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Originally posted by Jaspermoray September 11, 2023
Hi!
I'm using colab to do all of sleap's functions, and recently everything broke, I assume because of recent updates. At the moment, I'm getting a tensorflow issue:
A cursory google told me that its probably a incompatibility with tensorflow and keras, but I don't want to download and use versions that may not be compatible with sleap's other code. So can anybody help?
I'm looking into the issue. To keep from halting, change the pip install sleap[pypi] command to the previous release for the time being pip install sleap==1.3.1. I've also updated all the notebooks online to reflect this in e4fca4f.
Some changes between 1.3.2 and 1.3.1:
pip install sleap[pypi]
pip install sleap==1.3.1
keras==2.8.0
keras==2.8.0
Keras-Applications==1.0.8
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
Keras-Preprocessing==1.1.2
tensorboard==2.13.0
tensorboard==2.8.0
tensorboard-data-server==0.7.1
tensorboard-data-server==0.6.1
---
tensorboard-plugin-wit==1.8.1
tensorflow==2.13.0
tensorflow==2.8.4
tensorflow-datasets==4.9.2
tensorflow-datasets==4.9.2
tensorflow-estimator==2.13.0
tensorflow-estimator==2.8.0
tensorflow-gcs-config==2.13.0
tensorflow-gcs-config==2.13.0
tensorflow-hub==0.14.0
tensorflow-hub==0.14.0
tensorflow-io-gcs-filesystem==0.33.0
tensorflow-io-gcs-filesystem==0.33.0
tensorflow-metadata==1.14.0
tensorflow-metadata==1.14.0
tensorflow-probability==0.20.1
tensorflow-probability==0.20.1
tensorstore==0.1.41
tensorstore==0.1.41
Doing a !pip install tensorflow==2.8.4 after the SLEAP installation fixes the problem... Wondering how the wheel test missed this as we definitely run a training test. Looking at the logs, the wheel test prefers tensorflow==2.11 whereas colab seems to come pre-installed with the latest tensorflow==2.13. We are adding some restrictions in #1485.
The text was updated successfully, but these errors were encountered:
roomrys
changed the title
Tensorflow/Keras issue?tensorflow==2.13 version incompatible in sleap[pypi]==1.3.2Sep 12, 2023
Discussed in #1483
Originally posted by Jaspermoray September 11, 2023
Hi!
I'm using colab to do all of sleap's functions, and recently everything broke, I assume because of recent updates. At the moment, I'm getting a tensorflow issue:
A cursory google told me that its probably a incompatibility with tensorflow and keras, but I don't want to download and use versions that may not be compatible with sleap's other code. So can anybody help?
I'm looking into the issue. To keep from halting, change the
pip install sleap[pypi]
command to the previous release for the time beingpip install sleap==1.3.1
. I've also updated all the notebooks online to reflect this in e4fca4f.Some changes between 1.3.2 and 1.3.1:
pip install sleap[pypi]
pip install sleap==1.3.1
tensorboard==2.13.0
tensorboard==2.8.0
tensorboard-data-server==0.7.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.13.0
tensorflow==2.8.4
tensorflow-estimator==2.13.0
tensorflow-estimator==2.8.0
Doing a
!pip install tensorflow==2.8.4
after the SLEAP installation fixes the problem... Wondering how the wheel test missed this as we definitely run a training test. Looking at the logs, the wheel test preferstensorflow==2.11
whereas colab seems to come pre-installed with the latesttensorflow==2.13
. We are adding some restrictions in #1485.The text was updated successfully, but these errors were encountered: