| --- |
| license: mit |
| --- |
| |
| This dataset is composed of scraping code off of github containing pytorch code, and then running torch compile on it in order to have pairs of pytorch and triton code. |
|
|
| To spot check the data you can run |
|
|
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset |
| ds = load_dataset("GPUMODE/pytorch_scrape_inductor_data") |
| |
| # Get the first row |
| row = ds["train"][0] |
| |
| print("\n=== UUID ===") |
| print(row['uuid']) |
| |
| print("\n=== PYTHON CODE ===") |
| print(row['python_code']) |
| |
| print("\n=== TRITON CODE ===") |
| print(row['triton_code']) |
| |
| ``` |
|
|
| Furthermore, you can run the python code directly by running |
| `python run_code.py dataset.parquet <index>` |
| where index is number between 0 and the length of the dataset. |
|
|
| Todo |
| - [ ] Add license information to data |
| - [ ] Expand dataset to entirety of github |
