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Please follow this tutorial to build and test WasmEdge on s390x hardware from source code.
git clone https://github.com/WasmEdge/WasmEdge.gitWasmEdge requires LLVM 18 at least and you may need to install the following dependencies yourself.
:::note As Ubuntu 22.04 and previous versions of Ubuntu do not include the llvm-18 package, you can instead use the official llvm repository to install llvm-18.
wget https://apt.llvm.org/llvm.sh
chmod +x llvm.sh
sudo ./llvm.sh 18:::
sudo apt-get update
sudo apt install -y software-properties-common cmake gcc g++
sudo apt install -y llvm-18-dev liblld-18-devPlease refer to here for the descriptions of all CMake options.
cd WasmEdge
mkdir -p build && cd build
cmake -DCMAKE_BUILD_TYPE=Release .. && make -jThe following tests are available only when the build option WASMEDGE_BUILD_TESTS is set to ON.
Users can use these tests to verify the correctness of WasmEdge binaries.
cd <path/to/wasmedge/build_folder>
LD_LIBRARY_PATH=$(pwd)/lib/api ctestCurrently, the WASI-NN plugin is supported on s390x, using the GGML backend. Building the plugin with BLAS support is recommended. to build the plugin with BLAS support, first install the OpenBLAS library:
sudo apt install libopenblas-devThen, build WasmEdge with the following commands:
cd <path/to/wasmedge/build_folder>
make -DCMAKE_BUILD_TYPE=Release -DWASMEDGE_BUILD_PLUGINS=ON -DWASMEDGE_PLUGIN_WASI_NN_BACKEND="GGML" -DWASMEDGE_PLUGIN_WASI_NN_GGML_LLAMA_BLAS=ON ..A guide on converting models to big endian is available at https://github.com/ggml-org/llama.cpp/blob/master/docs/build-s390x.md#getting-gguf-models