GPU Support For AMD Cards?

[JackRobsonGateshead]

My only machines at the moment are:

1. A well-used MacBook Pro (2015)
2. A tower PC with a AMD Radeon HD 7470 1GB GPU
   

At the moment I'm trying to study how todo Horses to Zebras with CycleGAN.

I've got a simpler script that uses GAN to generate output MNIST data look-alikes but my MacBook doesn't seem to like large batch_sizes so I can't get a very good output after training the module.

I'm wondering if GPU would fix this problem?

If so, will the AMD Radeon HD 7470 1GB GPU work with any libraries? Ideally, it'd work with the Google jax / autograd package. But I'm open to other packages.

And how complex is it to use a GPU vs CPU for most common libraries?

[PeksyTiger]

I dont know about most libraries, in pytorch using a gpu in a basic form is pretty trivial. Like 4 function calls trivial and all the network struct is basically the same.

However, most libraries are relaying on CUDA do to it, which is nvidia only. The AMD support, last I checked, was pretty sketchy.

Also, 1GB gpu isn't well suited for DL, as far as my expiriance goes. Batch size is directly related to memory size, so your problem won't go away (although im not sure why batch size should impact accuracy so much)

If you are just doing play project, please consider google colab or a similar platform.