| | --- |
| | 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 |
