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

"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
Add tensorflow sample under samples/workload/tensorflow (#427) 2020-10-22 16:18:37 +08:00			`"tensorflow" sample introduction`
			`==============`
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
			`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):`
Add tensorflow sample under samples/workload/tensorflow (#427) 2020-10-22 16:18:37 +08:00			```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`
			```
Update build script to enable running tensorflow workload in linux-sgx (#435) 2020-10-29 11:33:49 +08:00			`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:`
Add tensorflow sample under samples/workload/tensorflow (#427) 2020-10-22 16:18:37 +08:00			`- 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`