Open JGSweets opened 5 months ago
Not 100% positive, but this might be resolved just by setting name=name
looks like keras 3.0.0 changes the metric format for __init__
https://github.com/keras-team/keras/blob/v3.1.1/keras/metrics/metric.py#L9
Also, might need to upgrade the keras version.
Yep, we noticed this last week. Requiring tensorflow==2.15.1 is a current workaround.
: yep, temporary fix is the current recommended workaround.
Thanks for documenting in an issue @JGSweets 👍
Looks like that might resolve that
issue.
The new issue being the models all need to be updated to use Version 3 of keras.
ValueError: File format not supported: filepath=.... Keras 3 only supports V3
.keras
files and legacy H5 format files (.h5
extension). Note that the legacy SavedModel format is not supported byload_model()
in Keras 3.
And TF's release notes: https://github.com/tensorflow/tensorflow/releases/tag/v2.16.1
Yeah, I think you are right -- after I saw the errors on the PR checks, looks like the model would need a version update itself
Just a note that the current workaround does not work on Windows, as Tensorflow version 2.15.1 is not available.
Any update on this? Thanks!
Any update on this? Thanks!
Not yet, @JGSweets. Thanks for the bump though -- haven't forgot about it
General Information:
linux/x86_64
3.10.14
DataProfiler==0.10.8
Describe the bug: On line: https://github.com/capitalone/DataProfiler/blob/f8b3e5dbd4b76f0ecc291911ace9e8e21cf1ecb1/dataprofiler/labelers/labeler_utils.py#L360 I receive the error:
TypeError: Metric.add_weight() got multiple values for argument 'shape'
Possibly related to: https://stackoverflow.com/questions/62976818/add-weight-got-multiple-values-for-argument-name-while-using-a-custom-attent
Current TF Version:
tensorflow==2.16.1
To Reproduce:
Expected behavior: Loads the labeler
Additional context: I think this has to do with something in TF updating, but the DP not updating with it. Requiring
tensorflow==2.15.1
is a current workaround.