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NNSmith: Generating Diverse and Valid Test Cases for Deep Learning
  Compilers

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

26 July 2022
Jiawei Liu
Jinkun Lin
Fabian Ruffy
Cheng Tan
Jinyang Li
Aurojit Panda
Lingming Zhang
ArXivPDFHTML

Papers citing "NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers"

11 / 11 papers shown
Title
OODTE: A Differential Testing Engine for the ONNX Optimizer
OODTE: A Differential Testing Engine for the ONNX Optimizer
Nikolaos Louloudakis
Ajitha Rajan
44
0
0
03 May 2025
ML2^22Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models
JooHyoung Cha
Munyoung Lee
Jinse Kwon
Jubin Lee
Jemin Lee
Yongin Kwon
48
0
0
16 Nov 2024
Deep Learning Library Testing: Definition, Methods and Challenges
Deep Learning Library Testing: Definition, Methods and Challenges
Xiaoyu Zhang
Weipeng Jiang
Chao Shen
Qi Li
Qian Wang
Chenhao Lin
Xiaohong Guan
AAML
35
1
0
27 Apr 2024
Glitch Tokens in Large Language Models: Categorization Taxonomy and
  Effective Detection
Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection
Yuxi Li
Yi Liu
Gelei Deng
Ying Zhang
Wenjia Song
Ling Shi
Kailong Wang
Yuekang Li
Yang Liu
Haoyu Wang
47
20
0
15 Apr 2024
White-box Compiler Fuzzing Empowered by Large Language Models
White-box Compiler Fuzzing Empowered by Large Language Models
Chenyuan Yang
Yinlin Deng
Runyu Lu
Jiayi Yao
Jiawei Liu
Reyhaneh Jabbarvand
Lingming Zhang
45
28
0
24 Oct 2023
Fuzz4All: Universal Fuzzing with Large Language Models
Fuzz4All: Universal Fuzzing with Large Language Models
Chun Xia
Matteo Paltenghi
Jia Le Tian
Michael Pradel
Lingming Zhang
ELM
18
100
0
09 Aug 2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph
  Optimization
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
Simin Chen
Shiyi Wei
Cong Liu
Wei Yang
21
6
0
11 Jul 2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case
  Study in the ONNX Ecosystem
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
Purvish Jajal
Wenxin Jiang
Arav Tewari
Erik Kocinare
Joseph Woo
Anusha Sarraf
Yung-Hsiang Lu
George K. Thiruvathukal
James C. Davis
35
0
0
30 Mar 2023
Challenges and Practices of Deep Learning Model Reengineering: A Case
  Study on Computer Vision
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision
Wenxin Jiang
Vishnu Banna
Naveen Vivek
Abhinav Goel
Nicholas Synovic
George K. Thiruvathukal
James C. Davis
VLM
40
18
0
13 Mar 2023
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Jiawei Liu
Jinjun Peng
Yuyao Wang
Lingming Zhang
AI4CE
22
14
0
04 Feb 2023
Fuzzing Hardware Like Software
Fuzzing Hardware Like Software
Timothy Trippel
K. Shin
A. Chernyakhovsky
Garret Kelly
Dominic Rizzo
Matthew Hicks
51
87
0
03 Feb 2021
1