ikawrakow/ik_llama.cpp
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6dfbef27ecf851ec92a904a37554edfff133f2cf
ik_llama.cpp/ggml/src/ggml-cuda
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Kawrakow 7024fdbc72 Additional graph reduce types for split mode graph (#1154) 
* WIP: add Q8_0 and BF16 as possible reduce types

Does not work - there is a big somewhere

* This finally works
2026-01-18 08:02:49 +02:00
..
template-instances
CUDA: fuse ffn_up*unary_op(ffn_gate) for MMVQ (V2) (#864)
2025-10-26 17:08:50 +02:00
vendors
CUDA: muh faster prompt processing for MoE models and small u-batch sizes (#728)
2025-08-26 13:30:35 +03:00
acc.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
acc.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
add-id.cu
Enable CUDA graphs for MoE models + GPT-OSS support (#689)
2025-08-15 09:18:07 +03:00
add-id.cuh
Enable CUDA graphs for MoE models + GPT-OSS support (#689)
2025-08-15 09:18:07 +03:00
arange.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
arange.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
argmax.cu
Adding Ling/Ring (a.k.a., Bailing-MoE2) support (#833)
2025-10-15 14:20:40 +03:00
argmax.cuh
Adding Ling/Ring (a.k.a., Bailing-MoE2) support (#833)
2025-10-15 14:20:40 +03:00
argsort.cu
Fuse add+add+fused_rms (#853)
2025-10-22 16:18:11 +03:00
argsort.cuh
Various fused ops around expert selection (#840)
2025-10-19 19:02:46 +03:00
binbcast.cu
Additional graph reduce types for split mode graph (#1154)
2026-01-18 08:02:49 +02:00
binbcast.cuh
Additional graph reduce types for split mode graph (#1154)
2026-01-18 08:02:49 +02:00
clamp.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
clamp.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
common.cuh
Fix ring reduction (#1114)
2026-01-07 08:01:31 +02:00
concat.cu
Add copyright notices (#317)
2025-04-07 10:43:26 +02:00
concat.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
conv2d-dw.cu
Port mdmd from mainline + Qwen2/2.5-VL support (#798)
2025-09-27 08:45:29 +02:00
conv2d-dw.cuh
Port mdmd from mainline + Qwen2/2.5-VL support (#798)
2025-09-27 08:45:29 +02:00
conv2d.cu
Port mdmd from mainline + Qwen2/2.5-VL support (#798)
2025-09-27 08:45:29 +02:00
conv2d.cuh
Port mdmd from mainline + Qwen2/2.5-VL support (#798)
2025-09-27 08:45:29 +02:00
conv-transpose-1d.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
conv-transpose-1d.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
convert.cu
MXFP4 (#682)
2025-08-09 08:40:18 +03:00
convert.cuh
Port mdmd from mainline + Qwen2/2.5-VL support (#798)
2025-09-27 08:45:29 +02:00
cp-async.cuh
Faster DeepSeek FA on CUDA (#408)
2025-05-12 07:49:00 +03:00
cpy-utils.cuh
Enable CUDA graphs for MoE models + GPT-OSS support (#689)
2025-08-15 09:18:07 +03:00
cpy.cu
Split mode "graph" for Cohere2 (#1061)
2025-12-13 20:30:08 +01:00
cpy.cuh
DeepSeek TG optimizations for TG (#928)
2025-11-10 09:52:07 +02:00
dequantize.cuh
Enable iq4_nl KV cache on CUDA (#1006)
2025-11-24 09:41:19 +01:00
diagmask.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
diagmask.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
dmmv.cu
Trellis quants with CPU inference (#441)
2025-05-23 09:17:52 +03:00
dmmv.cuh
Merge mainline - Aug 12 2024 (#17)
2024-08-12 15:14:32 +02:00
fattn-common.cuh
Refactor chat and server file (#1062)
2025-12-15 08:27:20 +01:00
fattn-mma-f16-interface.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-mma-f16.cu
Support GigaChat3 (#995)
2025-11-24 06:55:14 +01:00
fattn-mma-f16.cuh
Fix #772 (#790)
2025-09-23 16:43:02 +02:00
fattn-new-mma.cu
Fix race in CUDA FA for head sizes 192/128 (#1104)
2026-01-05 08:21:07 +02:00
fattn-new-mma.cuh
FlashMLA-3 for DeepSeek models on CUDA (#386)
2025-05-07 17:38:22 +03:00
fattn-tile-f16.cu
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-tile-f16.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-tile-f32.cu
CUDA: Fix FA for Pascal GPU (#1036)
2025-12-05 16:42:14 +01:00
fattn-tile-f32.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-vec-common.cuh
Alternative CUDA FA for SWA models (#754)
2025-09-04 08:42:18 +02:00
fattn-vec-f16-interface.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-vec-f16.cu
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-vec-f16.cuh
Alternative CUDA FA for SWA models (#754)
2025-09-04 08:42:18 +02:00
fattn-vec-f32-interface.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-vec-f32.cu
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-vec-f32.cuh
Alternative CUDA FA for SWA models (#754)
2025-09-04 08:42:18 +02:00
fattn-wmma-f16-interface.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-wmma-f16.cu
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
fattn-wmma-f16.cuh
Fix GLM-4.5 attention (#700)
2025-08-17 14:31:03 +03:00
fattn.cu
Fix mla = 0 (#1130)
2026-01-10 10:34:30 +02:00
fattn.cuh
CUDA: corectly detect if flash attention is supported (#875)
2025-10-29 13:56:16 +02:00
getrows.cu
Add copyright notices (#317)
2025-04-07 10:43:26 +02:00
getrows.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
graph.cuh
Enable CUDA graphs for MoE models + GPT-OSS support (#689)
2025-08-15 09:18:07 +03:00
hadamard.cu
K-cache Hadamard transforms (CUDA) (#1034)
2025-12-04 18:46:22 +01:00
hadamard.cuh
K-cache Hadamard transforms (CUDA) (#1034)
2025-12-04 18:46:22 +01:00
im2col.cu
Fix gemma3 vision (#803)
2025-09-27 11:15:32 +02:00
im2col.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
iqk_cuda_common.h
CUDA: faster IQ2_K, IQ2_KS, IQ2_K_R4 (#716)
2025-08-22 07:25:35 +03:00
iqk_mmvq_templates.cuh
POC: CUDA tensor parallel (MoE models) (#1022)
2025-12-01 19:25:40 +01:00
iqk_mmvq.cu
CUDA: fuse ffn_up*unary_op(ffn_gate) for MMVQ (V2) (#864)
2025-10-26 17:08:50 +02:00
iqk_mmvq.cuh
CUDA: fuse ffn_up*unary_op(ffn_gate) for MMVQ (V2) (#864)
2025-10-26 17:08:50 +02:00
mma_new.cuh
CUDA: faster FA TG for GQA models (#370)
2025-05-04 09:17:44 +03:00
mma.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
mmq_id_common.cuh
Adopt fix from mainline PR 17089 (#920)
2025-11-08 07:44:20 +02:00
mmq_id.cu
Minor
2025-11-18 08:55:36 +00:00
mmq_id.cuh
Revert "CUDA: prompt processing optimizations for MoE models (#739)" (#748)
2025-09-02 06:55:48 +02:00
mmq.cu
CUDA MoE improvements (#923)
2025-11-09 11:34:33 +02:00
mmq.cuh
Fix overflow in offset calculation in mmq (#1059)
2025-12-12 14:31:06 +01:00
mmvq-args.h
CUDA: fuse ffn_up*unary_op(ffn_gate) for MMVQ (V2) (#864)
2025-10-26 17:08:50 +02:00
mmvq-templates.cuh
Biased mmvq: minor optimization (#880)
2025-10-31 14:21:18 +02:00
mmvq.cu
CUDA MoE improvements (#923)
2025-11-09 11:34:33 +02:00
mmvq.cuh
Even more fused ops (#868)
2025-10-27 16:09:01 +02:00
multiadd.cu
Fused mul + multi_add op (#858)
2025-10-24 07:40:35 +03:00
multiadd.cuh
Fused mul + multi_add op (#858)
2025-10-24 07:40:35 +03:00
norm.cu
Additional graph reduce types for split mode graph (#1154)
2026-01-18 08:02:49 +02:00
norm.cuh
Fused norm (#1086)
2025-12-24 15:22:43 +01:00
pad.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
pad.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
pool2d.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
pool2d.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
quantize_id.cu
CUDA: muh faster prompt processing for MoE models and small u-batch sizes (#728)
2025-08-26 13:30:35 +03:00
quantize_id.cuh
CUDA: muh faster prompt processing for MoE models and small u-batch sizes (#728)
2025-08-26 13:30:35 +03:00
quantize.cu
CUDA MoE improvements (#923)
2025-11-09 11:34:33 +02:00
quantize.cuh
CUDA MoE improvements (#923)
2025-11-09 11:34:33 +02:00
reduce.cu
Additional graph reduce types for split mode graph (#1154)
2026-01-18 08:02:49 +02:00
reduce.cuh
Graph parallel: the next generation (#1080)
2025-12-24 08:31:48 +01:00
rope.cu
Fuse Q and K RoPE (#980)
2025-11-19 09:08:42 +01:00
rope.cuh
Fuse Q and K RoPE (#980)
2025-11-19 09:08:42 +01:00
scale.cu
Adding Ling/Ring (a.k.a., Bailing-MoE2) support (#833)
2025-10-15 14:20:40 +03:00
scale.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
set-rows.cu
Adding Ling/Ring (a.k.a., Bailing-MoE2) support (#833)
2025-10-15 14:20:40 +03:00
set-rows.cuh
Adding Ling/Ring (a.k.a., Bailing-MoE2) support (#833)
2025-10-15 14:20:40 +03:00
softcap.cu
Add copyright notices (#317)
2025-04-07 10:43:26 +02:00
softcap.cuh
Add copyright notices (#317)
2025-04-07 10:43:26 +02:00
softmax.cu
Enable CUDA graphs for MoE models + GPT-OSS support (#689)
2025-08-15 09:18:07 +03:00
softmax.cuh
Add copyright notices (#317)
2025-04-07 10:43:26 +02:00
sumrows.cu
Fuse add+add+fused_rms (#853)
2025-10-22 16:18:11 +03:00
sumrows.cuh
Various fused ops around expert selection (#840)
2025-10-19 19:02:46 +03:00
topk-moe.cu
Attempt to fix #974 (#983)
2025-11-19 15:48:39 +01:00
topk-moe.cuh
cuda: fused top_k+softmax as used in most MoE models (#789)
2025-09-23 13:45:57 +02:00
tsembd.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
tsembd.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
unary.cu
Merge ffn_up and ffn_gate experts tensors (#1137)
2026-01-12 18:30:53 +02:00
unary.cuh
Merge ffn_up and ffn_gate experts tensors (#1137)
2026-01-12 18:30:53 +02:00
upscale.cu
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
upscale.cuh
Merge mainline llama.cpp (#3)
2024-07-27 07:55:01 +02:00
vecdotq.cuh
CUDA: faster prompt processing for 4-bit quants (#713)
2025-08-21 15:57:35 +03:00