We provide several examples ported from pytorch/examples using ignite to display how it helps to write compact and full-featured training loops in a few lines of code:
Basic neural network training on MNIST dataset with/without ignite.contrib module:
Distributed CIFAR10 example#
Training a small variant of ResNet on CIFAR10 in various configurations: 1) single gpu, 2) single node multiple gpus, 3) multiple nodes and multilple gpus.
Inspired by torchvision/references, we provide several reproducible baselines for vision tasks:
Distributed training with mixed precision by nvidia/apex