Run code on GPU instead of CPU with detecto

Question

I am using machine learning with detecto in Python. However, whenever I run it, I get a warning saying

It looks like you're training your model on a CPU. Consider switching to a GPU; otherwise, 
this method can take hours upon hours or even days to finish. For more information, see 
https://detecto.readthedocs.io/en/latest/usage/quickstart.html#technical-requirements 

I have a GPU in the form of an Intel(R) HD graphics 4600 , but for some reason the code is running on the CPU. I have checked out the link it gives which says

By default, Detecto will run all heavy-duty code on the GPU if it's available and on the CPU otherwise.

It recommends using Google Collab if the computer doesn't have a GPU it can use, but I do have one, and don't want to use Google Collab.

Why is it running on the CPU instead of the GPU? And how can I fix it? The part of my code where I get the warning is

losses = fitmodel(loader, Test_dataset, epochs=25, lr_step_size=5, 
learning_rate=0.001, verbose=True)

The code does work, however it takes ages to run, so want to be able to run it on the GPU to save time.

Answer 1

The GPU that detecto is referring to would need to be a CUDA capable Nvidia GPU. So your Intel(R) HD graphics 4600 does not meet this criterion.

Detecto uses pytorch internally, whichs GPU support is based on CUDA . So in order to use a GPU, you would need to move to a machine that has a CUDA capable card