Could not load dynamic library ‘cudart64_101.dll’ on tensorflow CPU-only installation

If you are seeing the error message “Could not load dynamic library ‘cudart64_101.dll’ on tensorflow CPU-only installation” when trying to run TensorFlow on your computer, it likely means that the CUDA runtime library cudart64_101.dll is missing from your system.

TensorFlow is a popular open-source machine learning library developed by Google that uses CUDA to accelerate computations on GPU devices. However, if you are running TensorFlow in CPU-only mode, you do not need the CUDA runtime library and seeing this error message indicates that TensorFlow is trying to load the CUDA library unnecessarily.

To resolve this issue, you can try the following steps:

1. Make sure you have installed the CPU-only version of TensorFlow. You can install it using pip with the command: pip install tensorflow-cpu
2. Check your TensorFlow installation to ensure that it is using the CPU-only version. You can do this by running import tensorflow as tf in a Python console and checking the GPU devices available using tf.config.experimental.list_physical_devices('GPU')
3. If you have installed any other versions of TensorFlow that include GPU support, uninstall them to avoid conflicts.
4. Update your TensorFlow installation to the latest version to ensure compatibility with your system.
5. If the error persists, try reinstalling TensorFlow following the official installation instructions on the TensorFlow website.

By following these steps, you should be able to resolve the issue of the missing cudart64_101.dll library when running TensorFlow in CPU-only mode.