Hi, I’m trying to write a report about GPU/CPU performance analysis.
I’ve used CIFAR-10 dataset, and I’ve got some data from profiling tool (VTune Amplifier, Nvidia Nsight Compute), while executing ResNet18.
I’m looking for bigger images. (CIFAR-10 is only 32x32) I’ve heard about ImageNet, but I think it is too heavy for me. I’m a beginner in deep learning. Are there any popular image datasets used in analyzing computing performance? Also I wanna get recommendation about the models. Maybe I’ll use one or more CNN models for it.
The last question is, for performance analysis, should I use training code or just do inference?