I want to install tensorflow in my machine but I have a problem during the installation. I tried all method but no result C:\Users\Ultra Tech>pip --default-timeout=1000 install tensorflow==2.5.0...
I guess this note from the TensorFlow documentation sums it up: GPU support on native-Windows is only available for 2.10 or earlier versions Below it you also find the compatible combinations of Python, TensorFlow, CUDA and cuDNN. In case you absolutely need to use Windows, these are the last supported versions:
I am trying to import the TensorFlow library in Python (Anaconda Spyder) on Windows: import tf.contrib.keras.preprocessing It's giving me: No module found tensorflow.contrib.keras.preprocessing ...
I have noticed that some newer TensorFlow versions are incompatible with older CUDA and cuDNN versions. Does an overview of the compatible versions or even a list of officially tested combinations ...
47 TensorFlow 2.8 was recently released and I installed it as soon as it was out. I really need it for support of higher NumPy versions and a few new features. However, after installing it in my conda environment with python3 -m pip install --upgrade tensorflow neither PyCharm nor VSCode can no longer resolve the import from tensorflow.keras ...
However, when I substituted either tensorflow-cpu or tensorflow-gpu (depending upon which one is appropriate for you) then the code was suddenly able to find tensorflow.
Edit: It is now far easier to download Tensorflow with GPU support using the command line. I have kept the old solution below, but I'd recommend you use this new solution.
I was able to load tensorflow in Jupyter notebook on Windows by: first do conda create tensorflow install, then activate tensorflow at the command prompt , then execute "Jupyter notebook" from command line.
