Intro
Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Ignite with fastai
library(fastai)
library(magrittr)
data = Data_Loaders(get_data_loaders(64, 128))$cuda()
nn = nn()
opt_func = partial(SGD, momentum=0.5)
learn = Learner(data, Net(), loss_func = nn$NLLLoss(), opt_func = opt_func, metrics = accuracy)
learn %>% fit_one_cycle(1, 0.01)epoch train_loss valid_loss accuracy time
0 1.084753 0.908347 0.826600 00:13