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When calling batch_update with a np.array containing an nan, I would expect it to either ignore the nan, or raise an error. It seems to raise an error if batch_update contains a NoneType (which np.nan is not).
Instead, the process just gobbles up as much memory as it can find.
The text was updated successfully, but these errors were encountered:
When calling batch_update with a np.array containing an nan, I would expect it to either ignore the nan, or raise an error. It seems to raise an error if batch_update contains a NoneType (which np.nan is not).
Instead, the process just gobbles up as much memory as it can find.
The text was updated successfully, but these errors were encountered: