llama.cpp

acc.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

acc.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

arange.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

arange.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

argsort.cu

ggml : mul_mat_id use the same tensor for all the experts (#6387 )

2024-04-03 16:07:05 +03:00

argsort.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

binbcast.cu

ggml : group all experts in a single ggml_mul_mat_id (#6505 )

2024-04-18 15:18:48 +02:00

binbcast.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

clamp.cu

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

clamp.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

common.cuh

CUDA: add FP32 FlashAttention vector kernel (#7188 )

2024-05-12 19:40:45 +02:00

concat.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

concat.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

convert.cu

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

convert.cuh

llama : add Command R Plus support (#6491 )

2024-04-09 11:16:13 +03:00

cpy.cu

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

cpy.cuh

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

dequantize.cuh

llama : add Command R Plus support (#6491 )

2024-04-09 11:16:13 +03:00

diagmask.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

diagmask.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

dmmv.cu

llama : add Command R Plus support (#6491 )

2024-04-09 11:16:13 +03:00

dmmv.cuh

sync : ggml (#6351 )

2024-03-29 17:45:46 +02:00

fattn-common.cuh

CUDA: add FP32 FlashAttention vector kernel (#7188 )

2024-05-12 19:40:45 +02:00

fattn-tile-f16.cu

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn-tile-f16.cuh

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn-tile-f32.cu

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn-tile-f32.cuh

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn-vec-f16.cu

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn-vec-f16.cuh

CUDA: add FP32 FlashAttention vector kernel (#7188 )

2024-05-12 19:40:45 +02:00

fattn-vec-f32.cu

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn-vec-f32.cuh

CUDA: add FP32 FlashAttention vector kernel (#7188 )

2024-05-12 19:40:45 +02:00

fattn.cu

CUDA: faster large batch FA without tensor cores (#7314 )

2024-05-17 18:54:52 +02:00

fattn.cuh

ggml : add Flash Attention (#5021 )

2024-04-30 12:16:08 +03:00

getrows.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

getrows.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

im2col.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

im2col.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

mmq.cu

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

mmq.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

mmvq.cu

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

mmvq.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

norm.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

norm.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

pad.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

pad.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

pool2d.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

pool2d.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

quantize.cu

llama : add Command R Plus support (#6491 )

2024-04-09 11:16:13 +03:00

quantize.cuh

llama : add Command R Plus support (#6491 )

2024-04-09 11:16:13 +03:00

rope.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

rope.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

scale.cu

Introduction of CUDA Graphs to LLama.cpp (#6766 )

2024-05-08 22:55:49 +02:00

scale.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

softmax.cu

ggml : full ALiBi support (#7192 )

2024-05-11 10:32:41 +03:00

softmax.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

sumrows.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

sumrows.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

tsembd.cu

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

tsembd.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

unary.cu

feat: implemented sigmoid function (ggml/806)

2024-05-11 15:38:34 +03:00

unary.cuh

feat: implemented sigmoid function (ggml/806)

2024-05-11 15:38:34 +03:00

upscale.cu

ggml : add ggml_upscale_ext (ggml/814)

2024-05-15 13:23:33 +03:00

upscale.cuh

cuda : refactor into multiple files (#6269 )

2024-03-25 13:50:23 +01:00

vecdotq.cuh

IQ1_M: 1.75 bpw quantization (#6302 )

2024-03-26 15:21:27 +01:00