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["0102", "0295", "0071", "0174", "0106", "0116", "0065"]
eval_batch_size = 25 # how many images to sample during evaluation num_epochs = 10000 gradient_accumulation_steps = 1 learning_rate = 5e-5
transforms.Resize((config.image_size, config.image_size)),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.Normalize([0.5], [0.5]),
"DownBlock2D", # a regular ResNet downsampling block "DownBlock2D", "DownBlock2D", "DownBlock2D", "AttnDownBlock2D", # a ResNet downsampling block with spatial self-attention "DownBlock2D", ),
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