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# Licensed under the Apache License, Version 2.0 (the "License"). You
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# https://github.com/fastai/fastai/blob/master/nbs/examples/mnist_items.py
# imports and the code was as much preserved to match the official example

from fastai.vision.all import *

items = get_image_files(untar_data(URLs.MNIST))
splits = GrandparentSplitter(train_name="training", valid_name="testing")(items)
tds = Datasets(items, [PILImageBW.create, [parent_label, Categorize()]], splits=splits)

if __name__ == "__main__":
    data = tds.dataloaders(bs=256, after_item=[ToTensor(), IntToFloatTensor()]).cuda()
    learn = vision_learner(data, resnet18, metrics=accuracy, path="/opt/ml", model_dir="model")
    learn.fit_one_cycle(1, 1e-2)
    learn.save("model")