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‎.env

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WASMEDGE_VERSION='0.11.2'
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WASMEDGE_VERSION='0.13.1'

‎.eslintrc.js

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'plugin:import/warnings',
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'plugin:@typescript-eslint/eslint-recommended',
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'plugin:@typescript-eslint/recommended',
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'plugin:prettier/recommended',
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'plugin:md/recommended',
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],
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overrides: [
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{
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files: ['*.md'],
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parser: 'markdown-eslint-parser',
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rules: {
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'prettier/prettier': [
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'error',
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// Important to force prettier to use "markdown" parser - otherwise it wouldn't be able to parse *.md files.
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// You also can configure other options supported by prettier here - "prose-wrap" is
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// particularly useful for *.md files
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{ parser: 'markdown' },
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],
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},
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},
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{
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files: ['*.md.js'], // Will match js code inside *.md files
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rules: {
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// Example - disable 2 core eslint rules 'no-unused-vars' and 'no-undef'
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'no-unused-vars': 'off',
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'no-undef': 'off',
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},
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},
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],
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parserOptions: {
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ecmaFeatures: {

‎.github/workflows/build-test.yml

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workflow_dispatch:
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pull_request:
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types: [opened, synchronize, reopened, labeled, ready_for_review]
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branches:
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- main
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paths-ignore:
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- 'README.md'
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- 'LICENSE'
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- 'CODE_OF_CONDUCT.md'
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- 'CONTRIBUTING.md'
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- '.vscode/**'
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- '.husky/**'
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- '.env'
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- '.gitignore'
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push:
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branches:
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- main
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paths-ignore:
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- 'README.md'
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- 'LICENSE'

‎.github/workflows/lint.yml

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on:
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workflow_dispatch:
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push:
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branches:
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- main
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pull_request:
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branches:
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- main

‎README.md

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![WasmEdge Logo](https://github.com/WasmEdge/.github/raw/main/profile/wasmedge-runtime-logo.png)
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# WasmEdge Docs
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This repo contains technical documentation for the [WasmEdge Runtime](https://github.com/WasmEdge/WasmEdge) project. The documentation website built from this repo is published https://wasmedge.org/docs/, check it out!
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![WasmEdge Logo](https://github.com/WasmEdge/.github/raw/main/profile/wasmedge-runtime-logo.png)
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This repo contains technical documentation for the [WasmEdge Runtime](https://github.com/WasmEdge/WasmEdge) project. The documentation website built from this repo is published <https://wasmedge.org/docs/>, check it out!
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# Setting up the Docs Locally
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## Setting up the Docs Locally
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To set up the WasmEdge Docs locally, you will need to follow these general steps:
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1. **Clone the project:** Go to the GitHub repository page of the WasmEdge Docs project and click on the "Code" button to get the URL of the repository. Then, open a terminal or command prompt and type the following command:
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```bash
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git clone https://github.com/WasmEdge/docs.git
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```
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```bash
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git clone https://github.com/WasmEdge/docs.git
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```
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2. **Install dependencies:** Navigate to the project directory in the terminal and run the following command to install the necessary dependencies:
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```bash
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npm install
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```
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```bash
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npm install
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```
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3. **Start the development server:** Once the dependencies are installed, you can start the development server by running the following command:
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```bash
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npm start
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```
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```bash
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npm start
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```
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This should start the development server on port 3000. You can access the running application by opening a web browser and navigating to http://localhost:3000/docs/.
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This should start the development server on port 3000. You can access the running application by opening a web browser and navigating to <http://localhost:3000/docs/>.
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That's it! You should now have a local instance of the WasmEdge Docs running on your machine.

‎docs/contribute/contribute.md

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@@ -20,14 +20,15 @@ Pull requests are always welcome, even if they only contain small fixes like typ
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Please submit a pull request broken down into small changes bit by bit. A pull request consisting of a lot features and code changes may be hard to review. It is recommended to submit pull requests in an incremental fashion.
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> If you split your pull request into small changes, please make sure any of the changes that goes to master will not break anything. Otherwise, it can not be merged until this feature is complete.
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<!-- prettier-ignore -->
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:::note
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If you split your pull request into small changes, please make sure any of the changes that goes to master will not break anything. Otherwise, it can not be merged until this feature is complete.
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:::
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### Fork and Clone the Repository
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Fork [the WasmEdge repository](https://github.com/WasmEdge/WasmEdge) and clone the code to your local workspace
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> The WasmEdge team builds lots of extensions of Server-side WebAssembly, like [TensorFlow](https://github.com/second-state/WasmEdge-tensorflow), [Storage](https://github.com/second-state/WasmEdge-storage), [Command interface] and so on. If you want to contribute to the extensions, please check out [the details here](../develop/wasmedge/extensions/unique_extensions).
30-
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### Branches and Commits
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Changes should be made on your own fork in a new branch. Pull requests should be rebased on the top of master.

‎docs/contribute/installer.md

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sidebar_position: 7
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---
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# Installer System explanation
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# Installer Guide
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## Overview
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WasmEdge installer is designed for installing the Core Tools (`wasmedge`, `wasmedgec`), the Libraries (`libwasmedge`), the Extensions(`wasmedge-tensorflow`), and the Plugins(`wasi-nn`, `wasi-crytpo`).
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WasmEdge installer is designed for installing the Core Tools (`wasmedge`, `wasmedge compile`), the Libraries (`libwasmedge`), the Extensions(`wasmedge-tensorflow`), and the Plugins(`wasi-nn`, `wasi-crytpo`).
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## Dependencies
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- Short Option: `-v VERSION`
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- Full Option: `--version VERSION`
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- Description: Install the given VERSION of WasmEdge
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- Available Value: VERSION `0.11.2` or other valid release versions.
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- Available Value: VERSION `{{ wasmedge_version }}` or other valid release versions.
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- Note - In the case of supplied an invalid or nonexistent version, the installer exists with an error.
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### Installation path
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- Note - Currently `--plugins` is an experimental option.
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- Full Option: `--plugins wasi_crypto:0.11.0`
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- Full Option: `--plugins wasi_crypto:0.12.0`
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- Note - The format for this argument is `<plugin_name>:<version_number>`. `<version_number>` is not compulsory. For example `--plugins wasi_crypto` is a valid option.
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- Note - `<plugin_name>` is cases sensitive. Allowed values are stated [here](https://wasmedge.org/docs/contribute/plugin/intro) in the `Rust Crate` column. The logic is that the release name should be the same.

‎docs/contribute/plugin/develop_plugin_c.md

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The goal of the plug-in is to provide the host functions which can be imported when instantiating WASM.
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Therefore, developers can implement their plug-in host functions first, as the same as the [host functions in WasmEdge C API](/embed/c/reference/0.12.0.md#host-functions).
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Therefore, developers can implement their plug-in host functions first, as the same as the [host functions in WasmEdge C API](/embed/c/reference/latest.md#host-functions).
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> For the more details about the [external data](/embed/c/host_function.md#host-data) and [calling frame context](/embed/c/host_function.md#calling-frame-context), please refer to the host function guide.
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<!-- prettier-ignore -->
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:::note
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For the more details about the [external data](/embed/c/host_function.md#host-data) and [calling frame context](/embed/c/host_function.md#calling-frame-context), please refer to the host function guide.
26+
:::
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```c
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#include <wasmedge/wasmedge.h>

‎docs/contribute/plugin/develop_plugin_cpp.md

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# Develop WasmEdge Plug-in in C++ API
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> We recommend developers to [develop plug-ins in WasmEdge C API](develop_plugin_c.md).
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<!-- prettier-ignore -->
8+
:::note
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We recommend developers to [develop plug-ins in WasmEdge C API](develop_plugin_c.md).
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:::
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## Prerequisites
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‎docs/contribute/plugin/develop_plugin_rustsdk.md

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# Develop WasmEdge Plug-in in Rust SDK with witc
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Once you complete C++ plugin code, you can use witc[^1] to generate Rust Plugin SDK
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## Example wasmedge_opencvmini
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Consider you get a file `wasmedge_opencvmini.wit` with below content
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```wit
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imdecode: func(buf: list<u8>) -> u32
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imshow: func(window-name: string, mat-key: u32) -> unit
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waitkey: func(delay: u32) -> unit
13+
```
14+
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Using witc can generate Rust plugin code for it
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```shell
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witc plugin wasmedge_opencvmini.wit
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```
20+
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Now, you will create a SDK crate by
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```shell
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cargo new --lib opencvmini-sdk && cd opencvmini-sdk
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```
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witc put rust code to stdout, therefore, you might like to create a new module file for generated code
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```shell
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witc plugin wasmedge_opencvmini.wit > src/generated.rs
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```
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Finally, you write down `mod generated` in `src/lib.rs` to access the code, and write some wrappers
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```rust
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mod generated;
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pub fn imdecode(buf: &[u8]) -> u32 {
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unsafe { generated::imdecode(buf.as_ptr(), buf.len()) }
40+
}
41+
pub fn imshow(window_name: &str, mat_key: u32) -> () {
42+
unsafe { generated::imshow(window_name.as_ptr(), window_name.len(), mat_key) }
43+
}
44+
pub fn waitkey(delay: u32) -> () {
45+
unsafe { generated::waitkey(delay) }
46+
}
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```
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[^1]: <https://github.com/second-state/witc>

‎docs/contribute/plugin/intro.md

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There are several plug-in releases with the WasmEdge official releases. Please check the following table to check the release status and how to build from source with the plug-ins.
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> The `WasmEdge-Process` plug-in is attached in the WasmEdge release tarballs.
26-
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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`) | [Build Wtih WasmEdge-Process](/contribute/source/plugin/process) |
@@ -35,7 +33,10 @@ There are several plug-in releases with the WasmEdge official releases. Please c
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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` 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.
36+
<!-- prettier-ignore -->
37+
:::note
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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.
39+
:::
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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

‎docs/contribute/source/build_from_src.md

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- `wasmedge` executes a `WASM` file in the interpreter mode or a compiled `WASM` file in the ahead-of-time compilation mode.
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- To disable building all tools, you can set the CMake option `WASMEDGE_BUILD_TOOLS` to `OFF`.
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2. `wasmedgec` is the ahead-of-time `WASM` compiler.
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- `wasmedgec` compiles a general `WASM` file into a compiled `WASM` file.
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- To disable building the ahead-of-time compiler only, you can set the CMake option `WASMEDGE_BUILD_AOT_RUNTIME` to `OFF`.
35+
36+
<!-- prettier-ignore -->
37+
:::note
38+
The usage of `wasmedgec` is equal to `wasmedge compile`. We decide to deprecate `wasmedgec` in the future.
39+
:::
40+
3441
3. `libwasmedge.so` is the WasmEdge C API shared library. (`libwasmedge.dylib` on MacOS and `wasmedge.dll` on Windows)
3542
- `libwasmedge.so`, `libwasmedge.dylib`, or `wasmedge.dll` provides the C API for the ahead-of-time compiler and the WASM runtime.
3643
- The APIs related to the ahead-of-time compiler will always fail if the CMake option `WASMEDGE_BUILD_AOT_RUNTIME` is set as `OFF`.
@@ -89,6 +96,7 @@ Developers can follow the steps to build WasmEdge with plug-ins from source.
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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)
99+
- [WASI-Logging](../source/plugin/wasi_logging.md)
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## Run Tests
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‎docs/contribute/source/os/android/build.md

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Please follow this guide to build and test WasmEdge from source code with Android NDK.
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> In current state, we only support the runtime for the interpreter mode.
24+
<!-- prettier-ignore -->
25+
:::note
26+
In current state, we only support the runtime for the interpreter mode.
27+
:::
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## Prepare the Environment
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‎docs/contribute/source/os/android/cli.md

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In this section, we will show you how to use WasmEdge CLI tools on Android devices. We will showcase a full WasmEdge demo to perform image classification (Tensorflow-based AI inference) on an Android device.
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9+
<!-- prettier-ignore -->
10+
:::note
11+
The `WasmEdge-tensorflow-tools` has been deprecated after the 0.12.1 version. We'll update to use the WasmEdge plug-in in the future.
12+
:::
13+
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## Install Android version of WasmEdge-TensorFlow-Tools
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First, install WasmEdge-TensorFlow-Tools pre-release on your Android device. It works with the Android version of TensorFlow-Lite dynamic shared library.
@@ -36,8 +41,8 @@ sirius:/ $
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Use the following commands on your Ubuntu dev machine to download the WasmEdge-TensorFlow-Tools pre-release packages.
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```bash
39-
$ wget https://github.com/second-state/WasmEdge-tensorflow-tools/releases/download/{{ wasmedge_version }}/WasmEdge-tensorflow-tools-{{ wasmedge_version }}-android_aarch64.tar.gz
40-
$ mkdir WasmEdge-tensorflow-tools && tar zxvf WasmEdge-tensorflow-tools-{{ wasmedge_version }}-android_aarch64.tar.gz -C WasmEdge-tensorflow-tools
44+
$ wget https://github.com/second-state/WasmEdge-tensorflow-tools/releases/download/0.12.1/WasmEdge-tensorflow-tools-0.12.1-android_aarch64.tar.gz
45+
$ mkdir WasmEdge-tensorflow-tools && tar zxvf WasmEdge-tensorflow-tools-0.12.1-android_aarch64.tar.gz -C WasmEdge-tensorflow-tools
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show-tflite-tensor
4247
wasmedge-tensorflow-lite
4348
```
@@ -47,8 +52,8 @@ wasmedge-tensorflow-lite
4752
We provide an Android compatible version of TensorFlow-Lite dynamic shared library in the WasmEdge-Tensorflow-deps package. Download the package to your Ubuntu dev machine as follows.
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```bash
50-
$ wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/{{ wasmedge_version }}/WasmEdge-tensorflow-deps-TFLite-{{ wasmedge_version }}-android_aarch64.tar.gz
51-
$ tar zxvf WasmEdge-tensorflow-deps-TFLite-{{ wasmedge_version }}-android_aarch64.tar.gz -C WasmEdge-tensorflow-tools
55+
$ wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/0.12.1/WasmEdge-tensorflow-deps-TFLite-0.12.1-android_aarch64.tar.gz
56+
$ tar zxvf WasmEdge-tensorflow-deps-TFLite-0.12.1-android_aarch64.tar.gz -C WasmEdge-tensorflow-tools
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libtensorflowlite_c.so
5358
```
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‎docs/contribute/source/os/android/ndk.md

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77
In this section, we will demonstrate how to build an Android native application using C and the Android SDK. The native application uses the WasmEdge C SDK to embed the WasmEdge Runtime, and call WASM functions through WasmEdge.
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9+
<!-- prettier-ignore -->
10+
:::note
11+
The `WasmEdge-Image`, `WasmEdge-Tensorflow`, and `WasmEdge-tensorflow-tools` have been deprecated after the 0.12.1 version. We'll update to use the WasmEdge plug-in in the future.
12+
:::
13+
914
## Prerequisite
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1116
### Android
@@ -92,22 +97,22 @@ int main(int argc, char *argv[]) {
9297
Use the following commands to download WasmEdge for Android on your Ubuntu dev machine.
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9499
```bash
95-
wget https://github.com/WasmEdge/WasmEdge/releases/download/{{ wasmedge_version }}/WasmEdge-{{ wasmedge_version }}-android_aarch64.tar.gz
96-
wget https://github.com/second-state/WasmEdge-image/releases/download/{{ wasmedge_version }}/WasmEdge-image-{{ wasmedge_version }}-android_aarch64.tar.gz
97-
wget https://github.com/second-state/WasmEdge-tensorflow/releases/download/{{ wasmedge_version }}/WasmEdge-tensorflowlite-{{ wasmedge_version }}-android_aarch64.tar.gz
98-
wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/{{ wasmedge_version }}/WasmEdge-tensorflow-deps-TFLite-{{ wasmedge_version }}-android_aarch64.tar.gz
99-
tar -zxf WasmEdge-{{ wasmedge_version }}-android_aarch64.tar.gz
100-
tar -zxf WasmEdge-image-{{ wasmedge_version }}-android_aarch64.tar.gz -C WasmEdge-{{ wasmedge_version }}-Android/
101-
tar -zxf WasmEdge-tensorflowlite-{{ wasmedge_version }}-android_aarch64.tar.gz -C WasmEdge-{{ wasmedge_version }}-Android/
102-
tar -zxf WasmEdge-tensorflow-deps-TFLite-{{ wasmedge_version }}-android_aarch64.tar.gz -C WasmEdge-{{ wasmedge_version }}-Android/lib/
100+
wget https://github.com/WasmEdge/WasmEdge/releases/download/0.12.1/WasmEdge-0.12.1-android_aarch64.tar.gz
101+
wget https://github.com/second-state/WasmEdge-image/releases/download/0.12.1/WasmEdge-image-0.12.1-android_aarch64.tar.gz
102+
wget https://github.com/second-state/WasmEdge-tensorflow/releases/download/0.12.1/WasmEdge-tensorflowlite-0.12.1-android_aarch64.tar.gz
103+
wget https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/0.12.1/WasmEdge-tensorflow-deps-TFLite-0.12.1-android_aarch64.tar.gz
104+
tar -zxf WasmEdge-0.12.1-android_aarch64.tar.gz
105+
tar -zxf WasmEdge-image-0.12.1-android_aarch64.tar.gz -C WasmEdge-0.12.1-Android/
106+
tar -zxf WasmEdge-tensorflowlite-0.12.1-android_aarch64.tar.gz -C WasmEdge-0.12.1-Android/
107+
tar -zxf WasmEdge-tensorflow-deps-TFLite-0.12.1-android_aarch64.tar.gz -C WasmEdge-0.12.1-Android/lib/
103108
```
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### Compile
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107112
The following command compiles the C program to `a.out` on your Ubunu dev machine.
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```bash
110-
(/path/to/ndk)/toolchains/llvm/prebuilt/(HostPlatform)/bin/aarch64-linux-(AndroidApiVersion)-clang test.c -I./WasmEdge-{{ wasmedge_version }}-Android/include -L./WasmEdge-{{ wasmedge_version }}-Android/lib -lwasmedge-image_c -lwasmedge-tensorflowlite_c -ltensorflowlite_c -lwasmedge
115+
(/path/to/ndk)/toolchains/llvm/prebuilt/(HostPlatform)/bin/aarch64-linux-(AndroidApiVersion)-clang test.c -I./WasmEdge-0.12.1-Android/include -L./WasmEdge-0.12.1-Android/lib -lwasmedge-image_c -lwasmedge-tensorflowlite_c -ltensorflowlite_c -lwasmedge
111116
```
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## Run
@@ -121,7 +126,7 @@ adb push a.out /data/local/tmp
121126
adb push birds_v1.wasm /data/local/tmp
122127
adb push lite-model_aiy_vision_classifier_birds_V1_3.tflite /data/local/tmp
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adb push bird.jpg /data/local/tmp
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adb push ./WasmEdge-{{ wasmedge_version }}-Android/lib /data/local/tmp
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adb push ./WasmEdge-0.12.1-Android/lib /data/local/tmp
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```
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### Run the example

‎docs/contribute/source/os/openwrt.md

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Please follow this tutorial to build and test WasmEdge in OpenWrt(x86_64) from source code.
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> Currently, we only support the runtime for the interpreter mode.
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<!-- prettier-ignore -->
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:::note
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Currently, we only support the runtime for the interpreter mode.
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:::
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## Prepare the Environment
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