PET - Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections

PET - Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections

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Intro

1 of 13

1 of 13

Intro

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Classroom Contents

PET - Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections

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  1. 1 Intro
  2. 2 Tensor Program Transformations
  3. 3 Current Systems Consider only Fully Equivalent Transformations
  4. 4 Motivating Example
  5. 5 PET Overview
  6. 6 Key Challenges
  7. 7 Mutant Generator
  8. 8 Challenges: Examine Transformations
  9. 9 A Strawman Approach
  10. 10 Multi-Linear Tensor Program (MLTP)
  11. 11 Mutant Corrector
  12. 12 Program Optimizer
  13. 13 More Evaluation in Paper

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