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wasm-micro-runtime/samples/workload/tensorflow
Wenyong Huang 8b96f4fb71
Update sample workload's scripts to align with latest emcc (#609)
And enable auxiliary stack overflow/underflow check in JIT mode
2021-04-13 13:42:08 +08:00
..
build.sh Update sample workload's scripts to align with latest emcc (#609) 2021-04-13 13:42:08 +08:00
README.md Update build scripts and documents of workload samples for wasi-sdk-12.0 (#484) 2020-12-29 14:41:09 +08:00
tf_lite.patch Fix interpreter not update memory size after call native func (#563) 2021-03-10 15:07:16 +08:00

"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 latest
./emsdk activate latest

And set up ensdk environment:

source emsdk_env.sh

Then run

./build.sh
# for linux platform, or
./build.sh --sgx
# for linux-sgx 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 by yourself