Difference between revisions of "ML computers tensorflow"
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(Created page with " ==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 nee...") |
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*For tensorflow-gpu <= 1.12 you need CUDA9.0 TF1.13,CUDA10.0) | *For tensorflow-gpu <= 1.12 you need CUDA9.0 TF1.13,CUDA10.0) | ||
*For tensorflow-gpu >= 1.13 you need CUDA10.0 | *For tensorflow-gpu >= 1.13 you need CUDA10.0 | ||
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*By default tensorflow installs the cpu version. For being sure the GPU is being used, run these lines with python3: | *By default tensorflow installs the cpu version. For being sure the GPU is being used, run these lines with python3: | ||
Revision as of 21:37, 27 November 2019
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:
Link to wiki python
- 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