Study data
Introduced by Vélez et al. in Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study
File Descriptions
| File | Description |
|---|---|
commit_categorizations.csv |
Categorizations for the commits in our dataset. |
commits.csv |
Information for the commits in our dataset |
datasets.csv |
Contains the names and descriptions of our datasets. |
issue_categorizations.csv |
Categorizations for the chosen issues from our dataset. |
issues.csv |
Information for the issues in our dataset. |
pipeline_stages.csv |
DL pipeline stages and their respective descriptions. |
problem_categories.csv |
Problem categories and their respective descriptions. |
problem_causes.csv |
Problem causes and their respective descriptions. |
problem_fixes.csv |
Problem fixes and their respective descriptions. |
problem_symptoms.csv |
Problem symptoms and their respective descriptions. |
studied_subjects_commits.csv |
Project data for commits. |
studied_subjects_issues.csv |
Project data for issues. |
Column Descriptions
commit_categorizations.csv
| Column | Description |
|---|---|
tf.function related fix? |
TRUE when a bug fix related to tf.function was found and FALSE otherwise. If FALSE, subsequent column values will be blank. |
stage |
DL pipeline stage where the problem fix was found. |
issue_categorizations.csv
| Column | Description |
|---|---|
tf.function related problem? |
TRUE when a bug related to tf.function was found and FALSE otherwise. If FALSE, subsequent column values will be blank. |
stage |
DL pipeline stage where the problem was found. |
GH_id |
GitHub issue unique identifier. |
issues.csv
| Column | Description |
|---|---|
GH_id |
GitHub issue unique identifier. |
Papers
| Paper | Code | Results | Date | Stars |
|---|
