Tensorflow doesn't seem to see my gpu

I came across this same issue in jupyter notebooks. This could be an easy fix.

$ pip uninstall tensorflow
$ pip install tensorflow-gpu

You can check if it worked with:

tf.test.gpu_device_name()

Update 2020

It seems like tensorflow 2.0+ comes with gpu capabilities therefore pip install tensorflow should be enough

If you are using conda, you might have installed the cpu version of the tensorflow. Check package list (conda list) of the environment to see if this is the case . If so, remove the package by using conda remove tensorflow and install keras-gpu instead (conda install -c anaconda keras-gpu. This will install everything you need to run your machine learning codes in GPU. Cheers!

P.S. You should check first if you have installed the drivers correctly using nvidia-smi. By default, this is not in your PATH so you might as well need to add the folder to your path. The .exe file can be found at C:\Program Files\NVIDIA Corporation\NVSMI

When I look up your GPU, I see that it only supports CUDA Compute Capability 2.1. (Can be checked through https://developer.nvidia.com/cuda-gpus) Unfortunately, TensorFlow needs a GPU with minimum CUDA Compute Capability 3.0. https://www.tensorflow.org/get_started/os_setup#optional_install_cuda_gpus_on_linux

You might see some logs from TensorFlow checking your GPU, but ultimately the library will avoid using an unsupported GPU.