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.

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.
  • Example of flowers102

PaddlePaddle mobile benchmark

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