Dissecting tf.function to Discover AutoGraph Strengths and Subtleties

Explore the intricacies of AutoGraph and tf.function in TensorFlow 2.0 through this EuroPython 2019 conference talk. Delve into the strengths and subtleties of these features, learning how to create and reuse graphs, handle state-creating functions, and optimize performance using tf.Tensor objects. Gain essential skills for writing efficient, graph-convertible code as the speaker guides you through common pitfalls and best practices. Discover the nuances of two-phase execution, dynamic vs. static typing, and the impact of tf.function on performance. By the end of this talk, develop a comprehensive understanding of AutoGraph's capabilities and limitations, enabling you to bridge the gap between TensorFlow 1.x and 2.0 effectively.