Difference between revisions of "ML computers tensorflow"
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==Setting up tensorflow-gpu on Ubuntu 16.04 for python3== | ==Setting up tensorflow-gpu on Ubuntu 16.04 for python3== | ||
| − | *First we install pip3: | + | *First we install pip3: [[ML computers python|python3 and pip3 installation]] |
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*Then we do: | *Then we do: | ||
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pip3 uninstall tensorflow-estimator | pip3 uninstall tensorflow-estimator | ||
pip3 install tensorflow-estimator==1.14.0 | pip3 install tensorflow-estimator==1.14.0 | ||
| + | [[Category:AI & Machine Learning]] | ||
Latest revision as of 13:43, 28 November 2022
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
- 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