ML using Pytorch in C++

A simple repo to learn using Pytorch C++ API, for Deep Learning programs.

Note: This is just a repo, for quick references to setup cmake, use libtorch and how to build amazing ML models using Pytorch. The code shouldn't be used in production, or anything serious.

Installation and usage.

This project uses CMake of minimum 3.14 for dependency management. You need to ensure that you have cmake and GCC runtime installed on your system.

Here's how to install the dependencies, and get started.

• Make a build folder, if it doesn't exist: mkdir build
• Change directory into the build folder: cd build
• Install the dependencies, using cmake .. and then cmake --build . --config Release

Here are the steps to run the executables, once compiled!

• Change to the respective directory for the program you wish to run.

  cd build/src/<the-subproject-you-want-to-run>
  
  # Example: To run the `regression` example
  cd build/src/regression
  

• Run the executable for your Respective OS
  • Linux / MacOS

    ./<executable-file>
    
    # Example: To run the `regression` example
    ./regression  # Can change based on the name of executable
    

  • Windows

    .\<executable-file>.exe
    
    # Example: To run the `regression` example
    .\regression.exe  # Can change based on the name of executable
    

Contributing

Contributions, issues and feature requests are welcome. After cloning & setting up project locally, you can just submit a PR to this repo and it will be deployed once it's accepted.

Its good to have descriptive commit messages, or PR titles so that other contributors can understand about your commit or the PR Created. Read conventional commits before making the commit message.

To add a new section / topic, Get started by making a new folder, inside the src/ folder. Then, in the main CMakeLists.txt, Add add_subdirectory("src/<project>") with <project> being the project folder name. Add the project folder name to add_dependencies(src in the list.

Then, Make the files, and Add a configuration for it, in CMakeLists.txt in the specific folder you made for project. Test if it works. Check the commands above and test and make it. And once it works, You're ready to contribute!

Show your support

We love people's support in growing and improving. Be sure to leave a if you like the project and also be sure to contribute, if you're interested!