wasm-micro-runtime/samples/workload/tensorflow/README.md
Wenyong Huang 365ec6360b
Update build scripts and documents of workload samples for wasi-sdk-12.0 (#484)
Update the build scripts of sample workloads (meshoptimizer/bwa/wasm-av1) to use the wasi-sdk-12.0 firstly to build the workload and discard clang-11, as wasi-sdk-12 supports wasi, simd and pthread better. And update the related documents.
Also modify wasm mini loader to sync up with the change of wasm normal loader.

Signed-off-by: Wenyong Huang <wenyong.huang@intel.com>
2020-12-29 14:41:09 +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 latest
./emsdk activate latest
```
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
```
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