I have been doing some experiments with PIX since it allows computing image augmentations in the GPU in contrast to torchvision which computes in the CPU and requires multiple workers to avoid bottlenecks. When performing some very simple timeit examples I observed a very high time when performing a gaussian blur in the CPU. I created a simple Colab notebook to demonstrate these experiments. I even tested transferring the image to CPU before performing the blur but it doesn't seem to make any difference. I was wondering if this is intended and I should not rely on CPU computations at all or if something is yet to be optimized for CPU computation.
I have been doing some experiments with PIX since it allows computing image augmentations in the GPU in contrast to torchvision which computes in the CPU and requires multiple workers to avoid bottlenecks. When performing some very simple
timeitexamples I observed a very high time when performing a gaussian blur in the CPU. I created a simple Colab notebook to demonstrate these experiments. I even tested transferring the image to CPU before performing the blur but it doesn't seem to make any difference. I was wondering if this is intended and I should not rely on CPU computations at all or if something is yet to be optimized for CPU computation.