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Use comma-separated values like the rest of the project, keeping the padded, aligned columns. Split on ',' and trim on parse. Rename the committed baseline to MTL.csv (data unchanged, verified identical modulo padding/separator). Update the ci/run.sh check path accordingly. Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-0731
CI
This CI implements heavy-duty workflows that run on self-hosted runners. Typically the purpose of these workflows is to cover hardware configurations that are not available from Github-hosted runners and/or require more computational resource than normally available.
It is a good practice, before publishing changes to execute the full CI locally on your machine. For example:
mkdir tmp
# CPU-only build
bash ./ci/run.sh ./tmp/results ./tmp/mnt
# with CUDA support
GG_BUILD_CUDA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
# with SYCL support
source /opt/intel/oneapi/setvars.sh
GG_BUILD_SYCL=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
# with MUSA support
GG_BUILD_MUSA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
# etc.
Adding self-hosted runners
- Add a self-hosted
ggml-ciworkflow to .github/workflows/build.yml with an appropriate label - Request a runner token from
ggml-org(for example, via a comment in the PR or email) - Set-up a machine using the received token (docs)
- Optionally update ci/run.sh to build and run on the target platform by gating the implementation with a
GG_BUILD_...env