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
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