Tensorflow Python 3.7
Solution 1
Python 3.7 is now supported officially in TensorFlow 1.13.1:
Major Features and Improvements
- TensorFlow Lite has moved from contrib to core. This means that Python modules are under tf.lite and source code is now under tensorflow/lite rather than tensorflow/contrib/lite.
- TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0.
- Support for Python3.7 on all operating systems.
- Moved NCCL to core.
Solution 2
Firstly, you should download and set up the anaconda via anaconda and then open anaconda prompt and then follow these steps via TensorFlow. Fourthly, you should use 'pip install --ignore-installed --upgrade tensorflow==1.14.0
' to install TensorFlow 1.14 on Conda Finally, you can use TensorFlow that is version 1.14 on python 3.7
Have a Great Time.
Solution 3
You can see the status of the move to 3.7 here: https://github.com/tensorflow/tensorflow/issues/20517
Solution 4
You need to install a 64-bit version of Python and 3.7 does not work with tensorflow right now, I suggest a downgrade to 3.6.x
Falco Peregrinus
Updated on July 09, 2022Comments
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Falco Peregrinus almost 2 years
Tensorflow version for Python 3.7
Any news about tensorflow update for python 3.7. When I try to install tensorflow inside my venv like:
pip install tensorflow
I got an error:
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow -
Falco Peregrinus over 5 yearsTy, but howcome Spyder works with tensorflow, and Sypder is built on Python 3.7?
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SaddamBinSyed almost 5 yearsFYI, I have tried with 3.7.1 but it's not working. let us know if you tried the same and success
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Iman almost 5 yearsIt works on Windows 10 with Anaconda and python 3.7.3