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![Wenyong Huang](/assets/img/avatar_default.png)
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>
28 lines
924 B
Markdown
28 lines
924 B
Markdown
"tensorflow" sample introduction
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==============
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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):
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```bash
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git clone https://github.com/emscripten-core/emsdk.git
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cd emsdk
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./emsdk install latest
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./emsdk activate latest
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```
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And set up ensdk environment:
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```bash
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source emsdk_env.sh
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```
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Then run
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```bash
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./build.sh
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# for linux platform, or
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./build.sh --sgx
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# for linux-sgx platform
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```
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to build tensorflow and run it with iwasm, which basically contains the following steps:
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- hack emcc to delete some objects in libc.a
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- build tf-lite with emcc compiler
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- build iwasm with pthread enable and include libiary under libc-emcc
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- run benchmark model with iwasm:
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--max-secs 300: means the max training time cost is 5 minutes, you can adjust by yourself
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