XLang™

• A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability
• A super glue to easily integrating with other languages such as c++/c, python and javascript and any framework cross operation system barriers.
• Running faster than python about 3x-5x

for AI/Deep learning

• fully optimized tensor computing architecture
• easily build neural network with tensor expression
• automatically generate tensor data flow graph and compile for target
• boost inference/training performance about 6x-10x in GPU(CUDA)

How to Build

• build from Windows

1. git clone https://github.com/xlang-foundation/xlang.git
2. use Visual Studio to open this xlang folder
3. choose configuration for example Local Machine/x64-Debug, WSL:Ubuntu/WSL-GCC-Debug
4. build ( click on Visual Studio's menu: build/build all)

• build from Linux(Ubuntu)

  Prerequisites

    sudo apt-get install uuid-dev  
  

  for openssl required by http plugin

    sudo apt-get install libssl-dev
  

  if want to enable xlang™ to call python libs directly

    sudo apt-get install python3-dev
    and also need to pip install numpy
    if not want to enable this feature, 
    just comment out line below in CMakeLists.txt in root folder
    add_subdirectory("PyEng")
  

  Steps to build

    1. git clone https://github.com/xlang-foundation/xlang.git
    2. cd xlang
    3. mkdir out
    4. cd out
    5. cmake ..
    6. make
  

How to Run

• go to console window, cd to xlang executable file folder
• xlang

How to use vscode to debug on xlang code

1. install xlang plugin in vscode
2. start xlang with parameter: -event_loop -dbg -enable_python
   xlang -event_loop -dbg -enable_python
3. open or new a file with .x extension name
   click on vs code menu run/start debuging then vscode will automatcilly connect with xlang to run

How to build for Android

1. in Windows, install Android Studio
2. open project from folder xlang\Android
3. then build from Android Stduio menu: Build/Make Project