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wasm-micro-runtime/samples/workload/tensorflow/README.md
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

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"tensorflow" sample introduction
==============
This sample demonstrates how to build [tensorflow](https://github.com/tensorflow/tensorflow) into WebAssembly with emsdk toolchain and run it with iwasm. Please first install [emsdk](https://github.com/emscripten-core/emsdk):
```bash
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:
```bash
source emsdk_env.sh
```
Then run
```bash
./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