Xreki / Mobile

Embedded and Mobile Deployment

Mobile

Here mainly describes how to deploy PaddlePaddle to the mobile end, as well as some deployment optimization methods and some benchmark.

How to build PaddlePaddle for mobile

• Build PaddlePaddle for Android
• Build PaddlePaddle for IOS
• Build PaddlePaddle for Raspberry Pi3
• Build PaddlePaddle for PX2
• How to build PaddlePaddle mobile inference library with minimum size.

Demo

• An inference demo program based on the Paddle C API.

Deployment optimization methods

• Merge batch normalization before deploying the model to the mobile.
• Compress the model before deploying the model to the mobile.
• Merge multiple model parameter files into one file.
• How to deploy int8 model in mobile inference with PaddlePaddle.

Model compression

• How to use pruning to train smaller model

PaddlePaddle mobile benchmark

• Benchmark of Mobilenet
• Benchmark of ENet
• Benchmark of DepthwiseConvolution in PaddlePaddle