diff --git a/docs/start/install.md b/docs/start/install.md index 97b143dc..af03298d 100644 --- a/docs/start/install.md +++ b/docs/start/install.md @@ -50,16 +50,16 @@ Suppose you are interested in the latest builds from the `HEAD` of the `master` #### Install WasmEdge with plug-ins -WasmEdge plug-ins are pre-built native modules that provide additional functionalities to the WasmEdge Runtime. To install plug-ins with the runtime, you can pass the `--plugins` parameter in the installer. For example, the command below installs the `WASI-NN TensorFlow-Lite backend` plug-in, which allows WasmEdge apps to run inference on Tensorflow-Lite models with the `WASI-NN` proposal. +WasmEdge plug-ins are pre-built native modules that provide additional functionalities to the WasmEdge Runtime. To install plug-ins with the runtime, you can pass the `--plugins` parameter in the installer. For example, the command below installs the `wasmedge_rustls` plug-in to enable TLS and HTTPS networking. ```bash -curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_nn-tensorflowlite +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasmedge_rustls ``` -To install multiple plug-ins, you can pass a list of plug-ins with the `--plugins` option. For example, the following command installs the `wasi-nn TensorFlow-Lite backend` and the `wasmedge_tensorflow` plug-ins. +To install multiple plug-ins, you can pass a list of plug-ins with the `--plugins` option. For example, the following command installs the `wasmedge_rustls` and the `wasi_nn-ggml` plug-ins. The latter enables WasmEdge to run AI inference programs on large language models such as llama2 family of LLMs. ```bash -curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_nn-tensorflowlite wasmedge_tensorflow +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasmedge_rustls wasi_nn-ggml ``` The installer downloads the plug-in files from the WasmEdge release on GitHub, unzips them, and then copies them over to the `~/.wasmedge/plugin/` folder (for user install) and to the `/usr/local/lib/wasmedge/` folder (for system install). @@ -125,36 +125,32 @@ WasmEdge uses plug-ins to extend its functionality. If you want to use more of W ### TLS plug-in -The WasmEdge TLS plug-in utilizes the native OpenSSL library to support HTTPS and TLS requests from WasmEdge sockets. To install the WasmEdge TLS plug-in on Linux, run the following commands after you have installed WasmEdge. +The WasmEdge TLS plug-in utilizes the native OpenSSL library to support HTTPS and TLS requests from WasmEdge sockets. To install WasmEdge with the TLS plug-in, run the following command. ```bash -wget https://github.com/WasmEdge/WasmEdge/releases/download/0.13.4/WasmEdge-plugin-wasmedge_rustls-0.13.4-manylinux2014_x86_64.tar.gz -tar xf WasmEdge-plugin-wasmedge_rustls-0.13.4-manylinux2014_x86_64.tar.gz - -# If you only installed WasmEdge for the local user -cp libwasmedge_rustls.so ~/.wasmedge/plugin/ - -# If you installed Wasmedge at /usr/local for all users -sudo mkdir -p /usr/local/lib/wasmedge/ -sudo cp libwasmedge_rustls.so /usr/local/lib/wasmedge/ +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasmedge_rustls ``` Then, go to [HTTPS request in Rust chapter](../develop/rust/http_service/client.md) to see how to run HTTPs services with Rust. -### WASI-NN plug-in +### WASI-NN plug-ins -WasmEdge supports various backends for `WASI-NN`. +WasmEdge supports various backends for `WASI-NN`, which provides a standardized API for WasmEdge applications to access AI models for inference. Each backend supports a specific type of AI models. -- [ggml backend](#wasi-nn-plug-in-with-ggml-backend): supported on `Ubuntu above 20.04` (x86_64), macOS (M1 and M2), and GPU (NVIDIA). -- [PyTorch backend](#wasi-nn-plug-in-with-pytorch-backend): supported on `Ubuntu above 20.04` and `manylinux2014_x86_64`. -- [OpenVINO™ backend](#wasi-nn-plug-in-with-openvino-backend): supported on `Ubuntu above 20.04`. -- [TensorFlow-Lite backend](#wasi-nn-plug-in-with-tensorflow-lite-backend): supported on `Ubuntu above 20.04`, `manylinux2014_x86_64`, and `manylinux2014_aarch64`. +- [ggml backend](#wasi-nn-plug-in-with-ggml-backend): supported on `Ubuntu 20.04+` and macOS. +- [PyTorch backend](#wasi-nn-plug-in-with-pytorch-backend): supported on `Ubuntu 20.04+` and `manylinux2014_x86_64`. +- [OpenVINO™ backend](#wasi-nn-plug-in-with-openvino-backend): supported on `Ubuntu 20.04+`. +- [TensorFlow-Lite backend](#wasi-nn-plug-in-with-tensorflow-lite-backend): supported on `Ubuntu 20.04+`, `manylinux2014_x86_64`, and `manylinux2014_aarch64`. Noticed that the backends are exclusive. Developers can only choose and install one backend for the `WASI-NN` plug-in. #### WASI-NN plug-in with ggml backend -`WASI-NN plug-in` with `ggml` backend allows WasmEdge to run llama2 inference. To install WasmEdge with WASI-NN ggml backend on, please use `--plugin wasi_nn-ggml` when running the installer command. +The WASI-NN plug-in with ggml backend allows WasmEdge to run llama2 inference. To install WasmEdge with WASI-NN ggml backend, please pass the `wasi_nn-ggml` option to the `--plugins` flag when running the installer command. + +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_nn-ggml +``` Please note, the installer from WasmEdge 0.13.5 will detect CUDA automatically. If CUDA is detected, the installer will always attempt to install a CUDA-enabled version of the plug-in. @@ -168,9 +164,13 @@ Then, go to the [Llama2 inference in Rust chapter](../develop/rust/wasinn/llm_in #### WASI-NN plug-in with PyTorch backend -`WASI-NN` plug-in with `PyTorch` backend allows WasmEdge applications to perform `PyTorch` model inference. To install WasmEdge with `WASI-NN PyTorch backend` plug-in on Linux, please use the `--plugins wasi_nn-pytorch` parameter when [running the installer command](#generic-linux-and-macos). +The WASI-NN plug-in with PyTorch backend allows WasmEdge applications to perform PyTorch model inference. To install WasmEdge with WASI-NN PyTorch backend, please pass the `wasi_nn-pytorch` option to the `--plugins` flag when running the installer command. -The `WASI-NN` plug-in with `PyTorch` backend depends on the `libtorch` C++ library to perform AI/ML computations. You need to install the [PyTorch 1.8.2 LTS](https://pytorch.org/get-started/locally/) dependencies for it to work properly. +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_nn-pytorch +``` + +The WASI-NN plug-in with PyTorch backend depends on the `libtorch` C++ library to perform AI/ML computations. You need to install the [PyTorch 1.8.2 LTS](https://pytorch.org/get-started/locally/) dependencies for it to work properly. ```bash export PYTORCH_VERSION="1.8.2" @@ -194,9 +194,13 @@ Then, go to the [WASI-NN PyTorch backend in Rust chapter](../develop/rust/wasinn #### WASI-NN plug-in with OpenVINO backend -`WASI-NN` plug-in with `OpenVINO™` backend allows WasmEdge applications to perform `OpenVINO™` model inference. To install WasmEdge with `WASI-NN OpenVINO™ backend` plug-in on Linux, please use the `--plugins wasi_nn-openvino` parameter when [running the installer command](#generic-linux-and-macos). +The WASI-NN plug-in with the OpenVINO backend allows WasmEdge applications to perform OpenVINO model inference. To install WasmEdge with WASI-NN OpenVINO backend, please pass the `wasi_nn-openvino` option to the `--plugins` flag when running the installer command. + +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_nn-openvino +``` -The `WASI-NN` plug-in with `OpenVINO™` backend depends on the `OpenVINO™` C library to perform AI/ML computations. [OpenVINO™](https://docs.openvino.ai/2023.0/openvino_docs_install_guides_installing_openvino_apt.html)(2023) dependencies. The following instructions are for Ubuntu 20.04 and above. +The WASI-NN plug-in with OpenVINO backend depends on the OpenVINO C library to perform AI/ML computations. [OpenVINO](https://docs.openvino.ai/2023.0/openvino_docs_install_guides_installing_openvino_apt.html)(2023) dependencies. The following instructions are for Ubuntu 20.04 and above. ```bash wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB @@ -207,36 +211,52 @@ sudo apt-get -y install openvino ldconfig ``` -Then, go to the [WASI-NN OpenVINO™ backend in Rust](../develop/rust/wasinn/openvino) chapter to see how to run AI inference with `OpenVINO™`. +Then, go to the [WASI-NN OpenVINO backend in Rust](../develop/rust/wasinn/openvino) chapter to see how to run AI inference with `OpenVINO. #### WASI-NN plug-in with TensorFlow-Lite backend -`WASI-NN` plug-in with `Tensorflow-Lite` backend allows WasmEdge applications to perform `Tensorflow-Lite` model inference. To install WasmEdge with `WASI-NN Tensorflow-Lite backend` plug-in on Linux, please use the `--plugins wasi_nn-tensorflowlite` parameter when [running the installer command](#generic-linux-and-macos). +The WASI-NN plug-in with Tensorflow-Lite backend allows WasmEdge applications to perform Tensorflow-Lite model inference. To install WasmEdge with WASI-NN Tensorflow-Lite backend, please pass the `wasi_nn-tensorflowlite` option to the `--plugins` flag when running the installer command. -The `WASI-NN` plug-in with `Tensorflow-Lite` backend depends on the `libtensorflowlite_c` shared library to perform AI/ML computations, and it will be installed by the installer automatically. +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_nn-tensorflowlite +``` + +The WASI-NN plug-in with Tensorflow-Lite backend depends on the `libtensorflowlite_c` shared library to perform AI/ML computations, and it will be installed by the installer automatically. :::note If you install this plug-in WITHOUT installer, you can [refer to here to install the dependency](#tensorflow-lite-dependencies). :::note -Then, go to [WASI-NN TensorFlow-lite backend in Rust chapter](../develop/rust/wasinn/tensorflow_lite) to see how to run AI inference with `TensorFlow-Lite`. +Then, go to [WASI-NN TensorFlow-lite backend in Rust chapter](../develop/rust/wasinn/tensorflow_lite) to see how to run AI inference with TensorFlow-Lite. ### WASI-Crypto Plug-in [WASI-crypto](https://github.com/WebAssembly/wasi-crypto) is Cryptography API proposals for WASI. To use WASI-Crypto proposal, please use the `--plugins wasi_crypto` parameter when [running the installer command](#generic-linux-and-macos). -Then, go to [WASI-Crypto in Rust chapter](../develop/rust/wasicrypto.md) to see how to run `WASI-crypto` functions. +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasi_crypto +``` + +Then, go to [WASI-Crypto in Rust chapter](../develop/rust/wasicrypto.md) to see how to run WASI-crypto functions. ### WasmEdge Image Plug-in The wasmEdge-Image plug-in can help developers to load and decode JPEG and PNG images and convert into tensors. To install this plug-in, please use the `--plugins wasmedge_image` parameter when [running the installer command](#generic-linux-and-macos). -Then, go to [TensorFlow interface (image part) in Rust chapter](../develop/rust/wasinn/tf_plugin.md#image-loading-and-conversion) to see how to run `WasmEdge-Image` functions. +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasmedge_image +``` + +Then, go to [TensorFlow interface (image part) in Rust chapter](../develop/rust/wasinn/tf_plugin.md#image-loading-and-conversion) to see how to run WasmEdge-Image functions. ### WasmEdge TensorFlow Plug-in -WasmEdge-TensorFlow plug-in can help developers to perform `TensorFlow` model inference as the similar API in python. To install this plug-in, please use the `--plugins wasmedge_tensorflow` parameter when [running the installer command](#generic-linux-and-macos). +The WasmEdge-TensorFlow plug-in can help developers to perform TensorFlow model inference as the similar API in python. To install this plug-in, please use the `--plugins wasmedge_tensorflow` parameter when [running the installer command](#generic-linux-and-macos). + +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasmedge_tensorflow +``` The WasmEdge-Tensorflow plug-in depends on the `libtensorflow_cc` shared library. @@ -249,16 +269,16 @@ Then, go to [TensorFlow interface in Rust chapter](../develop/rust/wasinn/tf_plu ### WasmEdge TensorFlow-Lite Plug-in -The wasmEdge-TensorFlowLite plug-in can help developers to perform `TensorFlow-Lite` model inference as the similar API in python. To install this plug-in, please use the `--plugins wasmedge_tensorflowlite` parameter when [running the installer command](#generic-linux-and-macos). - -The WasmEdge-TensorflowLite plug-in depends on the `libtensorflowlite_c` shared library to perform AI/ML computations, and it will be installed by the installer automatically. - :::note -If you install this plug-in WITHOUT installer, you can [refer to here to install the dependency](#tensorflow-lite-dependencies). +The Tensorflow Lite plugin is being deprecated. Please use the [WASI NN TensorflowLite plugin](#wasi-nn-plug-in-with-tensorflow-lite-backend) instead. :::note -Then, go to [TensorFlow interface in Rust chapter](../develop/rust/wasinn/tf_plugin.md) to see how to run `WasmEdge-TensorFlowLite` functions. +The wasmEdge-TensorFlowLite plug-in can help developers to perform TensorFlow-Lite model inference. To install this plug-in, please use the `--plugins wasmedge_tensorflowlite` parameter when [running the installer command](#generic-linux-and-macos). + +```bash +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash -s -- --plugins wasmedge_tensorflowlite +``` ## Install WasmEdge extensions and dependencies @@ -316,6 +336,38 @@ winget uninstall wasmedge ## Appendix: Installing the TensorFlow Dependencies +### TensorFlow-Lite Dependencies + +If you install the WASI NN TensorflowLite plug-in WITHOUT installer, you can download the shared libraries with the following commands: + +```bash +VERSION=TF-2.12.0-CC +# For the WasmEdge versions before 0.13.0, please use the `TF-2.6.0-CC` version. +PLATFORM=manylinux2014_x86_64 +# For the Linux aarch64 platforms, please use the `manylinux2014_aarch64`. +# For the MacOS x86_64 platforms, please use the `darwin_x86_64`. +# For the MacOS arm64 platforms, please use the `darwin_arm64`. +curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/$VERSION/WasmEdge-tensorflow-deps-TFLite-$VERSION-$PLATFORM.tar.gz +tar -zxf WasmEdge-tensorflow-deps-TFLite-$VERSION-$PLATFORM.tar.gz +rm -f WasmEdge-tensorflow-deps-TFLite-$VERSION-$PLATFORM.tar.gz +``` + +The shared library will be extracted in the current directory `./libtensorflowlite_c.so` (or `.dylib` for MacOS) and `./libtensorflowlite_flex.so` (after the `WasmEdge 0.13.0` version). You can move the library to the installation path: + +```bash +# If you installed wasmedge locally as above +mv libtensorflowlite_c.so ~/.wasmedge/lib +mv libtensorflowlite_flex.so ~/.wasmedge/lib + +# Or, if you installed wasmedge for all users in /usr/local/ +mv libtensorflowlite_c.so /usr/local/lib +mv libtensorflowlite_flex.so /usr/local/lib + +# Or on MacOS platforms +mv libtensorflowlite_c.dylib ~/.wasmedge/lib +mv libtensorflowlite_flex.dylib ~/.wasmedge/lib +``` + ### TensorFlow Dependencies If you install the `WasmEdge-Tensorflow` plug-in WITHOUT installer, you can download the shared libraries with the following commands: @@ -360,38 +412,6 @@ ln -s libtensorflow_framework.2.12.0.dylib ~/.wasmedge/lib/libtensorflow_framewo ln -s libtensorflow_framework.2.dylib ~/.wasmedge/lib/libtensorflow_framework.dylib ``` -### TensorFlow-Lite Dependencies - -If you install the `WasmEdge-TensorflowLite` plug-in WITHOUT installer, you can download the shared libraries with the following commands: - -```bash -VERSION=TF-2.12.0-CC -# For the WasmEdge versions before 0.13.0, please use the `TF-2.6.0-CC` version. -PLATFORM=manylinux2014_x86_64 -# For the Linux aarch64 platforms, please use the `manylinux2014_aarch64`. -# For the MacOS x86_64 platforms, please use the `darwin_x86_64`. -# For the MacOS arm64 platforms, please use the `darwin_arm64`. -curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/$VERSION/WasmEdge-tensorflow-deps-TFLite-$VERSION-$PLATFORM.tar.gz -tar -zxf WasmEdge-tensorflow-deps-TFLite-$VERSION-$PLATFORM.tar.gz -rm -f WasmEdge-tensorflow-deps-TFLite-$VERSION-$PLATFORM.tar.gz -``` - -The shared library will be extracted in the current directory `./libtensorflowlite_c.so` (or `.dylib` for MacOS) and `./libtensorflowlite_flex.so` (after the `WasmEdge 0.13.0` version). You can move the library to the installation path: - -```bash -# If you installed wasmedge locally as above -mv libtensorflowlite_c.so ~/.wasmedge/lib -mv libtensorflowlite_flex.so ~/.wasmedge/lib - -# Or, if you installed wasmedge for all users in /usr/local/ -mv libtensorflowlite_c.so /usr/local/lib -mv libtensorflowlite_flex.so /usr/local/lib - -# Or on MacOS platforms -mv libtensorflowlite_c.dylib ~/.wasmedge/lib -mv libtensorflowlite_flex.dylib ~/.wasmedge/lib -``` - ## Troubleshooting Some users, especially in China, reported encountering the Connection refused error when trying to download the `install.sh` from the `githubusercontent.com`. diff --git a/docs/start/wasmedge/extensions/plugins.md b/docs/start/wasmedge/extensions/plugins.md index 6266a146..8e471394 100644 --- a/docs/start/wasmedge/extensions/plugins.md +++ b/docs/start/wasmedge/extensions/plugins.md @@ -26,8 +26,6 @@ The following lists are the WasmEdge official released plug-ins. Users can insta | 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 Besides the plug-ins, WasmEdge provides the extensions before the `0.13.0` versions. Noticed that the extensions are replaced by the corresponding plug-ins after the `0.13.0` version. diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/start/wasmedge/extensions/plugins.md b/i18n/zh/docusaurus-plugin-content-docs/current/start/wasmedge/extensions/plugins.md index b4ab57ae..94b25f68 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/start/wasmedge/extensions/plugins.md +++ b/i18n/zh/docusaurus-plugin-content-docs/current/start/wasmedge/extensions/plugins.md @@ -12,19 +12,19 @@ WasmEdge 的插件机制是一种扩展主机模块的简便方法，用户可 下面列出了 WasmEdge 官方发布的插件。用户可以通过安装程序轻松安装它们。 -| 插件 | 描述 | 平台支持 | 语言支持 | -| --- | --- | --- | --- | -| [WasmEdge-Process](../../../contribute/source/plugin/process.md) | 允许 WebAssembly 程序在主机操作系统中执行本机命令。它支持传递参数、环境变量、`STDIN`/`STDOUT` 管道以及主机访问的安全策略。 | `manylinux2014 x86_64`，`manylinux2014 aarch64` 和 `ubuntu 20.04 x86_64`（自`0.10.0`） | [Rust](https://crates.io/crates/wasmedge_process_interface) | -| [WASI-Crypto](https://github.com/WebAssembly/wasi-crypto) | 用于运行时向 WebAssembly 模块公开的 API，以执行加密操作和密钥管理。 | `manylinux2014 x86_64`，`manylinux2014 aarch64` 和 `ubuntu 20.04 x86_64`（自`0.10.1`） | [Rust](https://crates.io/crates/wasi-crypto) | -| [WASI-NN](https://github.com/WebAssembly/wasi-nn)[（OpenVINO 后端）](../../../develop/rust/wasinn/openvino.md) | 使用 OpenVINO 模型进行 AI 推理。 | `ubuntu 20.04 x86_64`（自`0.10.1`） | [Rust](https://crates.io/crates/wasi-nn)，JavaScript | -| [WASI-NN](https://github.com/WebAssembly/wasi-nn)[（Pytorch 后端）](../../../develop/rust/wasinn/pytorch.md) | 使用 Pytorch 模型进行 AI 推理。 | `manylinux2014 x86_64` 和 `ubuntu 20.04 x86_64`（自`0.11.1`） | [Rust](https://crates.io/crates/wasi-nn)，JavaScript | -| [WASI-NN](https://github.com/WebAssembly/wasi-nn)[（TensorFlow-Lite 后端）](../../../develop/rust/wasinn/tensorflow_lite.md) | 使用 TensorFlow-Lite 模型进行 AI 推理。 | `manylinux2014 x86_64`，`manylinux2014 aarch64` 和 `ubuntu 20.04 x86_64`（自`0.11.2`） | [Rust](https://crates.io/crates/wasi-nn)，JavaScript | -| [WasmEdge-Image](../../../contribute/source/plugin/image.md) | 用于 AI 推理任务中处理图像的本机库。 | `manylinux2014 x86_64`，`manylinux2014 aarch64`，`ubuntu 20.04 x86_64`，`darwin x86_64` 和 `darwin arm64`（自`0.13.0`） | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface)（0.3.0） | -| [WasmEdge-Tensorflow](../../../contribute/source/plugin/tensorflow.md) | 用于推理 TensorFlow 模型的本机库。 | `manylinux2014 x86_64`，`manylinux2014 aarch64`，`ubuntu 20.04 x86_64`，`darwin x86_64` 和 `darwin arm64`（自`0.13.0`） | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface)（0.3.0） | -| [WasmEdge-TensorflowLite](../../../contribute/source/plugin/tensorflowlite.md) | 用于推理 TensorFlow-Lite 模型的本机库。 | `manylinux2014 x86_64`，`manylinux2014 aarch64`，`ubuntu 20.04 x86_64`，`darwin x86_64` 和 `darwin arm64`（自`0.13.0`） | [Rust](https://crates.io/crates/wasmedge_tensorflow_interface) | -| WasmEdge-OpenCV | 一个非常流行的常用于处理图像和视频以供 AI 输入/输出函数库。 | 未发布 | Rust | -| WasmEdge-eBPF | 一个用于进行 eBPF 应用推理的原生库 | `manylinux2014 x86_64`, `manylinux2014 aarch64`, `ubuntu 20.04 x86_64`, `darwin x86_64`, and `darwin arm64` (since `0.13.0`) | Rust | -| WasmEdge-rusttls | 一个用于进行 Rust 和 TLS 推理的原生库 | `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) ## （过去的）WasmEdge 拓展