| .. |
|
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
|
ggml : mul_mat_id use the same tensor for all the experts (#6387)
|
2024-04-03 16:07:05 +03:00 |
|
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: refactor mmq, dmmv, mmvq (#7716)
|
2024-06-05 16:53:00 +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: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)
|
2024-06-01 15:47:04 +02:00 |
|
fattn-tile-f16.cu
|
CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)
|
2024-06-01 15:47:04 +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: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)
|
2024-06-01 15:47:04 +02:00 |
|
fattn-vec-f32.cuh
|
Fix FlashAttention debug test, FP32 assert (#7684)
|
2024-06-01 23:26:10 +02:00 |
|
fattn-wmma-f16.cuh
|
CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681)
|
2024-06-01 15:47:04 +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 |
|
mmq.cu
|
CUDA: revise q8_1 data layout for mul_mat_q (#7824)
|
2024-06-09 09:42:25 +02:00 |
|
mmq.cuh
|
CUDA: revise q8_1 data layout for mul_mat_q (#7824)
|
2024-06-09 09:42:25 +02:00 |
|
mmvq.cu
|
CUDA: refactor mmq, dmmv, mmvq (#7716)
|
2024-06-05 16:53:00 +02:00 |
|
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: deduplicate FlashAttention code (#7352)
|
2024-05-18 12:36:25 +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
|
feat: implemented sigmoid function (ggml/806)
|
2024-05-11 15:38:34 +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: refactor mmq, dmmv, mmvq (#7716)
|
2024-06-05 16:53:00 +02:00 |
