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Use `docker exec` to run commands in the specified container.
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Query available hardware and obtain details about the device architecture to inform hardware aware implementations.
explore repositories under /reference/{repository_name}
Analyze a Hugging Face transformers model and implement its inference pipeline in SYCL. Use this skill whenever the task involves porting, implementing, or optimizing a transformers architecture (LLM, VLM, encoder, or any modality) as SYCL kernels or a SYCL runtime — including when the user mentions oneAPI, DPC++, Intel GPUs, Level Zero, a "custom inference engine", or asks to run a Hugging Face checkpoint without Python. Also use it at the start of such tasks to query the available hardware and device architecture so the implementation is hardware-aware from the beginning
Based on SOC occupation classification
| name | docker-exec |
| description | Use `docker exec` to run commands in the specified container. |
Use this container for all development and code changes; DO NOT run commands on the host.
docker exec arcaine-dev-run
docker exec -i arcaine-dev-1 sh -c 'cmake -B build -G Ninja \
-DCMAKE_CXX_COMPILER=icpx \
-DARCAINE_SYCL_TARGETS=intel_gpu_bmg_g31 && \
cmake --build build -j"$(nproc)"'