Give spacemacs a try. It has a hybrid mode, which is basically two in one.
I've started reading the text version of NPR https://text.npr.org Not surprisingly, I pay much more attention to the content, rather than to the visual packaging.
I've been heavily refactoring code of my machine learning project. Now I can just watch how GPUs are fully loaded, while the CPUs are not that much. Can't wait for first validation results. It's a slightly modified model which takes images of different sizes. I don't know yet wether it gives better results, but it definitely heats up the room.
I'm a happy Macports user
I didn't try Alexnet. My network is much smaller, this behavior might be expected.
Training. I used PIL to resize images, so it's just CPU. Actually, Pillow-SIMD to get easy speedups.
Then I relaised, that resising images on the fly might be the main reason of the slow down. This idea came to me on Friday afternoon. The end of the day was intense, but resizing images once and staving the sizes I need improved the speed. Still, the GPU is not 100% busy. Now I'm looking for Monday, to see the results!
At that point TemsorFlow was complaining that the CPU supports instructions that the binary was not built with. Before building TF from source, I decided to update cuda and other Nvidia software. After a dance following outdated tutorials, I got it done. Speed improved, but still, while CPUs were at 100%, GPUs were barely loaded.
Computer science, computational linguistics, running, swimming, photography.
A beta setup of a Mastodon instance primary for family and friends.