Dive into an internal TensorFlow team training session as Software Engineer Mihai Maruseac provides a comprehensive overview of TensorFlow Filesystems in this 26-minute technical deep dive. Explore topics such as Python integration, loading saved models, FileSystemRegistry, environment variables, C interface, plugin loading, compatibility metadata, and modular filesystem registration. Learn about testing procedures and gain valuable insights from the developers behind TensorFlow. Enhance your understanding of TensorFlow's file handling capabilities and architecture through this insider's perspective.
Overview
Syllabus
Intro
How about Python?
Loading saved models
FileSystemRegistry
Env (2)
The files
C interface
Loading plugins
Compatibility metadata
Registering modular filesystems
Testing
Taught by
TensorFlow
