Comments (3)
Yeah,
Pytorch Lightning changed the way you log metrics after a certain update to make things less weird. We don't need to use the same Pytorch Lightning version for every single example though. Each example folder can use whichever version it chooses. So, for the older examples, we can just specify that they use the older Pytorch Lightning version and for the newer examples we can specify that they use the newer version. That solves the problem right?
from pykale.
Yeah, it makes sense. However, we need to create different virtual environments to run different examples. We can update all the codes at one time later when Pytorch Lightning has a very stable version.
from pykale.
Exactly
from pykale.
Related Issues (20)
- PyTorch 2.0 HOT 1
- [Bug] Error raised by version mismatch between PyTorch and Lightning while running tutorial HOT 2
- [Bug] Error raised rdkit from kale\prepdata\chem_transform.py on windows, python 3.10 (with ubuntu no error)
- [Bug] Error raised by 'np.float' which was a deprecated alias for the builtin 'float'.
- Merging all the cnn modules such as seq_nn.py, attention_cnn.py into one cnn.py module
- Refactor QBin to be one level up from Pykale repo, under the pykale umbrella HOT 2
- [Refactor] Considering the incorporation of the OneHotEncoder from scikit-learn into PyKale HOT 3
- [Refactor] Merge all evaluation metrics into one module HOT 3
- [Feature Request] Consider input parameter validation in PyKale
- [Refactor] Merge modules `losses`, `distance`, and `metrics` to one HOT 8
- Changelog workflow runs failed
- Support to load parameters from a saved checkpoint HOT 1
- Quantile Binning Refactor HOT 7
- [Refactor] Let one config file contain all hyperparameters. HOT 3
- [Bug] Testing data is downloaded into different directory paths
- [Feature Request] Optimizing functional test time with pytest-testmon HOT 1
- Incorrect loss and accuracy found in the digit_dann example
- [Refactor] GitHub actions caching HOT 1
- Module visibility issues
- [Refactor] Modifying add_protonet PR to align with the demo data download separation. HOT 5
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