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  2. Installing TensorFlow with Pip Python on Windows

    stackoverflow.com/questions/41317928

    Here is what i did to get tensorflow working with windows. Download python 3.5.0 (64 bit from Python Releases for Windows) Install it and check python version by running below command in cmd: python --version Python 3.5.0 Then run below command to upgrade pip to latest. python -m pip install --upgrade pip Now install tensorflow using pip

  3. Tensorflow seems to need special versions of tools and libs. Pip only takes care of python version. To handle this in a professional way (means it save tremendos time for me and others) you have to set a special environment for each software like this.

  4. If I try and install TensorFlow on my machine, it'll install numpy 1.19.5. If I try and install Pandas, it'll install numpy 1.22. If I stick with numpy 1.19.5 and try to import pandas, I get a complaint from pandas: ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

  5. python - Cannot uninstall Tensorflow - Stack Overflow

    stackoverflow.com/questions/51096195

    python -m pip uninstall tensorflow directly in Command Prompt (for windows) instead of running the code in jupyter or VS. if you had installed tensorflow-gpu previously, you should edit above code same as below in the command prompt: python -m pip uninstall tensorflow-gpu

  6. In this directory, search pip with python -m pip then install package. E.g. python -m pip install ipywidgets-m module-name Searches sys.path for the named module and runs the corresponding .py file as a script. OR. GO TO scripts from CMD. This is where Pip stays :) cd C:\Users\User name\AppData\Local\Programs\Python\Python37-32\Scripts> Then ...

  7. !pip install --upgrade tensorflow==<version> Although the best practice is to use the latest version of Python and TensorFlow since older versions have vulnerability issues. So be cautious when downgrading.

  8. pip install --upgrade --force-reinstall <package> When upgrading, reinstall all packages even if they are already up-to-date. pip install -I <package> pip install --ignore-installed <package> Ignore the installed packages (reinstalling instead).

  9. and install the tensorflow using: conda install pip pip install tensorflow-gpu # pip install tensorflow-gpu==<specify version> Or pip install --upgrade pip pip install tensorflow-gpu Finally, verify the GPU setup with the below code: import tensorflow as tf tf.config.list_physical_devices('GPU') Please refer to this link for more information.

  10. Pip install failure for tensorflow-gpu - OSError: raw write() returned invalid length 59 Could not install packages due to an EnvironmentError: [Errno 28] No space left on device

  11. Instead of using the doc's command (conda create -n tensorflow pip python=2.7 # or python=3.3, etc.) which wanted to install python2.7 in the conda environment, and kept erroring out saying the module can't be found when following the installation validation steps, I used conda create -n tensorflow pip python=3 to make sure python3 was ...