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llama.cpp/ggml/src/ggml-cuda
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uvos 34c961b181 CUDA/HIP: Fix fattn-vec-* when device warp size is not 32 (#12315) 
When fattn-wmma was ported over to warp64 various bits that also touch fattn-vec where converted to
selectable warp size, however the fattn-vec kernels dont work with 64 wide warps for now, so we need
to avoid launching them with parameters for warp64
2025-03-12 10:14:11 +01:00
..
template-instances
CUDA: optimize FA for GQA + large batches (#12014)
2025-02-22 12:20:17 +01:00
vendors
CUDA/HIP: add support for selectable warp size to mmv (#11519)
2025-02-02 22:40:09 +01:00
acc.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
acc.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
arange.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
arange.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
argmax.cu
cuda : optimize argmax (#10441)
2024-11-21 18:18:50 +01:00
argmax.cuh
ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
2024-10-03 21:17:26 +03:00
argsort.cu
ggml : reduce hash table reset cost (#8698)
2024-07-27 04:41:55 +02:00
argsort.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
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
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
clamp.cu
cuda: unary ops as float + de-duplicate (ggml/1130)
2025-03-03 18:18:11 +02:00
clamp.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
CMakeLists.txt
CUDA: compress mode option and default to size (#12029)
2025-03-01 12:57:22 +01:00
common.cuh
CUDA/HIP: refractor mmqv to unify the calculation of nwarps and rows per block between host and device code. (#12177)
2025-03-11 20:16:03 +01:00
concat.cu
fix: add missing msg in static_assert (#11143)
2025-01-08 20:03:28 +00:00
concat.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
conv-transpose-1d.cu
feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)
2024-07-08 12:23:00 +03:00
conv-transpose-1d.cuh
feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)
2024-07-08 12:23:00 +03:00
convert.cu
CUDA: use arch list for compatibility check (#11775)
2025-02-11 00:17:22 +01:00
convert.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
count-equal.cu
ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small (#10213)
2024-11-09 08:35:46 +01:00
count-equal.cuh
ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
2024-10-03 21:17:26 +03:00
cp-async.cuh
CUDA: optimize FA for GQA + large batches (#12014)
2025-02-22 12:20:17 +01:00
cpy.cu
cuda: Add Q5_1, Q5_0, Q4_1 and Q4_0 to F32 conversion support. (#12000)
2025-02-22 09:43:24 +01:00
cpy.cuh
increase cuda_cpy block size (ggml/996)
2024-10-26 10:33:56 +03:00
cross-entropy-loss.cu
MUSA: support ARM64 and enable dp4a .etc (#11843)
2025-02-21 09:46:23 +02:00
cross-entropy-loss.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
dequantize.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
diagmask.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
diagmask.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
fattn-common.cuh
CUDA/HIP: Fix fattn-vec-* when device warp size is not 32 (#12315)
2025-03-12 10:14:11 +01:00
fattn-mma-f16.cuh
CUDA: app option to compile without FlashAttention (#12025)
2025-02-22 20:44:34 +01:00
fattn-tile-f16.cu
CUDA: app option to compile without FlashAttention (#12025)
2025-02-22 20:44:34 +01:00
fattn-tile-f16.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
fattn-tile-f32.cu
CUDA: app option to compile without FlashAttention (#12025)
2025-02-22 20:44:34 +01:00
fattn-tile-f32.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
fattn-vec-f16.cuh
CUDA: app option to compile without FlashAttention (#12025)
2025-02-22 20:44:34 +01:00
fattn-vec-f32.cuh
CUDA: app option to compile without FlashAttention (#12025)
2025-02-22 20:44:34 +01:00
fattn-wmma-f16.cu
CUDA/HIP: Fix fattn-vec-* when device warp size is not 32 (#12315)
2025-03-12 10:14:11 +01:00
fattn-wmma-f16.cuh
CUDA: use mma PTX instructions for FlashAttention (#11583)
2025-02-02 19:31:09 +01:00
fattn.cu
CUDA: fix FA logic for PTX 7.0 and CC >= 7.5 (#12222)
2025-03-06 18:45:09 +01:00
fattn.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
getrows.cu
CUDA: backwards pass for misc. ops, add tests (#11257)
2025-01-16 16:43:38 +01:00
getrows.cuh
CUDA: backwards pass for misc. ops, add tests (#11257)
2025-01-16 16:43:38 +01:00
ggml-cuda.cu
HIP/CUDA: set the paramerter value in maintain_cuda_graph instead of replaceing it. (#12209)
2025-03-06 08:20:52 +01:00
gla.cu
llama: add support for QRWKV6 model architecture (#11001)
2025-01-10 09:58:08 +08:00
gla.cuh
llama: add support for QRWKV6 model architecture (#11001)
2025-01-10 09:58:08 +08:00
im2col.cu
CUDA: fix 1D im2col, add tests (ggml/993)
2024-10-23 16:50:02 +03:00
im2col.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
mma.cuh
CUDA: optimize FA for GQA + large batches (#12014)
2025-02-22 12:20:17 +01:00
mmq.cu
HIP: Remove GCN from list of devices that avoid MMQ (#11831)
2025-02-12 22:25:28 +01:00
mmq.cuh
CUDA: fix logic for V100 + GGML_CUDA_FORCE_MMQ (#12098)
2025-02-28 09:26:43 +01:00
mmv.cu
CUDA: support for mat. mul. with ne03 != ne13 (#11656)
2025-02-05 08:58:31 +01:00
mmv.cuh
CUDA: remove DMMV, consolidate F16 mult mat vec (#10318)
2024-11-17 09:09:55 +01:00
mmvq.cu
CUDA/HIP: refractor mmqv to unify the calculation of nwarps and rows per block between host and device code. (#12177)
2025-03-11 20:16:03 +01:00
mmvq.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
norm.cu
CUDA: non-contiguous (RMS) norm support (#11659)
2025-02-04 22:21:42 +01:00
norm.cuh
CUDA: backwards pass for misc. ops, add tests (#11257)
2025-01-16 16:43:38 +01:00
opt-step-adamw.cu
ggml: new optimization interface (ggml/988)
2024-11-17 08:30:29 +02:00
opt-step-adamw.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
out-prod.cu
CPU/CUDA: fix (GQA) mul mat back, add CUDA support (#11380)
2025-01-24 12:38:31 +01:00
out-prod.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
pad.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
pad.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
pool2d.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
pool2d.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
quantize.cu
cuda : optimize argmax (#10441)
2024-11-21 18:18:50 +01:00
quantize.cuh
CUDA: optimize and refactor MMQ (#8416)
2024-07-11 16:47:47 +02:00
rope.cu
CUDA: backwards pass for misc. ops, add tests (#11257)
2025-01-16 16:43:38 +01:00
rope.cuh
RoPE: fix back, CUDA support for back + noncont. (#11240)
2025-01-15 12:51:37 +01:00
scale.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
scale.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
softmax.cu
HIP: fix flash_attn_stream_k_fixup warning (#11604)
2025-02-02 23:48:29 +01:00
softmax.cuh
CUDA: backwards pass for misc. ops, add tests (#11257)
2025-01-16 16:43:38 +01:00
sum.cu
CUDA: fix CUDART_VERSION checks (#11821)
2025-02-12 13:16:39 +01:00
sum.cuh
tests: add gradient tests for all backends (ggml/932)
2024-09-08 11:05:55 +03:00
sumrows.cu
sync : ggml
2024-08-27 22:41:27 +03:00
sumrows.cuh
sync : ggml
2024-08-27 22:41:27 +03:00
tsembd.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
tsembd.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
unary.cu
cuda: unary ops as float + de-duplicate (ggml/1130)
2025-03-03 18:18:11 +02:00
unary.cuh
cuda/cpu: Increase support for fp16 unary operations (ggml/1125)
2025-03-03 18:18:11 +02:00
upscale.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
upscale.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
vecdotq.cuh
CUDA: MMQ code deduplication + iquant support (#8495)
2024-07-20 22:25:26 +02:00
wkv6.cu
llama: add support for QRWKV6 model architecture (#11001)
2025-01-10 09:58:08 +08:00
wkv6.cuh
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133)
2024-11-07 15:19:10 +08:00