Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)when quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECOOP.2020.15
URN: urn:nbn:de:0030-drops-131726
URL: https://drops.dagstuhl.de/opus/volltexte/2020/13172/
Lagouvardos, Sifis ; Dolby, Julian ; Grech, Neville ; Antoniadis, Anastasios ; Smaragdakis, Yannis
Static Analysis of Shape in TensorFlow Programs
| pdf-format: |
|
Abstract
Machine learning has been widely adopted in diverse science and engineering domains, aided by reusable libraries and quick development patterns. The TensorFlow library is probably the best-known representative of this trend and most users employ the Python API to its powerful back-end. TensorFlow programs are susceptible to several systematic errors, especially in the dynamic typing setting of Python. We present Pythia, a static analysis that tracks the shapes of tensors across Python library calls and warns of several possible mismatches. The key technical aspects are a close modeling of library semantics with respect to tensor shape, and an identification of violations and error-prone patterns. Pythia is powerful enough to statically detect (with 84.62% precision) 11 of the 14 shape-related TensorFlow bugs in the recent Zhang et al. empirical study - an independent slice of real-world bugs.
BibTeX - Entry
@InProceedings{lagouvardos_et_al:LIPIcs:2020:13172,
author = {Sifis Lagouvardos and Julian Dolby and Neville Grech and Anastasios Antoniadis and Yannis Smaragdakis},
title = {{Static Analysis of Shape in TensorFlow Programs}},
booktitle = {34th European Conference on Object-Oriented Programming (ECOOP 2020)},
pages = {15:1--15:29},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-154-2},
ISSN = {1868-8969},
year = {2020},
volume = {166},
editor = {Robert Hirschfeld and Tobias Pape},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/13172},
URN = {urn:nbn:de:0030-drops-131726},
doi = {10.4230/LIPIcs.ECOOP.2020.15},
annote = {Keywords: Python, TensorFlow, static analysis, Doop, Wala}
}
| Keywords: | Python, TensorFlow, static analysis, Doop, Wala | |
| Seminar: | 34th European Conference on Object-Oriented Programming (ECOOP 2020) | |
| Issue date: | 2020 | |
| Date of publication: | 06.11.2020 | |
| Supplementary Material: | ECOOP 2020 Artifact Evaluation approved artifact available at https://doi.org/10.4230/DARTS.6.2.6. |
