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