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s2_organisation_and_version_control/exercise_files/train_solution.py

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import matplotlib.pyplot as plt
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import torch
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import typer
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from model import MyAwesomeModel
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from model import MyAwesomeModel # noqa: I001
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from data import corrupt_mnist
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from data import corrupt_mnist # noqa: I001
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu")
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