CODEWITHSUNDEEP
deep-learningneural-networktensorflow2.0incompatibility
Fernando Augusto
Fernando Augusto

Reputation: 21

problem in use batchNormalization in the first layer with tensorflow 2.2

I need to use batchnormalization in the first layer and still use tensorflow 2.2, as the place where the trained network model will be sent has a tensorflow of 2.2 and cannot be updated. My code

There is no problem running the code for tf>=2.3.0, but it is incompatible elsewhere. Would anyone know how to normalize the first layer with BatchNormalization and using tensorflow 2.2? Problem with tensorflow 2.2.3

To TF>=2.3.0

Upvotes: 0

Views: 34

Answers (1)

Fernando Augusto
Fernando Augusto

Reputation: 21

My question has been solved in root cern forum. To run, I use HTCondor (a cluster) and I used: #!/bin/bash source /cvmfs/sft.cern.ch/lcg/views/LCG_96py3cu10/x86_64-centos7-gcc7-opt/setup.sh cd /afs/cern.ch/work/f/fassunca/private/

this use "ancient version" tensorflow (1.14), so I changed to: source /cvmfs/sft.cern.ch/lcg/views/LCG_98py3cu10/x86_64-centos7-gcc8-opt/setup.sh In this source, the tensorflow is 2 and compatibility with all versions . thank you to everybody

Upvotes: 0

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