This project contains the compiler and runtime plugins enabling specialized targeting of the OpenXLA platform to NVIDIA GPUs. It builds on top of the core IREE toolkit.
The project can be built either as part of IREE by manually specifying
plugin paths via -DIREE_COMPILER_PLUGIN_PATHS, or for development tailored
to NVIDIA GPUs specifically, can be built directly:
cmake -GNinja -B build/ -S . \
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
-DIREE_ENABLE_ASSERTIONS=ON \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-DIREE_ENABLE_LLD=ON
# Recommended:
# -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache
Note that you will need a check-out of the IREE codebase in ../iree relative
to the directory where the openxla-nvgpu compiler was checked out. Refer to
the IREE getting
started
guide for details of how to set this up.
You must have a CUDA Toolkit installed together with a cuDNN (see instructions).
On Linux platform path to libcudnn.so should be added to LD_LIBRARY_PATH.
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/lib64
Some of the tests can run only on an Ampere+ devices because they rely on the cuDNN runtime fusion engine.
cmake --build build
ctest --test-dir build -R openxla/runtime/nvgpu/cudnn/test/