This sample demonstrates how to build tensorflow into WebAssembly with emsdk toolchain and run it with iwasm. Please first install emsdk:

git clone https://github.com/emscripten-core/emsdk.git
cd emsdk
./emsdk install 2.0.26
./emsdk activate 2.0.26

And set up ensdk environment:

source emsdk_env.sh

Then run

./build.sh
# for linux platform, or
./build.sh --sgx
# for linux-sgx platform or
./build.sh --threads
# for multi-thread execution (on linux platform)

to build tensorflow and run it with iwasm, which basically contains the following steps:

• hack emcc to delete some objects in libc.a
• build tf-lite with emcc compiler
• build iwasm with pthread enable and include libiary under libc-emcc
• run benchmark model with iwasm: --max-secs 300: means the max training time cost is 5 minutes, you can adjust it by yourself