riton-inference-server/backend: Common source, scripts and utilities for creating Triton backends.

Common source, scripts and utilities for creating Triton backends.

Triton Inference Server Backend A Triton backend is the implementation that executes a model. A backend can be a wrapper around a deep-learning framework, like PyTorch, TensorFlow, TensorRT or ONNX Runtime. Or a backend can be custom C/C++ logic performing any operation (for example, image pre-processing). This repo contains documentation on Triton backends and also source, scripts and utilities for creating Triton backends. You do not need to use anything provided in this repo to create a Triton backend but you will likely find its contents useful. Frequently Asked Questions Full documentatio

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