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Quick Start

This section provides a comprehensive Quick Start guide for users who are new to the torchpipe project. By following this tutorial, users will be able to quickly and efficiently learn how to use torchpipe to optimize and accelerate their model deployment process, ultimately streamlining their workflow and enhancing their productivity.

📄️ Beginner's Guide - A Small Step Forward

TorchPipe is a multi-instance pipeline parallel library that provides a seamless integration between lower-level acceleration libraries (such as TensorRT and OpenCV) and RPC frameworks. It guarantees high service throughput while meeting latency requirements. This document is mainly for new users, that is, users who are in the introductory stage of acceleration-related theoretical knowledge, know some python grammar, and can read simple codes. This content mainly includes the use of torchpipe for accelerating service deployment, complemented by performance and effect comparisons. The complete code of this document can be found at resnet50thrift。