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Classroom Contents
Inside TensorFlow - MLIR for TF Developers
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- 1 Introduction
- 2 What is MLIR
- 3 Why MLIR
- 4 How to increase reuse
- 5 New abstractions
- 6 Progressive lowering
- 7 Goals of MLIR
- 8 Multiple levels of abstraction
- 9 MLIR infrastructure
- 10 Things for Light converter
- 11 Usability improvements
- 12 Debugging errors
- 13 Newtons flow compiler
- 14 Reusable compiler passes
- 15 Radio6 example
- 16 Current approach
- 17 MLIR Opt
- 18 MLIR Translate
- 19 MLIR Locations
- 20 MLIR Legalization
- 21 Verification
- 22 Conclusion
- 23 Memory Safety
