ik_llama_opt/ggml-cuda
Georgi Gerganov 7acc48960e ggml : generalize GGML_OP_CONCAT (#7563)
* ggml : generalize GGML_OP_CONCAT (WIP)

ggml-ci

* tests : add dim != 2 tests

* metal : generalize concat kernel

* tests : naming

* cuda : generalize concat kernel

ggml-ci

* sycl : add warning and assert

* ggml : fix op params handling

* metal : bugfix kernel

ggml-ci

* ggml : reimplement CPU and Metal

* cuda : add asserts

ggml-ci

* ggml : fix ptrs

ggml-ci
2024-05-28 11:04:19 +03:00
..
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 update HIP_UMA #7399 (#7414) 2024-05-28 01:40:47 +02:00
concat.cu ggml : generalize GGML_OP_CONCAT (#7563) 2024-05-28 11:04:19 +03:00
concat.cuh
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
diagmask.cuh
dmmv.cu ggml : drop support for QK_K=64 (#7473) 2024-05-23 10:00:21 +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: fix FA out-of-bounds reads (#7479) 2024-05-23 00:31:20 +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 FA out-of-bounds reads (#7479) 2024-05-23 00:31:20 +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: fix FA out-of-bounds reads (#7479) 2024-05-23 00:31:20 +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: fix FA out-of-bounds reads (#7479) 2024-05-23 00:31:20 +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 ggml : drop support for QK_K=64 (#7473) 2024-05-23 10:00:21 +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
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
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 ggml : drop support for QK_K=64 (#7473) 2024-05-23 10:00:21 +03:00