sample.py [62:69]:
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	transform = transforms.Compose([
		transforms.Resize(args.crop_size),
		transforms.ToTensor(),
		transforms.Normalize((0.485, 0.456, 0.406),
			(0.229, 0.224, 0.225))])

	with open(args.vocab_path, 'rb') as f:
		vocab = pickle.load(f)
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train.py [26:34]:
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	transform = transforms.Compose([
		transforms.Resize(args.crop_size),
		transforms.ToTensor(),
		transforms.Normalize((0.485, 0.456, 0.406),
			(0.229, 0.224, 0.225))])

	# load vocab wrapper
	with open(args.vocab_path, 'rb') as f:
		vocab = pickle.load(f)
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