whisper.cpp/ggml/src/ggml-cuda
Aman Gupta dae7781052 CUDA: GDN hide memory latency (llama/20537) 2026-03-29 15:04:36 +03:00
..
template-instances CUDA: faster FA for GQA > 1 but not power of 2 (llama/19092) 2026-01-30 15:56:40 +02:00
vendors cuda : add RDNA4-specific MMVQ parameter table for bs=1 decode (llama/19478) 2026-03-16 13:10:15 +02:00
CMakeLists.txt CUDA : Update CCCL-tag for 3.2 to final release from RC (llama/19486) 2026-02-15 21:44:37 +02:00
acc.cu
acc.cuh
add-id.cu musa: fix build warnings (llama/15258) 2025-09-20 13:42:38 +03:00
add-id.cuh llama : add gpt-oss (llama/15091) 2025-08-18 20:30:45 +03:00
arange.cu
arange.cuh
argmax.cu ggml : use WARP_SIZE/2 for argmax reduction offset (llama/18092) 2025-12-18 08:20:56 +02:00
argmax.cuh
argsort.cu CUDA: Fix builds for older CCCL versions by ifdefing strided_iterator (llama/18964) 2026-01-30 15:56:40 +02:00
argsort.cuh sampling : add support for backend sampling (llama/17004) 2026-01-14 09:11:59 +02:00
binbcast.cu ggml : extend bin bcast for permuted src1 (llama/19484) 2026-02-15 21:44:37 +02:00
binbcast.cuh CUDA: fuse adds, fuse add with rms norm (llama/15631) 2025-09-20 13:42:44 +03:00
clamp.cu
clamp.cuh
common.cuh Improve CUDA graph capture (llama/19754) 2026-02-27 20:57:58 +02:00
concat.cu
concat.cuh
conv-transpose-1d.cu musa: add GGML_UNUSED_VARS (llama/15446) 2025-09-20 13:42:38 +03:00
conv-transpose-1d.cuh
conv2d-dw.cu
conv2d-dw.cuh
conv2d-transpose.cu
conv2d-transpose.cuh
conv2d.cu CUDA: fix build error from ambiguous __half conversions in conv2d (llama/15690) 2025-09-20 13:42:46 +03:00
conv2d.cuh CUDA: add conv2d (llama/15635) 2025-09-20 13:42:44 +03:00
convert.cu cuda: cap grid.y at 65535 in non-contiguous dequantize/convert kernels (llama/19999) 2026-03-16 13:10:15 +02:00
convert.cuh HIP: RDNA4 tensor core support for MMF (llama/17077) 2025-12-12 17:53:06 +02:00
count-equal.cu
count-equal.cuh
cp-async.cuh
cpy-utils.cuh cuda : support non-contiguous i32 to i32 copy (llama/17326) 2025-12-12 17:53:06 +02:00
cpy.cu Fix data race in CUDA's "cpy" kernel (influences GGML's DUP, CONT operations). (llama/20507) 2026-03-16 13:10:15 +02:00
cpy.cuh cuda : remove legacy copy-op pointer indirection code (llama/16485) 2025-10-15 09:29:17 +03:00
cross-entropy-loss.cu
cross-entropy-loss.cuh
cumsum.cu sampling : add support for backend sampling (llama/17004) 2026-01-14 09:11:59 +02:00
cumsum.cuh Add support for CUMSUM and TRI for CUDA. (llama/17584) 2025-12-12 17:53:17 +02:00
dequantize.cuh CUDA: replace GGML_CUDA_F16 with CUDA arch checks (llama/15433) 2025-09-20 13:42:38 +03:00
diag.cu Add DIAG for CUDA (llama/17873) 2025-12-12 17:53:23 +02:00
diag.cuh Add DIAG for CUDA (llama/17873) 2025-12-12 17:53:23 +02:00
diagmask.cu
diagmask.cuh
fattn-common.cuh CUDA: limit number of FA stream-k CUDA blocks (llama/20586) 2026-03-16 13:10:15 +02:00
fattn-mma-f16.cuh chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
fattn-tile.cu ggml: CUDA: add head size 72 for flash-attn (llama/16962) 2025-11-09 23:38:03 +02:00
fattn-tile.cuh CUDA: fix kernel selection logic for tile FA (llama/19686) 2026-02-27 20:57:58 +02:00
fattn-vec.cuh chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
fattn-wmma-f16.cu Adjust workaround for ROCWMMA_FATTN/GFX9 to only newer ROCm veresions (llama/19591) 2026-02-27 20:57:58 +02:00
fattn-wmma-f16.cuh chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
fattn.cu CUDA: add CDNA3 MFMA support for flash attention MMA kernel (llama/19806) 2026-03-16 13:10:15 +02:00
fattn.cuh CUDA: refactor FA support/selection code (llama/15454) 2025-09-20 13:42:38 +03:00
fill.cu ggml : allow fill node alloc inplace (llama/17870) 2025-12-12 17:53:22 +02:00
fill.cuh cuda : add FILL op support (llama/17851) 2025-12-12 17:53:22 +02:00
gated_delta_net.cu CUDA: GDN hide memory latency (llama/20537) 2026-03-29 15:04:36 +03:00
gated_delta_net.cuh ggml: add GATED_DELTA_NET op (llama/19504) 2026-03-16 13:10:15 +02:00
getrows.cu CUDA: fix GET_ROWS for large tensors (llama/15882) 2025-09-20 13:42:52 +03:00
getrows.cuh
ggml-cuda.cu ggml: avoid creating CUDA context during device init (llama/20595) 2026-03-16 13:10:15 +02:00
gla.cu
gla.cuh
im2col.cu CUDA: fix im2col_3d to respect non-contiguous inputs (views) (llama/15956) 2025-09-20 13:45:30 +03:00
im2col.cuh ggml: add ops for WAN video model (cuda && cpu) (llama/15669) 2025-09-20 13:42:49 +03:00
mean.cu ggml-cuda: enable cuda-graphs for `n-cpu-moe` (llama/18934) 2026-01-30 15:56:40 +02:00
mean.cuh
mma.cuh CUDA: add CDNA3 MFMA support for flash attention MMA kernel (llama/19806) 2026-03-16 13:10:15 +02:00
mmf.cu HIP: add mmf for CDNA (llama/18896) 2026-01-30 15:56:40 +02:00
mmf.cuh HIP: add mmf for CDNA (llama/18896) 2026-01-30 15:56:40 +02:00
mmid.cu CUDA: add fp kernel for larger batch size MoE (llama/16512) 2025-10-15 09:29:17 +03:00
mmid.cuh CUDA: add fp kernel for larger batch size MoE (llama/16512) 2025-10-15 09:29:17 +03:00
mmq.cu HIP: adjust RDNA3.5 MMQ kernel selction logic (llama/18666) 2026-01-14 09:11:59 +02:00
mmq.cuh cuda: optimize iq2xxs/iq2xs/iq3xxs dequantization (llama/19624) 2026-02-27 20:57:58 +02:00
mmvf.cu CUDA: use mmvq for mul-mat-id for small batch sizes (llama/18958) 2026-02-08 09:29:10 +02:00
mmvf.cuh CUDA: use mmvq for mul-mat-id for small batch sizes (llama/18958) 2026-02-08 09:29:10 +02:00
mmvq.cu cuda : add RDNA4-specific MMVQ parameter table for bs=1 decode (llama/19478) 2026-03-16 13:10:15 +02:00
mmvq.cuh cuda : enable CUDA graphs for MMID 1 <= BS <= 4 (llama/19645) 2026-02-27 20:57:58 +02:00
norm.cu CUDA: Factor out and re-use `block_reduce` function (llama/18785) 2026-01-30 15:56:40 +02:00
norm.cuh CUDA: fuse adds, fuse add with rms norm (llama/15631) 2025-09-20 13:42:44 +03:00
opt-step-adamw.cu
opt-step-adamw.cuh
opt-step-sgd.cu finetune: SGD optimizer, more CLI args (llama/13873) 2025-08-18 20:30:45 +03:00
opt-step-sgd.cuh finetune: SGD optimizer, more CLI args (llama/13873) 2025-08-18 20:30:45 +03:00
out-prod.cu
out-prod.cuh
pad.cu cuda : extend GGML_OP_PAD to work with non-cont src0 (llama/19429) 2026-02-15 21:44:37 +02:00
pad.cuh
pad_reflect_1d.cu musa: fix build warnings (llama/15611) 2025-09-29 15:18:10 +03:00
pad_reflect_1d.cuh cuda : add Pad Reflect 1D support (llama/14659) 2025-09-20 13:42:39 +03:00
pool2d.cu
pool2d.cuh
quantize.cu chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
quantize.cuh CUDA: experimental native mxfp4 support for blackwell (llama/17906) 2025-12-31 17:52:09 +02:00
reduce_rows.cuh CUDA: Factor out and re-use `block_reduce` function (llama/18785) 2026-01-30 15:56:40 +02:00
roll.cu
roll.cuh
rope.cu CUDA: Fix non-contig rope (llama/19338) 2026-02-15 21:44:37 +02:00
rope.cuh CUDA: fuse rope + set_rows (llama/16884) 2025-11-17 21:05:46 +02:00
scale.cu ggml: add ops for WAN video model (cuda && cpu) (llama/15669) 2025-09-20 13:42:49 +03:00
scale.cuh
set-rows.cu CUDA: use fastdiv in set-rows (llama/16834) 2025-11-09 23:38:03 +02:00
set-rows.cuh
set.cu cuda: add SET operation support (llama/16804) 2025-11-09 23:38:03 +02:00
set.cuh cuda: add SET operation support (llama/16804) 2025-11-09 23:38:03 +02:00
softcap.cu
softcap.cuh
softmax.cu chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
softmax.cuh
solve_tri.cu chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
solve_tri.cuh SOLVE_TRI CUDA kernel for small matrices (llama/17457) 2025-12-12 17:53:11 +02:00
ssm-conv.cu cuda/hip: fix loop unrolling in ssm-conv (llama/20369) 2026-03-16 13:10:15 +02:00
ssm-conv.cuh CUDA: use shared mem for ssm_conv (llama/20128) 2026-03-16 13:10:15 +02:00
ssm-scan.cu ggml : optimize cuda ssm_scan using warp-level reduction (llama/18505) 2026-01-14 09:11:59 +02:00
ssm-scan.cuh
sum.cu CUDA: Optimize `reduce_rows_f32` kernel, leading up to 25x perf improvement on kernel-level and 10% perf increase for Gemma3n (llama/15132) 2025-08-18 20:30:45 +03:00
sum.cuh
sumrows.cu CUDA: Optimize `reduce_rows_f32` kernel, leading up to 25x perf improvement on kernel-level and 10% perf increase for Gemma3n (llama/15132) 2025-08-18 20:30:45 +03:00
sumrows.cuh
top-k.cu CUDA: Replace init_offsets kernel with iterators in cub-based argsort (llama/18930) 2026-01-30 15:56:40 +02:00
top-k.cuh sampling : add support for backend sampling (llama/17004) 2026-01-14 09:11:59 +02:00
topk-moe.cu ggml-cuda: add mem check for fusion (llama/19916) 2026-03-16 13:10:15 +02:00
topk-moe.cuh CUDA: refactor topk-moe to enable more models (GLM 4.7, Nemotron etc.) (llama/19126) 2026-01-30 15:56:40 +02:00
tri.cu Add support for CUMSUM and TRI for CUDA. (llama/17584) 2025-12-12 17:53:17 +02:00
tri.cuh Add support for CUMSUM and TRI for CUDA. (llama/17584) 2025-12-12 17:53:17 +02:00
tsembd.cu ggml : fix padding in timestep embedding kernels (llama/15932) 2025-09-20 13:45:30 +03:00
tsembd.cuh
unary.cu CUDA: use shared mem for ssm_conv (llama/20128) 2026-03-16 13:10:15 +02:00
unary.cuh CUDA: use shared mem for ssm_conv (llama/20128) 2026-03-16 13:10:15 +02:00
upscale.cu model: LFM2-VL fixes (llama/17577) 2025-12-12 17:53:14 +02:00
upscale.cuh
vecdotq.cuh cuda: optimize iq2xxs/iq2xs/iq3xxs dequantization (llama/19624) 2026-02-27 20:57:58 +02:00
wkv.cu
wkv.cuh