Fix KernelShap Overflow Issues #649
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@vivekmig has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
miguelmartin75
approved these changes
Apr 6, 2021
captum/attr/_core/lime.py
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| @@ -511,17 +511,17 @@ def attribute( | |||
| if show_progress: | |||
| attr_progress.close() | |||
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| combined_interp_inps = torch.cat(interpretable_inps) | |||
| combined_interp_inps = torch.cat(interpretable_inps).float() | |||
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Wondering if .double() would be a good alternative in some cases?
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This ensures that Lime / Kernel Shap interpretable model inputs, targets, and similarity scores are floats, which avoids sporadic int overflow issues occurring in Kernel Shap.