llama.cpp

template-instances

…

vendors

hip : Add hipGraph and VMM support to ROCM (#11362 )

2025-01-25 00:02:23 +01:00

acc.cu

…

acc.cuh

…

arange.cu

…

arange.cuh

…

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

…

argsort.cuh

…

binbcast.cu

CPU/CUDA: fix (GQA) mul mat back, add CUDA support (#11380 )

2025-01-24 12:38:31 +01:00

binbcast.cuh

ggml/examples: add backend support for numerical optimization (ggml/949)

2024-09-20 21:15:05 +03:00

clamp.cu

…

clamp.cuh

…

CMakeLists.txt

cmake : enable warnings in llama (#10474 )

2024-11-26 14:18:08 +02:00

common.cuh

Hip: disable VMM on hip as it seams that it dosent work in some configurations (#11420 )

2025-01-25 21:01:12 +01:00

concat.cu

fix: add missing msg in static_assert (#11143 )

2025-01-08 20:03:28 +00:00

concat.cuh

…

conv-transpose-1d.cu

…

conv-transpose-1d.cuh

…

convert.cu

CUDA: add BF16 support (#11093 )

2025-01-06 02:33:52 +01:00

convert.cuh

…

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

cpy.cu

cuda: add q8_0->f32 cpy operation (#9571 )

2024-09-24 02:14:24 +02:00

cpy.cuh

increase cuda_cpy block size (ggml/996)

2024-10-26 10:33:56 +03:00

cross-entropy-loss.cu

CUDA: backwards pass for misc. ops, add tests (#11257 )

2025-01-16 16:43:38 +01:00

cross-entropy-loss.cuh

ggml/examples: add backend support for numerical optimization (ggml/949)

2024-09-20 21:15:05 +03:00

dequantize.cuh

…

diagmask.cu

…

diagmask.cuh

…

fattn-common.cuh

ggml : build backends as libraries (#10256 )

2024-11-14 18:04:35 +01:00

fattn-tile-f16.cu

ggml : build backends as libraries (#10256 )

2024-11-14 18:04:35 +01:00

fattn-tile-f16.cuh

…

fattn-tile-f32.cu

ggml : build backends as libraries (#10256 )

2024-11-14 18:04:35 +01:00

fattn-tile-f32.cuh

…

fattn-vec-f16.cuh

CUDA: remove unnecessary warp reduce in FA (ggml/1032)

2024-12-03 20:04:49 +02:00

fattn-vec-f32.cuh

CUDA: remove unnecessary warp reduce in FA (ggml/1032)

2024-12-03 20:04:49 +02:00

fattn-wmma-f16.cuh

ggml : build backends as libraries (#10256 )

2024-11-14 18:04:35 +01:00

fattn.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736 )

2024-12-10 18:23:24 +01:00

fattn.cuh

…

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: disable VMM on hip as it seams that it dosent work in some configurations (#11420 )

2025-01-25 21:01:12 +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

…

mma.cuh

CUDA: rename macros to avoid conflicts with WinAPI (#10736 )

2024-12-10 18:23:24 +01:00

mmq.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736 )

2024-12-10 18:23:24 +01:00

mmq.cuh

CUDA: rename macros to avoid conflicts with WinAPI (#10736 )

2024-12-10 18:23:24 +01:00

mmv.cu

CUDA: add BF16 support (#11093 )

2025-01-06 02:33:52 +01:00

mmv.cuh

CUDA: remove DMMV, consolidate F16 mult mat vec (#10318 )

2024-11-17 09:09:55 +01:00

mmvq.cu

rocBLAS: Avoid fp32->fp16->fp32 conversion on cdna (#11356 )

2025-01-24 17:50:49 +01:00

mmvq.cuh

…

norm.cu

CUDA: backwards pass for misc. ops, add tests (#11257 )

2025-01-16 16:43:38 +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

…

pad.cuh

…

pool2d.cu

…

pool2d.cuh

…

quantize.cu

cuda : optimize argmax (#10441 )

2024-11-21 18:18:50 +01:00

quantize.cuh

…

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

…

scale.cuh

…

softmax.cu

CUDA: backwards pass for misc. ops, add tests (#11257 )

2025-01-16 16:43:38 +01:00

softmax.cuh

CUDA: backwards pass for misc. ops, add tests (#11257 )

2025-01-16 16:43:38 +01:00

sum.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736 )

2024-12-10 18:23:24 +01:00

sum.cuh

tests: add gradient tests for all backends (ggml/932)

2024-09-08 11:05:55 +03:00

sumrows.cu

…

sumrows.cuh

…

tsembd.cu

…

tsembd.cuh

…

unary.cu

CUDA: backwards pass for misc. ops, add tests (#11257 )

2025-01-16 16:43:38 +01:00

unary.cuh

CUDA: backwards pass for misc. ops, add tests (#11257 )

2025-01-16 16:43:38 +01:00

upscale.cu

…

upscale.cuh

…

vecdotq.cuh

…

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