GCI100 DisableGradientForModelEval #Python #DLG #RulesSpecifications - #384
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dedece35 merged 4 commits intoJul 18, 2025
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Co-authored-by: DataLabGroupe-CreditAgricole <GITHUB.DATALABGROUPE@CREDIT-AGRICOLE-SA.FR>
Co-authored-by: DataLabGroupe-CreditAgricole <GITHUB.DATALABGROUPE@CREDIT-AGRICOLE-SA.FR>
dedece35
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| == Conclusion | ||
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| The rule is relevant. Wrapping inference in `torch.no_grad()`: |
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in the "emissions CO2" is not so relevant for me ... or else I don't undertsand this graph ?
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in the "emissions CO2" is not so relevant for me ... or else I don't undertsand this graph ?
indeed, the difference isn't big in terms of ratio, but since inference is an extremely greedy process for large models, the carbon delta is quite high !
Co-authored-by: DataLabGroupe-CreditAgricole <GITHUB.DATALABGROUPE@CREDIT-AGRICOLE-SA.FR>
dedece35
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Jul 18, 2025
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This is specific to deep learning in Python using PyTorch