Summary:
This document, titled "Evolution of Deep Learning Systems: Towards a Deep Learning Programming Language - PaddlePaddle Fluid" by Qiaolongfei, discusses the development and advancements in deep learning frameworks, with a specific focus on PaddlePaddle Fluid. The author provides an overview of the evolution of deep learning systems and the shift from representing models as sequences of layers to graphs of operators. The document highlights the advantages of using fluid dynamics-inspired programming language for deep learning tasks. Additionally, it discusses the design and implementation of Fluid and its potential to be a compiled programming language in the future, providing more expressive power for deep learning tasks. The author also emphasizes the benefits of using PaddlePaddle Fluid and the ease of its integration into existing deep learning workflows. Overall, the document offers valuable insights into the advancements in deep learning frameworks and the potential of PaddlePaddle Fluid as a powerful tool for deep learning practitioners.