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R0CKSTAR 33983057d0
musa: Upgrade MUSA SDK version to rc4.0.1 and use mudnn::Unary::IDENTITY op to accelerate D2D memory copy (#13647) 
* musa: fix build warning (unused parameter)

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

* musa: upgrade MUSA SDK version to rc4.0.1

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

* musa: use mudnn::Unary::IDENTITY op to accelerate D2D memory copy

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

* Update ggml/src/ggml-cuda/cpy.cu

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

* musa: remove MUDNN_CHECK_GEN and use CUDA_CHECK_GEN instead in MUDNN_CHECK

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

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-05-21 09:58:49 +08:00
..
template-instances CUDA: FA support for Deepseek (Ampere or newer) (#13306) 2025-05-09 13:34:58 +02:00
vendors CUDA/HIP: Share the same unified memory allocation logic. (#12934) 2025-04-15 11:20:38 +02:00
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: FA support for Deepseek (Ampere or newer) (#13306) 2025-05-09 13:34:58 +02:00
common.cuh CUDA: FA support for Deepseek (Ampere or newer) (#13306) 2025-05-09 13:34:58 +02:00
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
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 non-cont. inputs for batched mat mul (#13155) 2025-04-29 16:00:27 +02:00
convert.cuh CUDA: fix non-cont. inputs for batched mat mul (#13155) 2025-04-29 16:00:27 +02:00
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.cu musa: Upgrade MUSA SDK version to rc4.0.1 and use mudnn::Unary::IDENTITY op to accelerate D2D memory copy (#13647) 2025-05-21 09:58:49 +08:00
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 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: faster Deepseek FA, add Turing support (#13435) 2025-05-14 16:08:20 +02:00
fattn-mma-f16.cuh musa: Upgrade MUSA SDK version to rc4.0.1 and use mudnn::Unary::IDENTITY op to accelerate D2D memory copy (#13647) 2025-05-21 09:58:49 +08:00
fattn-tile-f16.cu CUDA: FA support for Deepseek (Ampere or newer) (#13306) 2025-05-09 13:34:58 +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: FA support for Deepseek (Ampere or newer) (#13306) 2025-05-09 13:34:58 +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: skip fully masked-out KV in FA vec kernel (#13584) 2025-05-20 14:45:07 +02:00
fattn-vec-f32.cuh CUDA: skip fully masked-out KV in FA vec kernel (#13584) 2025-05-20 14:45:07 +02:00
fattn-wmma-f16.cu CUDA: FA support for Deepseek (Ampere or newer) (#13306) 2025-05-09 13:34:58 +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: faster Deepseek FA, add Turing support (#13435) 2025-05-14 16:08:20 +02:00
fattn.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
getrows.cu CUDA: fix crash on large batch size for MoE models (#13384) 2025-05-09 12:14:04 +02:00
getrows.cuh CUDA: batched+noncont MMQ, refactor bs>1 MoE code (#13199) 2025-04-30 23:12:59 +02:00
ggml-cuda.cu CUDA: faster Deepseek FA, add Turing support (#13435) 2025-05-14 16:08:20 +02:00
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 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 : remove nrows_x in mul_mat_q_process_tile (#13325) 2025-05-07 09:48:23 +02:00
mmv.cu CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014) 2025-04-22 21:27:40 +02:00
mmv.cuh CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (#13014) 2025-04-22 21:27:40 +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 llama: Add support for RWKV v7 architecture (#12412) 2025-03-18 07:27:50 +08:00
norm.cuh llama: Add support for RWKV v7 architecture (#12412) 2025-03-18 07:27:50 +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: 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
ssm-conv.cu fix MUSA compiler warning (#12704) 2025-04-03 09:32:55 +02:00
ssm-conv.cuh ggml : faster ssm scan (#10558) 2025-03-31 18:05:13 +02:00
ssm-scan.cu fix MUSA compiler warning (#12704) 2025-04-03 09:32:55 +02:00
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 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 musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (#12611) 2025-03-30 10:59:38 +02:00
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