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Signed-off-by: ezirmusitua <[email protected]>
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ezirmusitua committed Nov 20, 2023
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28 changes: 15 additions & 13 deletions docs/start/wasmedge/extensions/plugins.md
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The following lists are the WasmEdge official released plug-ins. Users can install them easily by the installer.

| Plug-in | Description | Platform Support | Language support |
|-----------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------|
| WasmEdge-Process | Allows WebAssembly programs to execute native commands in the host operating system. It supports passing arguments, environment variables, `STDIN`/`STDOUT` pipes, and security policies for host access. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.0`) | [Rust](https://crates.io/crates/wasmedge_process_interface) |
| [WASI-Crypto](https://github.com/WebAssembly/wasi-crypto) | APIs that a runtime can expose to WebAssembly modules in order to perform cryptographic operations and key management. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.1`) | [Rust](https://crates.io/crates/wasi-crypto) |
| [WASI-NN](https://github.com/WebAssembly/wasi-nn) (OpenVINO backend) | AI inference using OpenVINO models. | `ubuntu 20.04 x86_64` (since `0.10.1`) | [Rust](https://crates.io/crates/wasi-nn), JavaScript |
| [WASI-NN](https://github.com/WebAssembly/wasi-nn) (Pytorch backend) | AI inference using Pytorch models. | `manylinux2014 x86_64` and `ubuntu 20.04 x86_64` (since `0.11.1`) | [Rust](https://crates.io/crates/wasi-nn), JavaScript |
| [WASI-NN](https://github.com/WebAssembly/wasi-nn) (TensorFlow-Lite backend) | AI inference using TensorFlow-Lite models. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.11.2`) | [Rust](https://crates.io/crates/wasi-nn), JavaScript |
| WasmEdge-Image | A native library to manipulate images for AI inference tasks. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) (0.3.0) |
| WasmEdge-Tensorflow | A native library for inferring TensorFlow models. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) (0.3.0) |
| WasmEdge-TensorflowLite | A native library for inferring TensorFlow-Lite models. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) |
| WasmEdge-OpenCV | Very popular utility functions to process images and videos for AI input/output. | Unreleased | Rust |
| WasmEdge-eBPF | A native library for inferring eBPF applications | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | Rust |
| WasmEdge-rusttls | A native library for inferring Rust and TLS Library | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_rustls_api)
| Plug-in | Description | Platform Support | Language support |
|----------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------|
| [WasmEdge-Process](../../../contribute/source/plugin/process.md) | Allows WebAssembly programs to execute native commands in the host operating system. It supports passing arguments, environment variables, `STDIN`/`STDOUT` pipes, and security policies for host access. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.0`) | [Rust](https://crates.io/crates/wasmedge_process_interface) |
| [WASI-Crypto](https://github.com/WebAssembly/wasi-crypto) | APIs that a runtime can expose to WebAssembly modules in order to perform cryptographic operations and key management. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.10.1`) | [Rust](https://crates.io/crates/wasi-crypto) |
| [WASI-NN](https://github.com/WebAssembly/wasi-nn) [(OpenVINO backend)](../../../develop/rust/wasinn/openvino.md) | AI inference using OpenVINO models. | `ubuntu 20.04 x86_64` (since `0.10.1`) | [Rust](https://crates.io/crates/wasi-nn), JavaScript |
| [WASI-NN](https://github.com/WebAssembly/wasi-nn) [(Pytorch backend)](../../../develop/rust/wasinn/pytorch.md) | AI inference using Pytorch models. | `manylinux2014 x86_64` and `ubuntu 20.04 x86_64` (since `0.11.1`) | [Rust](https://crates.io/crates/wasi-nn), JavaScript |
| [WASI-NN](https://github.com/WebAssembly/wasi-nn) [(TensorFlow-Lite backend)](../../../develop/rust/wasinn/tensorflow_lite.md) | AI inference using TensorFlow-Lite models. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, and `ubuntu 20.04 x86_64` (since `0.11.2`) | [Rust](https://crates.io/crates/wasi-nn), JavaScript |
| [WasmEdge-Image](../../../contribute/source/plugin/image.md) | A native library to manipulate images for AI inference tasks. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) (0.3.0) |
| [WasmEdge-Tensorflow](../../../contribute/source/plugin/tensorflow.md) | A native library for inferring TensorFlow models. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) (0.3.0) |
| [WasmEdge-TensorflowLite](../../../contribute/source/plugin/tensorflowlite.md) | A native library for inferring TensorFlow-Lite models. | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) |
| WasmEdge-OpenCV | Very popular utility functions to process images and videos for AI input/output. | Unreleased | Rust |
| WasmEdge-eBPF | A native library for inferring eBPF applications | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | Rust |
| WasmEdge-rusttls | A native library for inferring Rust and TLS Library | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | [Rust](https://crates.io/crates/wasmedge_rustls_api)



## Old WasmEdge Extensions

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`wasmedge` 二进制文件是一个命令行界面（CLI）程序，用于运行 WebAssembly 程序。

- 如果 WebAssembly 程序包含 `main()` 函数，`wasmedge` 将以命令模式执行它作为独立程序。
- 如果 WebAssembly 程序包含 `main()` 函数，`wasmedge` 将把它作为独立程序以命令模式执行。
- 如果 WebAssembly 程序包含一个或多个导出的公共函数，`wasmedge` 可以在反应器模式中调用单个函数。

默认情况下，`wasmedge` 将以解释器模式执行 WebAssembly 程序，并在 AOT 模式下执行 AOT 编译的 `.so`、`.dylib`、`.dll` 或 `.wasm`（通用输出格式）。如果要加速 WASM 执行，我们建议首先使用 [AOT 编译器对 WebAssembly 进行编译](aot.md)。
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命令行支持 `--gas-limit`参数，用于控制执行成本。

For giving sufficient gas as the example, you can run:

下面是提供足够的 Gas 的示例：

```bash
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## 易于扩展

使用 C、Go 和 Rust 中的本地主机函数很容易构建自定义的 WasmEdge 运行时。
使用 C、Go 和 Rust 中的原生宿主函数很容易构建自定义的 WasmEdge 运行时。

或者，你可以为 WasmEdge 构建自己的插件，

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- [使用 CRI-O 和 Docker Hub 管理 WasmEdge](https://www.secondstate.io/articles/manage-webassembly-apps-in-wasmedge-using-docker-tools/)。

## 从 WasmEdge 调用本机主机函数
## 从 WasmEdge 调用原生宿主函数

WasmEdge 的一个关键特性是其可扩展性。WasmEdge API 允许开发人员将来自主机编程语言的“主机函数”注册到 WasmEdge 实例中，并从 WebAssembly 程序中调用这些函数。

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