This course teaches learners about the new TF Lite Converter in TensorFlow. By the end of the course, students will understand the advantages of TensorFlow Lite, how to use the new converter, and the process of writing transformation passes in TableGen and C++. The teaching method includes demonstrations and examples. This course is intended for individuals interested in TensorFlow Lite optimization and transformation 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
