Adding Custom Layers using the Python API (TensorRT >= 10.6)

For most use cases, defining Python plugins with a decorator-based approach is recommended (available starting in TensorRT 10.6). Refer to the Writing Custom Operators with TensorRT Python Plugins in the TensorRT Python API documentation for a manual describing different use cases and best practices. Note that embedding Python-defined plugins to TensorRT engines such that the engine is independent of Python and the plugin source itself, is only possible with this approach.