ML computers tensorflow

General info

• Install the package tensorflow-gpu for GPU acceleration.
• For tensorflow-gpu <= 1.12 you need CUDA9.0 TF1.13,CUDA10.0)
• For tensorflow-gpu >= 1.13 you need CUDA10.0

• By default tensorflow installs the cpu version. For being sure the GPU is being used, run these lines with python3:

from tensorflow.python.client import device_lib  
print(device_lib.list_local_devices())

• The GPU should appear as a device.

Setting up tensorflow-gpu on Ubuntu 16.04 for python3

• First we install pip3:
• python3 and pip3 installation

• Then we do:

pip3 install  tensorflow-gpu==1.2.0

• If conflict with setuptools version
• solution:

pip3 install --upgrade setuptools==41.0.0
sudo pip3 install --upgrade tensorflow-gpu==1.2.0

• How to check the version installed:

pip3 show tensorflow-gpu

• Problem: After installing tensorflow jupyter notebook was not working.
• Solution:

pip3 uninstall pyzmq
pip3 install pyzmq

• More info: https://github.com/jupyter/notebook/issues/3435

• Problem: Error -> ImportError: No module named model_utils
• Solution:

pip3 list

• and installing the same version of tensorflow-estimator than of tensorflow-gpu:

pip3 uninstall tensorflow-estimator    
pip3 install tensorflow-estimator==1.14.0