes Gäßler
e11bd856d5
CPU/CUDA: Gemma 2 FlashAttention support ( #8542 )
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* CPU/CUDA: Gemma 2 FlashAttention support
* apply logit_softcap to scale in kernel
* disable logit softcapping tests on Metal
* remove metal check
2024-08-24 21:34:59 +02:00
Georgi Gerganov
f3f65429c4
llama : reorganize source code + improve CMake ( #8006 )
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* scripts : update sync [no ci]
* files : relocate [no ci]
* ci : disable kompute build [no ci]
* cmake : fixes [no ci]
* server : fix mingw build
ggml-ci
* cmake : minor [no ci]
* cmake : link math library [no ci]
* cmake : build normal ggml library (not object library) [no ci]
* cmake : fix kompute build
ggml-ci
* make,cmake : fix LLAMA_CUDA + replace GGML_CDEF_PRIVATE
ggml-ci
* move public backend headers to the public include directory (#8122 )
* move public backend headers to the public include directory
* nix test
* spm : fix metal header
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* scripts : fix sync paths [no ci]
* scripts : sync ggml-blas.h [no ci]
---------
Co-authored-by: slaren <slarengh@gmail.com >
2024-06-26 18:33:02 +03:00
