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ant0nsc
previously approved these changes
Feb 3, 2022
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Code looks good - but do we have any way of testing it?
InnerEye/ML/configs/histo_configs/classification/DeepSMILEPanda.py
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InnerEye/ML/configs/histo_configs/classification/DeepSMILEPanda.py
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dccastro
reviewed
Feb 3, 2022
dccastro
reviewed
Feb 3, 2022
…ft/InnerEye-DeepLearning into hsharma/pandahistosslmil
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As discussed I think we need to make this more robust:
- makes sure it can run on multi-gpu and doesn't hit memory errors
- adding tests
But I am happy to approve as first version so that more people can help out
vale-salvatelli
previously approved these changes
Feb 8, 2022
dccastro
approved these changes
Feb 9, 2022
histossl_encoder.fc = torch.nn.Sequential() | ||
for param in histossl_encoder.parameters(): | ||
param.requires_grad = False | ||
return histossl_encoder, num_features # type: ignore |
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Minor suggestion to revert these changes in _get_encoder()
, as setup_feature_extractor()
now implements the same behaviour.
vale-salvatelli
approved these changes
Feb 9, 2022
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