This section explains how developers can add functionality to TensorFlow's capabilities. Begin by reading the following architectural overview:
The following guides explain how to extend particular aspects of TensorFlow:
- Adding a New Op, which explains how to create your own operations.
- Adding a Custom Filesystem Plugin, which explains how to add support for your own shared or distributed filesystem.
- Custom Data Readers, which details how to add support for your own file and record formats.
To create tools compatible with TensorFlow's model format, read the following guide: