Upgrade e3nn
to fix batch normalization runtime issue with final_conv
module
#155
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Starting with version
0.5.1
ofe3nn
, the authors of the library are now guarding against attempting to aggregate scalar means if no scalar irreps are given as input: https://github.com/e3nn/e3nn/blob/bb71b3c75c38c6d633cfebe9988b1fb1563432c0/e3nn/nn/_batchnorm.py#L191(This PR also adds
wandb
to the installation instructions for new Conda environments)It's possible version
0.5.0
ofe3nn
was pinned accidentally, even though the source code will only run with0.5.1
ofe3nn
. I hope this helps!