llama.cpp

mirror of https://github.com/RYDE-WORK/llama.cpp.git synced 2026-01-26 09:55:48 +08:00

History

* cuda : optimize argmax

* remove unused parameter

ggml-ci

* fixup : use full warps

ggml-ci

* Apply suggestions from code review

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* fix ub

* ggml : check ne00 <= INT32_MAX in argmax and argsort

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

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

template-instances

CUDA: MMQ code deduplication + iquant support (#8495 )

2024-07-20 22:25:26 +02:00

vendors

musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) (#9526 )

2024-09-22 16:55:49 +02:00

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

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

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

binbcast.cuh

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

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

clamp.cu

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

clamp.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

CMakeLists.txt

cuda : fix CUDA_FLAGS not being applied (#10403 )

2024-11-19 14:29:38 +01:00

common.cuh

cuda : optimize argmax (#10441 )

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

concat.cu

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

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

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

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

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

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

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

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

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

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

fattn-tile-f32.cu

ggml : build backends as libraries (#10256 )

2024-11-14 18:04:35 +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

ggml : build backends as libraries (#10256 )

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

fattn-vec-f32.cuh

ggml : build backends as libraries (#10256 )

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

fattn-wmma-f16.cuh

ggml : build backends as libraries (#10256 )

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

fattn.cu

metal : optimize FA kernels (#10171 )

2024-11-08 13:47:22 +02:00

fattn.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

getrows.cu

ggml : reduce hash table reset cost (#8698 )

2024-07-27 04:41:55 +02:00

getrows.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

ggml-cuda.cu

CUDA: fix MMV kernel being used for FP16 src1 (#10357 )

2024-11-17 23:20:42 +01:00

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 and refactor MMQ (#8416 )

2024-07-11 16:47:47 +02:00

mmq.cu

CUDA: fix MMQ for non-contiguous src0, add tests (#10021 )

2024-10-24 11:09:36 +02:00

mmq.cuh

ggml : build backends as libraries (#10256 )

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

mmv.cu

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

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

mmv.cuh

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

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

mmvq.cu

ggml : build backends as libraries (#10256 )

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

mmvq.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

norm.cu

ggml : add epsilon as a parameter for group_norm (#8818 )

2024-08-06 10:26:46 +03:00

norm.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

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

ggml : fix builds (#0 )

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

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

ggml : move rope type enum to ggml.h (#8949 )

2024-08-13 21:13:15 +02:00

rope.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

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

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

softmax.cuh

llama : reorganize source code + improve CMake (#8006 )

2024-06-26 18:33:02 +03:00

sum.cu

ggml : build backends as libraries (#10256 )

2024-11-14 18:04:35 +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

RWKV v6: RWKV_WKV op CUDA implementation (#9454 )

2024-09-22 04:29:12 +02:00

unary.cuh

RWKV v6: RWKV_WKV op CUDA implementation (#9454 )

2024-09-22 04:29:12 +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

Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133 )

2024-11-07 15:19:10 +08:00

wkv6.cuh

Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133 )

2024-11-07 15:19:10 +08:00