-
Notifications
You must be signed in to change notification settings - Fork 12.5k
musa: upgrade musa sdk to rc4.2.0 #14498
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
esrakorkmz
approved these changes
Jul 3, 2025
39146cc
to
314e40d
Compare
314e40d
to
1bf073d
Compare
1bf073d
to
9e7ccf3
Compare
1945505
to
01b1163
Compare
Signed-off-by: Xiaodong Ye <[email protected]>
Signed-off-by: Xiaodong Ye <[email protected]>
Signed-off-by: Xiaodong Ye <[email protected]>
Signed-off-by: Xiaodong Ye <[email protected]>
Signed-off-by: Xiaodong Ye <[email protected]>
Signed-off-by: Xiaodong Ye <[email protected]>
Signed-off-by: Xiaodong Ye <[email protected]>
648aacd
to
82aaeba
Compare
This was referenced Jul 24, 2025
ggerganov
approved these changes
Jul 24, 2025
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
ci
change is OK
ericcurtin
approved these changes
Jul 24, 2025
taronaeo
pushed a commit
to taronaeo/llama.cpp-s390x
that referenced
this pull request
Jul 25, 2025
* musa: apply mublas API changes Signed-off-by: Xiaodong Ye <[email protected]> * musa: update musa version to 4.2.0 Signed-off-by: Xiaodong Ye <[email protected]> * musa: restore MUSA graph settings in CMakeLists.txt Signed-off-by: Xiaodong Ye <[email protected]> * musa: disable mudnnMemcpyAsync by default Signed-off-by: Xiaodong Ye <[email protected]> * musa: switch back to non-mudnn images Signed-off-by: Xiaodong Ye <[email protected]> * minor changes Signed-off-by: Xiaodong Ye <[email protected]> * musa: restore rc in docker image tag Signed-off-by: Xiaodong Ye <[email protected]> --------- Signed-off-by: Xiaodong Ye <[email protected]>
gabe-l-hart
added a commit
to gabe-l-hart/llama.cpp
that referenced
this pull request
Jul 25, 2025
* origin/master: docs : update HOWTO‑add‑model.md for ModelBase and new model classes (ggml-org#14874) ggml : remove invalid portPos specifiers from dot files (ggml-org#14838) context : restore preemptive sched reset when LLAMA_SET_ROWS=0 (ggml-org#14870) mtmd : fix 32-bit narrowing issue in export-lora and mtmd clip (ggml-org#14503) rpc : check for null buffers in get/set/copy tensor endpoints (ggml-org#14868) sched : fix multiple evaluations of the same graph with pipeline parallelism (ggml-org#14855) musa: upgrade musa sdk to rc4.2.0 (ggml-org#14498) sync : ggml cmake : fix usage issues (ggml/1257) ggml-cpu : remove stdlib include from repack.cpp (ggml/1276) context : perform output reorder lazily upon access after sync (ggml-org#14853) chat : fix kimi-k2 chat template (ggml-org#14852) sycl: fixed semantics of block offset calculation (ggml-org#14814) llama : fix MiniCPM inference after Granite Four changes (ggml-org#14850) docs: add libcurl-dev install hint for Linux distros (ggml-org#14801) metal : fix fusion across different encoders (ggml-org#14849) sycl: fix undefined variable in work group size check (ggml-org#14843) convert : text-only support for GLM-4.1V-9B-Thinking (ggml-org#14823) CUDA: fix overflow in FA, tune performance (ggml-org#14840) CUDA: fix compilation with GGML_CUDA_F16 (ggml-org#14837)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Labels
devops
improvements to build systems and github actions
documentation
Improvements or additions to documentation
ggml
changes relating to the ggml tensor library for machine learning
Nvidia GPU
Issues specific to Nvidia GPUs
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Make sure to read the contributing guidelines before submitting a PR
This PR upgrades the MUSA SDK from
rc4.0.1
torc4.2.0
.Key updates
rc4.2.0
and switch back to non-muDNN variantGGML_MUSA_GRAPHS
for enabling MUSA graphs andGGML_MUSA_MUDNN_COPY
for enabling muDNN copy accelerationWhy disable muDNN by default
Although enabling muDNN can accelerate contiguous device memory copies, MUSA SDK
rc4.2.0
no longer includes the fat binary and instead provides per-architecture binaries. Additionally, the performance ofmusaMemcpyAsync
has been improved in this release, making the performance gap minimal.Testing Done
test-backend-ops
passed.All Docker builds passed.
Verified the server image works as expected.
docker run -p 8080:8080 -it -v ~/models:/models local/llama.cpp:server-musa -m /models/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf -ngl 999
Local build with
-DGGML_MUSA_GRAPHS=ON
succeeded.root@7bd6a1e5dcc0:/ws# cmake -B build -DGGML_MUSA=ON -DMUSA_ARCHITECTURES=21 -DGGML_MUSA_GRAPHS=ON root@7bd6a1e5dcc0:/ws# cmake --build build -j $(nproc) --config Release
Local build with
-DGGML_MUSA_MUDNN_COPY=ON
also succeeded when using the muDNN Docker image (as expected, it would fail with the non-muDNN variant).root@7bd6a1e5dcc0:/ws# cmake -B build -DGGML_MUSA=ON -DMUSA_ARCHITECTURES=21 -DGGML_MUSA_MUDNN_COPY=ON root@7bd6a1e5dcc0:/ws# cmake --build build -j $(nproc) --config Release