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History

Wenyong Huang 7be0d385a6 Implement SIMD latest opcodes and update LLVM to 13.0 (#758 ) Implement the latest SIMD opcodes and update LLVM 13.0, update the llvm build scripts, update the sample workloads‘ build scripts, and build customized wasi-sdk to build some workloads. Also refine the CI rules. Signed-off-by: Wenyong Huang <wenyong.huang@intel.com>		2021-09-17 19:12:57 +08:00
..
build.sh	Implement SIMD latest opcodes and update LLVM to 13.0 (#758 )	2021-09-17 19:12:57 +08:00
README.md	Implement SIMD latest opcodes and update LLVM to 13.0 (#758 )	2021-09-17 19:12:57 +08:00
tf_lite.patch	Enable multi-thread for tensorflow sample, update wasm-c-api document (#651 )	2021-06-14 08:58:32 +08:00

README.md

"tensorflow" sample introduction

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