R0CKSTAR 3f4fc97f1d musa: upgrade musa sdk to rc4.2.0 (#14498) ...

* musa: apply mublas API changes

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: update musa version to 4.2.0

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: restore MUSA graph settings in CMakeLists.txt

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: disable mudnnMemcpyAsync by default

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: switch back to non-mudnn images

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* minor changes

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: restore rc in docker image tag

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

2025-07-24 20:05:37 +01:00

..

template-instances

CUDA: FA support for Deepseek (Ampere or newer) (#13306)

2025-05-09 13:34:58 +02:00

vendors

musa: upgrade musa sdk to rc4.2.0 (#14498)

2025-07-24 20:05:37 +01:00

acc.cu

llama/ggml: add LLM training support (#10544)

2025-05-12 14:44:49 +02:00

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: remove linking to cublasLt (#14790)

2025-07-22 07:45:26 +08:00

common.cuh

musa: upgrade musa sdk to rc4.2.0 (#14498)

2025-07-24 20:05:37 +01:00

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

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

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

conv2d-dw.cu

CUDA: add conv_2d_dw (#14265)

2025-06-20 09:50:24 +08:00

conv2d-dw.cuh

CUDA: add conv_2d_dw (#14265)

2025-06-20 09:50:24 +08:00

conv2d-transpose.cu

CUDA: add conv_2d_transpose (#14287)

2025-06-20 22:48:24 +08:00

conv2d-transpose.cuh

CUDA: add conv_2d_transpose (#14287)

2025-06-20 22:48:24 +08:00

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

feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)

2024-07-08 12:23:00 +03:00

convert.cu

CUDA: fix compilation with GGML_CUDA_F16 (#14837)

2025-07-23 18:22:30 +02:00

convert.cuh

CUDA: add bf16 and f32 support to cublas_mul_mat_batched (#14361)

2025-06-29 01:30:53 +08:00

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: FA support for Deepseek (Ampere or newer) (#13306)

2025-05-09 13:34:58 +02:00

cpy-utils.cuh

cuda : implement bf16 cpy ops and enable bf16 cont (#14763)

2025-07-22 12:33:10 +02:00

cpy.cu

musa: upgrade musa sdk to rc4.2.0 (#14498)

2025-07-24 20:05:37 +01:00

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

CUDA: add dynamic shared mem to softmax, refactor general usage (#14497)

2025-07-03 07:45:11 +08:00

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: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-mma-f16.cuh

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-tile-f16.cu

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-tile-f16.cuh

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

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

fattn-tile-f32.cu

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-tile-f32.cuh

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

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

fattn-vec-f16.cuh

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-vec-f32.cuh

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-wmma-f16.cu

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn-wmma-f16.cuh

CUDA: use mma PTX instructions for FlashAttention (#11583)

2025-02-02 19:31:09 +01:00

fattn.cu

CUDA: fix overflow in FA, tune performance (#14840)

2025-07-23 21:43:25 +02:00

fattn.cuh

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

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

getrows.cu

CUDA: add bf16 and i32 to getrows (#14529)

2025-07-07 21:45:43 +08:00

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 fused rms norm (#14800)

2025-07-23 09:25:42 +08:00

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

vulkan/cuda: Fix im2col when KW!=KH (#14789)

2025-07-21 13:35:40 +02:00

im2col.cuh

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

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

mean.cu

CUDA: add mean operation (#14313)

2025-06-22 12:39:54 +08:00

mean.cuh

CUDA: add mean operation (#14313)

2025-06-22 12:39:54 +08:00

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: add dynamic shared mem to softmax, refactor general usage (#14497)

2025-07-03 07:45:11 +08:00

mmv.cu

CUDA/HIP: optimize mmv paths taken for HIP devices (#14324)

2025-06-24 01:12:56 +02:00

mmv.cuh

CUDA: mul_mat_v support for batch sizes > 1 (#14262)

2025-06-23 13:11:31 +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

CUDA: add fused rms norm (#14800)

2025-07-23 09:25:42 +08:00

norm.cuh

CUDA: add fused rms norm (#14800)

2025-07-23 09:25:42 +08:00

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

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

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: 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

cuda : fix rope with partial rotation and non-cont src (#14580)

2025-07-08 10:15:21 +03:00

rope.cuh

RoPE: fix back, CUDA support for back + noncont. (#11240)

2025-01-15 12:51:37 +01:00

scale.cu

ggml : add ggml_scale_bias (#14417)

2025-07-09 18:16:12 +02:00

scale.cuh

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

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

set-rows.cu

cuda : implement bf16 cpy ops and enable bf16 cont (#14763)

2025-07-22 12:33:10 +02:00

set-rows.cuh

CUDA: add set rows for f32 and f16 (#14551)

2025-07-12 16:31:38 +03:00

softmax.cu

CUDA: add dynamic shared mem to softmax, refactor general usage (#14497)

2025-07-03 07:45:11 +08:00

softmax.cuh

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

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

ssm-conv.cu

model : support LiquidAI LFM2 hybrid family (#14620)

2025-07-11 20:27:01 +02:00

ssm-conv.cuh

ggml : faster ssm scan (#10558)

2025-03-31 18:05:13 +02:00

ssm-scan.cu

cuda : support Falcon-H1 state size for SSM_SCAN (#14602)

2025-07-09 23:54:38 -04:00

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

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

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

sumrows.cu

CUDA: add mean operation (#14313)

2025-06-22 12:39:54 +08:00

sumrows.cuh

CUDA: add mean operation (#14313)

2025-06-22 12:39:54 +08:00

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 : add ELU support (#14657)

2025-07-13 11:33:16 +02:00

unary.cuh

cuda : add ELU support (#14657)

2025-07-13 11:33:16 +02:00

upscale.cu

CUDA: add bilinear interpolation for upscale (#14563)

2025-07-08 10:11:18 +08:00

upscale.cuh

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

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

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