Tensorflow 2.0 List_physical_devices Doesn't Detect My Gpu

I recently install tensorflow 2.0 on my computer but when I try to run it on my GPU, the function tf.config.experimental.list_physical_devices('GPU') on Jupyter or Vitual Studio Co

Solution 1:

Providing the solution here (Answer Section), even though it is present in the Comment Section for the benefit of the community.

Instead of pip install tensorflow, you can try pip3 install --upgrade tensorflow-gpu or just remove tensorflow and then installing "tensorflow-gpu will resolves your issue.

After installation of Tensorflow GPU, you can check GPU as below

physical_devices = tf.config.experimental.list_physical_devices('GPU')
print(physical_devices)
if physical_devices:
  tf.config.experimental.set_memory_growth(physical_devices[0], True)

Output:

[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

Solution 2:

Upgrading simply worked for me.:

pip3 install --upgrade tensorflow-gpu

and the device name searched has to be 'XLA_GPU', and does not respond with solo 'GPU' search term. But it also raised another error when setting the memory growth which is not supported by 'XLA' gpus.