Clarify MathDx usage with load_inline#517
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Summary
Clarify the existing Modal runner guidance: MathDx headers are already installed and exported through
CPLUS_INCLUDE_PATH, soload_inlineusers only need to put#include <cublasdx.hpp>incuda_sourcesrather thancpp_sources.Why
load_inlinecompilescpp_sourceswith the host C++ compiler andcuda_sourceswith NVCC. cuBLASDx belongs in the CUDA compilation unit; no additional Kernelbot image setting or submission compile flag is required.Impact
Comment-only change in
modal_runner.py. No dependency, image, example, or test changes, and no Modal image was deployed.Validation
uv run --extra dev ruff check src/runners/modal_runner.pygit diff --check