..
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: faster q2_K, q3_K MMQ + int8 tensor cores ( #7921 )
2024-06-14 18:41:49 +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: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) ( #7860 )
2024-06-11 08:26:07 +02:00
mmq.cu
CUDA: revise q8_1 data layout for mul_mat_q ( #7824 )
2024-06-09 09:42:25 +02:00
mmq.cuh
CUDA: faster q2_K, q3_K MMQ + int8 tensor cores ( #7921 )
2024-06-14 18:41:49 +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
tests : add non-cont unary tests ( #7857 )
2024-06-12 16:00:22 +03:00
unary.cuh
feat: implemented sigmoid function (ggml/806)
2024-05-11 15:38:34 +03:00
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