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| .venv/ | ||
| venv/ | ||
| .ipynb_checkpoints/ | ||
| .vscode/ | ||
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| # Misc | ||
| .DS_Store | ||
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| ## Benchmarking Liger Kernels | ||
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| Follow these steps to benchmark and visualize kernel performance: | ||
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| 1. Create a benchmark script | ||
| - Add your script under `benchmark/scripts/` | ||
| - Name it according to the kernel (e.g., `benchmark_<kernel_name>.py`) | ||
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| 2. Run the benchmark | ||
| - Results will be saved to `benchmark/data/all_benchmark_data.csv` | ||
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| Example: Benchmarking KTO Loss | ||
| ```bash | ||
| cd benchmark | ||
| python scripts/benchmark_kto_loss.py | ||
| ``` | ||
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| 3. Visualize results | ||
| - Use the visualization script with appropriate parameters | ||
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| Example: Visualizing KTO Loss benchmark results | ||
| ```bash | ||
| python benchmarks_visualizer.py \ | ||
| --kernel-name kto_loss \ | ||
| --metric-name memory \ | ||
| --kernel-operation-mode full | ||
| ``` | ||
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| 4. View results | ||
| - Generated plots will be saved in `benchmark/visualizations/` |
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