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146b88e8b3e16d22cea22f8be982a4d45e913b1e
llama.cpp/ggml/src/ggml-cuda
History
Johannes Gäßler 0b4be4c435 CUDA: fix FTZ in FA for Gemma 3 (#13991)
2025-06-04 08:57:05 +02:00
..
template-instances
CUDA: FA support for Deepseek (Ampere or newer) (#13306)
2025-05-09 13:34:58 +02:00
vendors
CUDA/HIP: Share the same unified memory allocation logic. (#12934)
2025-04-15 11:20:38 +02:00
acc.cu
llama/ggml: add LLM training support (#10544)
2025-05-12 14:44:49 +02:00
acc.cuh
…
arange.cu
…
arange.cuh
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argmax.cu
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argmax.cuh
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argsort.cu
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argsort.cuh
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binbcast.cu
Support pure float16 add/sub/mul/div operations in the CUDA (and CPU) backend (ggml/1121)
2025-03-03 18:18:11 +02:00
binbcast.cuh
…
clamp.cu
cuda: unary ops as float + de-duplicate (ggml/1130)
2025-03-03 18:18:11 +02:00
clamp.cuh
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CMakeLists.txt
CUDA: FA support for Deepseek (Ampere or newer) (#13306)
2025-05-09 13:34:58 +02:00
common.cuh
CUDA: add a prop in ggml_cuda_device_infor for distinguish iGPU or dGPU in cuda (#13856) (#13895)
2025-05-31 08:48:04 +02:00
concat.cu
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
2025-03-30 10:59:38 +02:00
concat.cuh
…
conv-transpose-1d.cu
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
2025-03-30 10:59:38 +02:00
conv-transpose-1d.cuh
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convert.cu
CUDA: fix non-cont. inputs for batched mat mul (#13155)
2025-04-29 16:00:27 +02:00
convert.cuh
CUDA: fix non-cont. inputs for batched mat mul (#13155)
2025-04-29 16:00:27 +02:00
count-equal.cu
…
count-equal.cuh
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cp-async.cuh
CUDA: FA support for Deepseek (Ampere or newer) (#13306)
2025-05-09 13:34:58 +02:00
cpy.cu
musa: Upgrade MUSA SDK version to rc4.0.1 and use mudnn::Unary::IDENTITY op to accelerate D2D memory copy (#13647)
2025-05-21 09:58:49 +08:00
cpy.cuh
ggml: Re-enable CUDA graphs in presence of CONT and DUP nodes (#12970)
2025-04-17 15:19:42 +02:00
cross-entropy-loss.cu
MUSA: support ARM64 and enable dp4a .etc (#11843)
2025-02-21 09:46:23 +02:00
cross-entropy-loss.cuh
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dequantize.cuh
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diagmask.cu
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diagmask.cuh
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fattn-common.cuh
CUDA: fix FA tg at long context for CC >= 8.9 (#13852)
2025-05-28 13:33:37 +02:00
fattn-mma-f16.cuh
CUDA: fix FTZ in FA for Gemma 3 (#13991)
2025-06-04 08:57:05 +02:00
fattn-tile-f16.cu
CUDA: FA support for Deepseek (Ampere or newer) (#13306)
2025-05-09 13:34:58 +02:00
fattn-tile-f16.cuh
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fattn-tile-f32.cu
CUDA: FA support for Deepseek (Ampere or newer) (#13306)
2025-05-09 13:34:58 +02:00
fattn-tile-f32.cuh
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fattn-vec-f16.cuh
CUDA: fix race condition in FA vector kernels (#13742)
2025-05-24 11:46:19 +02:00
fattn-vec-f32.cuh
CUDA: fix race condition in FA vector kernels (#13742)
2025-05-24 11:46:19 +02:00
fattn-wmma-f16.cu
CUDA: FA support for Deepseek (Ampere or newer) (#13306)
2025-05-09 13:34:58 +02:00
fattn-wmma-f16.cuh
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fattn.cu
CUDA: faster Deepseek FA, add Turing support (#13435)
2025-05-14 16:08:20 +02:00
fattn.cuh
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getrows.cu
CUDA: fix crash on large batch size for MoE models (#13384)
2025-05-09 12:14:04 +02:00
getrows.cuh
CUDA: batched+noncont MMQ, refactor bs>1 MoE code (#13199)
2025-04-30 23:12:59 +02:00
ggml-cuda.cu
CUDA: add a prop in ggml_cuda_device_infor for distinguish iGPU or dGPU in cuda (#13856) (#13895)
2025-05-31 08:48:04 +02:00
gla.cu
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gla.cuh
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im2col.cu
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im2col.cuh
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mma.cuh
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
2025-03-30 10:59:38 +02:00
mmq.cu
CUDA: fix crash on large batch size for quant. MoE (#13537)
2025-05-14 16:41:02 +02:00
mmq.cuh
cuda : remove nrows_x in mul_mat_q_process_tile (#13325)
2025-05-07 09:48:23 +02:00
mmv.cu
CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
2025-04-22 21:27:40 +02:00
mmv.cuh
CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
2025-04-22 21:27:40 +02:00
mmvq.cu
CUDA: fix crash with partial offloading of MoE (#13439)
2025-05-11 16:09:33 +02:00
mmvq.cuh
CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
2025-04-22 21:27:40 +02:00
norm.cu
llama: Add support for RWKV v7 architecture (#12412)
2025-03-18 07:27:50 +08:00
norm.cuh
llama: Add support for RWKV v7 architecture (#12412)
2025-03-18 07:27:50 +08:00
opt-step-adamw.cu
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opt-step-adamw.cuh
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out-prod.cu
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out-prod.cuh
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pad.cu
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
2025-03-30 10:59:38 +02:00
pad.cuh
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pool2d.cu
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pool2d.cuh
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quantize.cu
CUDA: fix crash on large batch size for quant. MoE (#13537)
2025-05-14 16:41:02 +02:00
quantize.cuh
CUDA: batched+noncont MMQ, refactor bs>1 MoE code (#13199)
2025-04-30 23:12:59 +02:00
rope.cu
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rope.cuh
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scale.cu
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scale.cuh
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softmax.cu
HIP: fix flash_attn_stream_k_fixup warning (#11604)
2025-02-02 23:48:29 +01:00
softmax.cuh
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ssm-conv.cu
fix MUSA compiler warning (#12704)
2025-04-03 09:32:55 +02:00
ssm-conv.cuh
ggml : faster ssm scan (#10558)
2025-03-31 18:05:13 +02:00
ssm-scan.cu
fix MUSA compiler warning (#12704)
2025-04-03 09:32:55 +02:00
ssm-scan.cuh
ggml : faster ssm scan (#10558)
2025-03-31 18:05:13 +02:00
sum.cu
llama/ggml: add LLM training support (#10544)
2025-05-12 14:44:49 +02:00
sum.cuh
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sumrows.cu
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sumrows.cuh
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tsembd.cu
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tsembd.cuh
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unary.cu
ggml : add ggml_gelu_erf() CUDA kernel (#13719)
2025-05-24 13:06:47 +02:00
unary.cuh
ggml : add ggml_gelu_erf() CUDA kernel (#13719)
2025-05-24 13:06:47 +02:00
upscale.cu
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611)
2025-03-30 10:59:38 +02:00
upscale.cuh
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vecdotq.cuh
CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014)
2025-04-22 21:27:40 +02:00
wkv.cu
llama: Add support for RWKV v7 architecture (#12412)
2025-03-18 07:27:50 +08:00
wkv.cuh
llama: Add support for RWKV v7 architecture (#12412)
2025-03-18 07:27:50 +08:00