Overview of the cppdocs Project
The cppdocs project is an automated effort designed to host the documentation for the PyTorch C++ API. This documentation is crucial for developers who utilize the PyTorch library in their C++ projects, providing them with the necessary resources to effectively implement and manage PyTorch functionalities.
Purpose and Objectives
The primary goal of the cppdocs project is to serve as the repository for the PyTorch C++ API documentation site, accessible at pytorch.org/cppdocs. By being automatically generated, it ensures that the documentation remains up-to-date with the latest developments and changes in the PyTorch library and its API.
Repository Management
A distinctive feature of the cppdocs project is its automated nature. Users are discouraged from submitting pull requests directly to this repository for any changes or enhancements to the tutorials or documentation. The content here is synchronized automatically from the primary PyTorch repository. Any changes made directly in this repository would be overwritten during the next update cycle.
How to Contribute
For contributors interested in making improvements or edits to the C++ documentation, the pathway is directed towards the main PyTorch repository. Specifically, they should direct their edits to the sources located at PyTorch Repository Path. Modifications here will reflect in the cppdocs after the next synchronization. Similarly, updates to source-level documentations should be directed to the source code within the PyTorch documentation.
Synchronization Process
The synchronization process ensures that the cppdocs site is reflecting the most current version of the documentation. This process automatically pulls changes from the designated PyTorch repository and updates the content regularly. This system maintains high reliability and accuracy in the documentation provided to the users.
By understanding these components and processes, contributors and users can effectively navigate and utilize the cppdocs project for their PyTorch C++ API needs, ensuring a cohesive and up-to-date experience.