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Update the plugin docs for the new plugins. (#118)
Signed-off-by: YiYing He <[email protected]>
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docs/contribute/plugin/intro.md

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@@ -26,16 +26,18 @@ There are several plug-in releases with the WasmEdge official releases. Please c
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| Plug-in | Rust Crate | Released Platforms | Build Steps |
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| --- | --- | --- | --- |
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| WasmEdge-Process | [wasmedge_process_interface][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.0`) | [Default](/contribute/source/os/linux) |
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| [WASI-Crypto] | [wasi-crypto][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.1`) | [Build With WASI-Crypto](/contribute/source/plugin/wasi_crypto) |
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| [WASI-NN with OpenVINO backend](/develop/rust/ai_inference/openvino) | [wasi-nn][] | `ubuntu 20.04 x86_64` (since `0.10.1`) | [Build With WASI-NN](/contribute/source/plugin/was_nn#get-wasmedge-with-wasi-nn-plug-in-openvino-backend) |
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| [WASI-NN with PyTorch backend](/develop/rust/ai_inference/pytorch) | [wasi-nn][] | `ubuntu 20.04 x86_64` (since `0.11.1`) | [Build With WASI-NN](/contribute/source/plugin/was_nn#build-wasmedge-with-wasi-nn-pytorch-backend) |
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| [WASI-NN with TensorFlow-Lite backend](/develop/rust/ai_inference/pytorch) | [wasi-nn][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.11.2`) | [Build With WASI-NN](/contribute/source/plugin/was_nn#build-wasmedge-with-wasi-nn-tensorflow-lite-backend) |
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| [WasmEdge-HttpsReq] | [wasmedge_http_req][] | `manylinux2014 x86_64`, and `manylinux2014 aarch64` (since `0.11.1`) | [Build With WasmEdge-HttpsReq](/contribute/source/plugin/httpsreq) |
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| WasmEdge-Process | [wasmedge_process_interface][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.0`) | [Build Wtih WasmEdge-Process](/contribute/source/plugin/process) |
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| [WASI-Crypto][] | [wasi-crypto][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.1`) | [Build With WASI-Crypto](/contribute/source/plugin/wasi_crypto) |
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| [WASI-NN with OpenVINO backend](/develop/rust/ai_inference/openvino) | [wasi-nn][] | `ubuntu 20.04 x86_64` (since `0.10.1`) | [Build With WASI-NN](/contribute/source/plugin/wasi_nn#get-wasmedge-with-wasi-nn-plug-in-openvino-backend) |
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| [WASI-NN with PyTorch backend](/develop/rust/ai_inference/pytorch) | [wasi-nn][] | `ubuntu 20.04 x86_64` (since `0.11.1`) | [Build With WASI-NN](/contribute/source/plugin/wasi_nn#build-wasmedge-with-wasi-nn-pytorch-backend) |
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| [WASI-NN with TensorFlow-Lite backend](/develop/rust/ai_inference/pytorch) | [wasi-nn][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.11.2`) | [Build With WASI-NN](/contribute/source/plugin/wasi_nn#build-wasmedge-with-wasi-nn-tensorflow-lite-backend) |
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| WasmEdge-Image | [wasmedge_tensorflow_interface][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Build With WasmEdge-Image](/contribute/source/plugin/image) |
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| WasmEdge-Tensorflow | [wasmedge_tensorflow_interface][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Build With WasmEdge-Tensorflow](/contribute/source/plugin/tensorflow) |
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| WasmEdge-TensorflowLite | [wasmedge_tensorflow_interface][] | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Build With WasmEdge-TensorflowLite](/contribute/source/plugin/tensorflowlite) |
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> Due to the `OpenVINO` and `PyTorch` dependencies, we only release the WASI-NN plug-in on `Ubuntu 20.04 x86_64` now. We'll work with `manylinux2014` versions in the future.
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> Due to the `OpenVINO` dependency, we only release the WASI-NN plug-in for the `OpenVINO` backend on `Ubuntu 20.04 x86_64` now. We'll work with `manylinux2014` versions in the future.
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[wasmedge_process_interface]: https://crates.io/crates/wasmedge_process_interface
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[wasmedge_tensorflow_interface]: https://crates.io/crates/wasmedge_tensorflow_interface
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[wasi-crypto]: https://crates.io/crates/wasi-crypto
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[wasi-nn]: https://crates.io/crates/wasi-nn
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[wasmedge_http_req]: https://crates.io/crates/wasmedge_http_req

docs/contribute/source/build_from_src.md

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- [seL4](../source/os/sel4)
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- [Raspberry Pi](../source/os/raspberrypi.md)
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> If you just want the latest builds from the `HEAD` of the `master` branch, and do not want to build it yourself, you can download the release package directly from our Github Action's CI artifact. [Here is an example](https://github.com/WasmEdge/WasmEdge/actions/runs/1521549504#artifacts).
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<!-- prettier-ignore -->
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:::note
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If you just want the latest builds from the `HEAD` of the `master` branch, and do not want to build it yourself, you can download the release package directly from our Github Action's CI artifact. [Here is an example](https://github.com/WasmEdge/WasmEdge/actions/runs/1521549504#artifacts).
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:::
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## What Will Be Built
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- If this option and the option `WASMEDGE_LINK_TOOLS_STATIC` are both set as `ON`, the `WASMEDGE_LINK_LLVM_STATIC` and `WASMEDGE_BUILD_STATIC_LIB` will both be set as `ON`, and the `wasmedge` and `wasmedgec` tools will link to the WasmEdge static library instead. In this case, the plugins will not work in tools.
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6. `WASMEDGE_BUILD_PLUGINS`: build the WasmEdge plugins. Default is `ON`.
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7. `WASMEDGE_BUILD_EXAMPLE`: build the WasmEdge examples. Default is `OFF`.
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8. `WASMEDGE_PLUGIN_WASI_NN_BACKEND`: build the WasmEdge WASI-NN plugin (Linux platforms only). Default is empty.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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- To build the WASI-NN plugin with backend, please use `-DWASMEDGE_PLUGIN_WASI_NN_BACKEND=<backend_name>`.
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- To build the WASI-NN plugin with multiple backends, please use `-DWASMEDGE_PLUGIN_WASI_NN_BACKEND=<backend_name1>,<backend_name2>`.
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9. `WASMEDGE_PLUGIN_WASI_CRYPTO`: build the WasmEdge WASI-Crypto plugin (Linux platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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10. `WASMEDGE_FORCE_DISABLE_LTO`: forcefully turn off the link time optimization. Default is `OFF`.
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11. `WASMEDGE_LINK_LLVM_STATIC`: link the LLVM and lld libraries statically (Linux and MacOS platforms only, experimental). Default is `OFF`.
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12. `WASMEDGE_LINK_TOOLS_STATIC`: make the `wasmedge` and `wasmedgec` tools to link the WasmEdge library and LLVM libraries statically (Linux and MacOS platforms only, experimental). Default is `OFF`.
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8. `WASMEDGE_FORCE_DISABLE_LTO`: forcefully turn off the link time optimization. Default is `OFF`.
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9. `WASMEDGE_LINK_LLVM_STATIC`: link the LLVM and lld libraries statically (Linux and MacOS platforms only). Default is `OFF`.
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10. `WASMEDGE_LINK_TOOLS_STATIC`: make the `wasmedge` and `wasmedgec` tools to link the WasmEdge library and LLVM libraries statically (Linux and MacOS platforms only). Default is `OFF`.
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- If the option `WASMEDGE_BUILD_TOOLS` and this option are both set as `ON`, the `WASMEDGE_LINK_LLVM_STATIC` will be set as `ON`.
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11. `WASMEDGE_ENABLE_UB_SANITIZER`: enable the undefined behavior sanitizer. Default is `OFF`.
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12. `WASMEDGE_PLUGIN_WASI_NN_BACKEND`: build the WasmEdge WASI-NN plugin (Linux platforms only). Default is empty.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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- To build the WASI-NN plugin with backend, please use `-DWASMEDGE_PLUGIN_WASI_NN_BACKEND=<backend_name>`.
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- To build the WASI-NN plugin with multiple backends, please use `-DWASMEDGE_PLUGIN_WASI_NN_BACKEND=<backend_name1>,<backend_name2>`.
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13. `WASMEDGE_PLUGIN_WASI_CRYPTO`: build the WasmEdge WASI-Crypto plugin (Linux and MacOS platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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14. `WASMEDGE_PLUGIN_WASI_LOGGING`: build the WasmEdge WASI-Logging plugin (Linux and MacOS platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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15. `WASMEDGE_PLUGIN_WASM_BPF`: build the WasmEdge wasm_bpf plugin (Linux platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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16. `WASMEDGE_PLUGIN_IMAGE`: build the WasmEdge image plugin (Linux and MacOS platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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17. `WASMEDGE_PLUGIN_TENSORFLOW`: build the WasmEdge TensorFlow plugin (Linux and MacOS platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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18. `WASMEDGE_PLUGIN_TENSORFLOWLITE`: build the WasmEdge TensorFlow-Lite plugin (Linux and MacOS platforms only). Default is `OFF`.
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- This option is useless if the option `WASMEDGE_BUILD_PLUGINS` is set as `OFF`.
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## Build WasmEdge with Plug-ins
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Developers can follow the steps to build WasmEdge with plug-ins from source.
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- [WASI-NN (OpenVINO and PyTorch backends)](../source/plugin/was_nn.md)
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- [WASI-NN (OpenVINO, PyTorch, or TensorFlow-Lite backends)](../source/plugin/wasi_nn.md)
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- [WASI-Crypto](../source/plugin/wasi_crypto.md)
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- [WasmEdge-HttpsReq](../source/plugin/httpsreq.md)
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- [WasmEdge-Image](../source/plugin/image.md)
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- [WasmEdge-TensorFlow](../source/plugin/tensorflow.md)
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- [WasmEdge-TensorFlowLite](../source/plugin/tensorflowlite.md)
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## Run Tests
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docs/contribute/source/os/macos.md

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Currently, WasmEdge project on MacOS supports both Intel and M1 models. However, we only test and develop on `Catalina`, `Big Sur`, and `Monterey`.
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- Model:
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- Intel
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- M1
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- Intel (x86_64)
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- M1, M2 (arm64)
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- Operating System
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- Ventura
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- Monterey
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- Catalina
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WasmEdge will try to use the latest LLVM release to create our nightly build. If you want to build from source, you may need to install these dependencies by yourself.
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- LLVM 14.0.1 (>= 10.0.0)
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- LLVM 16.0.4 (>= 10.0.0)
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```bash
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# Tools and libraries
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brew install boost cmake ninja llvm
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brew install cmake ninja llvm
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export LLVM_DIR="$(brew --prefix)/opt/llvm/lib/cmake"
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export CC=clang
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export CXX=clang++

docs/contribute/source/plugin/ebpf.md

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# Build with eBPF Plugin

docs/contribute/source/plugin/httpsreq.md

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# Build WasmEdge With WasmEdge-Image Plug-in
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## Prerequisites
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The prerequisites of the WasmEdge-Image plug-in is the same as the WasmEdge building environment on the [Linux platforms](../os/linux.md) or [MacOS platforms](../os/macos.md).
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If developers build with their own environment, please ensure the `zlib` are installed.
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```bash
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sudo apt update
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sudo apt install zlib1g-dev
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```
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On MacOS platforms, the `libjpeg` and `libpng` are required.
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```bash
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brew install jpeg-turbo libpng
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```
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## Build WasmEdge with WasmEdge-Image Plug-in
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To enable the WasmEdge WasmEdge-Image, developers need to [building the WasmEdge from source](../build_from_src.md) with the cmake option `-DWASMEDGE_PLUGIN_IMAGE=On`.
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```bash
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cd <path/to/your/wasmedge/source/folder>
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cmake -GNinja -Bbuild -DCMAKE_BUILD_TYPE=Release -DWASMEDGE_PLUGIN_IMAGE=On
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cmake --build build
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# For the WasmEdge-Image plugin, you should install this project.
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cmake --install build
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```
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<!-- prettier-ignore -->
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:::note
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If the built `wasmedge` CLI tool cannot find the WasmEdge-Image plug-in, you can set the `WASMEDGE_PLUGIN_PATH` environment variable to the plug-in installation path (such as `/usr/local/lib/wasmedge/`, or the built plug-in path `build/plugins/wasmedge_image/`) to try to fix this issue.
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:::
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Then you will have an executable `wasmedge` runtime under `/usr/local/bin` and the WasmEdge-Image plug-in under `/usr/local/lib/wasmedge/libwasmedgePluginWasmEdgeImage.so` after installation.
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# Build WasmEdge With WasmEdge-Process Plug-in
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## Build WasmEdge with WasmEdge-Process Plug-in
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To enable the WasmEdge WasmEdge-HttpsReq, developers need to [building the WasmEdge from source](../build_from_src.md) with the cmake option `-DWASMEDGE_PLUGIN_PROCESS=On`.
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To enable the WasmEdge WasmEdge-Process, developers need to [building the WasmEdge from source](../build_from_src.md) with the cmake option `-DWASMEDGE_PLUGIN_PROCESS=On`.
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cd <path/to/your/wasmedge/source/folder>
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mkdir -p build && cd build
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cmake -DCMAKE_BUILD_TYPE=Release -DWASMEDGE_PLUGIN_PROCESS=On .. && make -j
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# For the WasmEdge-HttpsReq plugin, you should install this project.
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cmake --install .
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cmake -GNinja -Bbuild -DCMAKE_BUILD_TYPE=Release -DWASMEDGE_PLUGIN_PROCESS=On
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cmake --build build
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# For the WasmEdge-Process plugin, you should install this project.
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cmake --install build
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> If the built `wasmedge` CLI tool cannot find the WasmEdge-Process plug-in, you can set the `WASMEDGE_PLUGIN_PATH` environment variable to the plug-in installation path (`/usr/local/lib/wasmedge/`, or the built plug-in path `build/plugins/wasmedge_process/`) to try to fix this issue.
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<!-- prettier-ignore -->
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:::note
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If the built `wasmedge` CLI tool cannot find the WasmEdge-Process plug-in, you can set the `WASMEDGE_PLUGIN_PATH` environment variable to the plug-in installation path (such as `/usr/local/lib/wasmedge/`, or the built plug-in path `build/plugins/wasmedge_process/`) to try to fix this issue.
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Then you will have an executable `wasmedge` runtime under `/usr/local/bin` and the WasmEdge-Process plug-in under `/usr/local/lib/wasmedge/libwasmedgePluginWasmEdgeProcess.so` after installation.

docs/contribute/source/plugin/rusttls.md

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# Build with Rusttls Plugin
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# Build WasmEdge With WasmEdge-Tensorflow Plug-in
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## Prerequisites
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The prerequisites of the WasmEdge-Tensorflow plug-in is the same as the WasmEdge building environment on the [Linux platforms](../os/linux.md) or [MacOS platforms](../os/macos.md).
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## Build WasmEdge with WasmEdge-Tensorflow Plug-in
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To enable the WasmEdge WasmEdge-Tensorflow, developers need to [building the WasmEdge from source](../build_from_src.md) with the cmake option `-DWASMEDGE_PLUGIN_TENSORFLOW=On`.
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```bash
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cd <path/to/your/wasmedge/source/folder>
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cmake -GNinja -Bbuild -DCMAKE_BUILD_TYPE=Release -DWASMEDGE_PLUGIN_TENSORFLOW=On
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cmake --build build
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# For the WasmEdge-Tensorflow plugin, you should install this project.
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cmake --install build
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```
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<!-- prettier-ignore -->
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:::note
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If the built `wasmedge` CLI tool cannot find the WasmEdge-Tensorflow plug-in, you can set the `WASMEDGE_PLUGIN_PATH` environment variable to the plug-in installation path (such as `/usr/local/lib/wasmedge/`, or the built plug-in path `build/plugins/wasmedge_tensorflow/`) to try to fix this issue.
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:::
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Then you will have an executable `wasmedge` runtime under `/usr/local/bin` and the WasmEdge-Tensorflow plug-in under `/usr/local/lib/wasmedge/libwasmedgePluginWasmEdgeTensorflow.so` after installation.
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## Install the TensorFlow Dependency
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Installing the necessary `libtensorflow_cc.so` and `libtensorflow_framework.so` on both `Linux` and `MacOS` platforms, we recommend the following commands:
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```bash
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curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.12.0-CC/WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
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# For the Linux aarch64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_aarch64.tar.gz`.
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# For the MacOS x86_64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-darwin_x86_64.tar.gz`.
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# For the MacOS arm64 platforms, please use the `WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-darwin_arm64.tar.gz`.
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tar -zxf WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
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rm -f WasmEdge-tensorflow-deps-TF-TF-2.12.0-CC-manylinux2014_x86_64.tar.gz
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```
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The shared library will be extracted in the current directory `./libtensorflow_cc.so.2.12.0` and `./libtensorflow_framework.so.2.12.0` on `Linux` platforms, or `./libtensorflow_cc.2.12.0.dylib` and `./libtensorflow_framework.2.12.0.dylib` on `MacOS` platforms.
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<!-- prettier-ignore -->
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:::note
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After building the plug-in, you can also find these shared libraries under the `build/_deps/wasmedge_tensorflow_lib_tf-src/` directory.
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:::
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Then you can move the library to the installation path and create the symbolic link:
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```bash
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mv libtensorflow_cc.so.2.12.0 /usr/local/lib
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mv libtensorflow_framework.so.2.12.0 /usr/local/lib
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ln -s libtensorflow_cc.so.2.12.0 /usr/local/lib/libtensorflow_cc.so.2
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ln -s libtensorflow_cc.so.2 /usr/local/lib/libtensorflow_cc.so
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ln -s libtensorflow_framework.so.2.12.0 /usr/local/lib/libtensorflow_framework.so.2
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ln -s libtensorflow_framework.so.2 /usr/local/lib/libtensorflow_framework.so
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```
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If on `MacOS` platforms:
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mv libtensorflow_cc.2.12.0.dylib /usr/local/lib
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mv libtensorflow_framework.2.12.0.dylib /usr/local/lib
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ln -s libtensorflow_cc.2.12.0.dylib /usr/local/lib/libtensorflow_cc.2.dylib
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ln -s libtensorflow_cc.2.dylib /usr/local/lib/libtensorflow_cc.dylib
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ln -s libtensorflow_framework.2.12.0.dylib /usr/local/lib/libtensorflow_framework.2.dylib
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ln -s libtensorflow_framework.2.dylib /usr/local/lib/libtensorflow_framework.dylib
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```
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Or create the symbolic link in the current directory and set the environment variable `export LD_LIBRARY_PATH=$(pwd):${LD_LIBRARY_PATH}`.

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