How do I use TensorFlow GPU?

Follow this tutorial Tensorflow GPU I did it and it works perfect.

Attention! - install version 9.0! newer version is not supported by Tensorflow-gpu

Steps:

1. Uninstall your old tensorflow
2. Install tensorflow-gpu pip install tensorflow-gpu
3. Install Nvidia Graphics Card & Drivers (you probably already have)
4. Download & Install CUDA
5. Download & Install cuDNN
6. Verify by simple program

from tensorflow.python.client import device_lib print(device_lib.list_local_devices())

The 'new' way to install tensorflow GPU if you have Nvidia, is with Anaconda. Works on Windows too. With 1 line.

conda create --name tf_gpu tensorflow-gpu 

This is a shortcut for 3 commands, which you can execute separately if you want or if you already have a conda environment and do not need to create one.

1. Create an anaconda environment conda create --name tf_gpu

2. Activate the environment conda activate tf_gpu

3. Install tensorflow-GPU conda install tensorflow-gpu

You can use the conda environment.

First you need to install tensorflow-gpu, because this package is responsible for gpu computations. Also remember to run your code with environment variable CUDA_VISIBLE_DEVICES = 0 (or if you have multiple gpus, put their indices with comma). There might be some issues related to using gpu. if your tensorflow does not use gpu anyway, try this