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TensorRight: Automated Verification of Tensor Graph Rewrites

Talkat POPL 2025 · 2025-01-19..01-25· [machine-learning]
name:Jai Arora
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name:Sirui Lu
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TensorRight presents an automated verifier that proves tensor-graph rewrites correct for tensors of arbitrary rank and size by encoding rules in a new core language, TensorRight DSL, using an aggregated-axis abstraction, giving denotational semantics for 17 XLA operators, and an algorithm that computes a rank bound so unbounded verification reduces to a finite set of bounded cases checked by symbolic execution and an SMT solver. It expresses 121 XLA simplifier rules and verifies 115 of 175, usually in <1s (max 23s) with at most four bounded instances; artifacts and code are public.

AI-written summary · about

  1. 0:00Introduction
  2. 1:04Tensor computation graphs
  3. 2:52Example-driven rewriting
  4. 3:37Polymorphic rewrite rules
  5. 5:00Verification problem
  6. 6:49Need for unbounded verification
  7. 9:17Tensorite overview
  8. 11:46K-induction approach
  9. 13:31Aggregated axes handling
  10. 15:35Evaluation of Tensorite
  11. 17:00Conclusion
  12. 17:46Q&A
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