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 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 ...
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:
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 ...
Caution: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin From TensorFlow 2.11 onwards, the only way to get GPU support on Windows is to use WSL2.
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.
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 ...
