Explore the new TensorFlow Lite Converter in this 38-minute video presentation by Software Engineer Yu-Cheng Ling. Gain insights into TensorFlow Lite's advantages, including small binary size, fast startup, and quick invocation. Learn why a new converter was necessary and how to use it effectively. Dive into dialect examples for TF and TFL ops, understand the converter's exact functions, and discover techniques for writing transformation passes using TableGen and C++. Follow along with the comprehensive outline covering topics from introduction to specific transformation methods, enhancing your understanding of TensorFlow Lite's capabilities and optimization processes.
Overview
Syllabus
Intro
Outline
Some of TensorFlow Lite Advantages
How? (1/4) - Small binary size
How? (3/4) - Fast startup
How? (4/4) - Fast invocation
Why do we need a NEW converter?
How to use the new converter?
Dialect Example: A simple TF Op
Dialect Example: Defining a TFL op
What does the converter do? (recap)
What does the converter exactly do?
Writing Transformation Passes
Transformation in TableGen
Transformation in C++
Taught by
TensorFlow
