..
acc.cu
…
acc.cuh
…
arange.cu
…
arange.cuh
…
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
…
binbcast.cu
ggml : group all experts in a single ggml_mul_mat_id ( #6505 )
2024-04-18 15:18:48 +02:00
binbcast.cuh
…
clamp.cu
Introduction of CUDA Graphs to LLama.cpp ( #6766 )
2024-05-08 22:55:49 +02:00
clamp.cuh
…
common.cuh
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +02:00
concat.cu
…
concat.cuh
…
convert.cu
Introduction of CUDA Graphs to LLama.cpp ( #6766 )
2024-05-08 22:55:49 +02:00
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
…
diagmask.cuh
…
dmmv.cu
llama : add Command R Plus support ( #6491 )
2024-04-09 11:16:13 +03:00
dmmv.cuh
sync : ggml ( #6351 )
2024-03-29 17:45:46 +02:00
fattn-common.cuh
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +02:00
fattn-tile-f16.cu
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +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: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +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.cu
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +02:00
fattn-vec-f16.cuh
CUDA: add FP32 FlashAttention vector kernel ( #7188 )
2024-05-12 19:40:45 +02:00
fattn-vec-f32.cu
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +02:00
fattn-vec-f32.cuh
CUDA: add FP32 FlashAttention vector kernel ( #7188 )
2024-05-12 19:40:45 +02:00
fattn.cu
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +02:00
fattn.cuh
ggml : add Flash Attention ( #5021 )
2024-04-30 12:16:08 +03:00
getrows.cu
…
getrows.cuh
…
im2col.cu
…
im2col.cuh
…
mmq.cu
CUDA: fix unused warning in mmq.cu ( #7442 )
2024-05-21 20:27:12 +03:00
mmq.cuh
…
mmvq.cu
Introduction of CUDA Graphs to LLama.cpp ( #6766 )
2024-05-08 22:55:49 +02:00
mmvq.cuh
…
norm.cu
…
norm.cuh
…
pad.cu
…
pad.cuh
…
pool2d.cu
…
pool2d.cuh
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quantize.cu
llama : add Command R Plus support ( #6491 )
2024-04-09 11:16:13 +03:00
quantize.cuh
llama : add Command R Plus support ( #6491 )
2024-04-09 11:16:13 +03:00
rope.cu
cuda : fix rope + add tests ( #7452 )
2024-05-22 11:01:35 +03:00
rope.cuh
…
scale.cu
Introduction of CUDA Graphs to LLama.cpp ( #6766 )
2024-05-08 22:55:49 +02:00
scale.cuh
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softmax.cu
CUDA: deduplicate FlashAttention code ( #7352 )
2024-05-18 12:36:25 +02:00
softmax.cuh
…
sumrows.cu
…
sumrows.cuh
…
tsembd.cu
…
tsembd.cuh
…
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
…
vecdotq.cuh
IQ1_M: 1.75 bpw quantization ( #6302 )
2024-03-26 15:21:27 +01:00