PaddlePaddle provides the users the ability to flexibly set various command line parameters to control the model training and inference process. Please refer to the following instructions on using PaddlePaddle:

PaddlePaddle supports distributed training tasks on fabric clusters, MPI clusters, and Kubernetes clusters. For detailed configuration and usage instructions, refer to:

PaddlePaddle provides a C-API for inference. We provide the following guidelines for using the C-API:

PaddlePaddle supports a variety of flexible and efficient recurrent neural networks. For details, please refer to:

How to use the built-in timing tool, nvprof, or nvvp to run performance analysis and tuning, please refer to: