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9a590c8226
llama.cpp/ggml-cuda
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Johannes Gäßler 9a590c8226
CUDA: optimize MMQ int8 tensor core performance (#8062) 
* CUDA: optimize MMQ int8 tensor core performance

* only a single get_mma_tile_x_k function

* simplify code, make functions constexpr
2024-06-24 12:41:23 +02:00
..
template-instances CUDA: refactor mmq, dmmv, mmvq (#7716) 2024-06-05 16:53:00 +02:00
acc.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
acc.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
arange.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
arange.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
argsort.cu CUDA: faster q2_K, q3_K MMQ + int8 tensor cores (#7921) 2024-06-14 18:41:49 +02:00
argsort.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
binbcast.cu ggml : group all experts in a single ggml_mul_mat_id (#6505) 2024-04-18 15:18:48 +02:00
binbcast.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
clamp.cu Introduction of CUDA Graphs to LLama.cpp (#6766) 2024-05-08 22:55:49 +02:00
clamp.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
common.cuh CUDA: optimize MMQ int8 tensor core performance (#8062) 2024-06-24 12:41:23 +02:00
concat.cu cuda : non-cont concat support (#7610) 2024-05-29 15:38:26 +03:00
concat.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
convert.cu ggml : drop support for QK_K=64 (#7473) 2024-05-23 10:00:21 +03:00
convert.cuh llama : add Command R Plus support (#6491) 2024-04-09 11:16:13 +03:00
cpy.cu Introduction of CUDA Graphs to LLama.cpp (#6766) 2024-05-08 22:55:49 +02:00
cpy.cuh Introduction of CUDA Graphs to LLama.cpp (#6766) 2024-05-08 22:55:49 +02:00
dequantize.cuh llama : add Command R Plus support (#6491) 2024-04-09 11:16:13 +03:00
diagmask.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
diagmask.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
dmmv.cu CUDA: refactor mmq, dmmv, mmvq (#7716) 2024-06-05 16:53:00 +02:00
dmmv.cuh sync : ggml (#6351) 2024-03-29 17:45:46 +02:00
fattn-common.cuh CUDA: use tensor cores for MMQ (#7676) 2024-06-10 11:45:13 +02:00
fattn-tile-f16.cu CUDA: use tensor cores for MMQ (#7676) 2024-06-10 11:45:13 +02:00
fattn-tile-f16.cuh CUDA: faster large batch FA without tensor cores (#7314) 2024-05-17 18:54:52 +02:00
fattn-tile-f32.cu CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681) 2024-06-01 15:47:04 +02:00
fattn-tile-f32.cuh CUDA: faster large batch FA without tensor cores (#7314) 2024-05-17 18:54:52 +02:00
fattn-vec-f16.cuh CUDA: use tensor cores for MMQ (#7676) 2024-06-10 11:45:13 +02:00
fattn-vec-f32.cuh CUDA: fix broken oob check for FA vec f32 kernel (#7904) 2024-06-12 17:41:51 +02:00
fattn-wmma-f16.cuh CUDA: use tensor cores for MMQ (#7676) 2024-06-10 11:45:13 +02:00
fattn.cu CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681) 2024-06-01 15:47:04 +02:00
fattn.cuh ggml : add Flash Attention (#5021) 2024-04-30 12:16:08 +03:00
getrows.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
getrows.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
im2col.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
im2col.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
mma.cuh CUDA: optimize MMQ int8 tensor core performance (#8062) 2024-06-24 12:41:23 +02:00
mmq.cu CUDA: stream-k decomposition for MMQ (#8018) 2024-06-20 14:39:21 +02:00
mmq.cuh CUDA: optimize MMQ int8 tensor core performance (#8062) 2024-06-24 12:41:23 +02:00
mmvq.cu cuda : fix bounds check for src0 rows in MMVQ kernel (whisper/2231) 2024-06-16 20:32:49 +03:00
mmvq.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
norm.cu ggml : fix YARN + add tests + add asserts (#7617) 2024-05-29 20:17:31 +03:00
norm.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
pad.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
pad.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
pool2d.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
pool2d.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
quantize.cu CUDA: revise q8_1 data layout for mul_mat_q (#7824) 2024-06-09 09:42:25 +02:00
quantize.cuh CUDA: revise q8_1 data layout for mul_mat_q (#7824) 2024-06-09 09:42:25 +02:00
rope.cu ggml : refactor rope norm/neox (#7634) 2024-06-05 11:29:20 +03:00
rope.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
scale.cu Introduction of CUDA Graphs to LLama.cpp (#6766) 2024-05-08 22:55:49 +02:00
scale.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
softmax.cu CUDA: faster q2_K, q3_K MMQ + int8 tensor cores (#7921) 2024-06-14 18:41:49 +02:00
softmax.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
sumrows.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
sumrows.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
tsembd.cu cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
tsembd.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
unary.cu Add support for sqrt on CUDA (#7953) 2024-06-17 00:23:04 +02:00
unary.cuh Add support for sqrt on CUDA (#7953) 2024-06-17 00:23:04 +02:00
upscale.cu ggml : add ggml_upscale_ext (ggml/814) 2024-05-15 13:23:33 +03:00
upscale.cuh cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
vecdotq.cuh CUDA: faster q2_K, q3_K MMQ + int8 tensor cores (#7921) 2024-06-14 18:41:49 +02:00