Functional models are way easier to work with, and I don't need any advanced features that would require model subclassing
20 lines
540 B
Python
20 lines
540 B
Python
import tensorflow_datasets as tfds
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def load_nyu():
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builder = tfds.builder('nyu_depth_v2')
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builder.download_and_prepare(download_dir='../nyu')
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return builder.as_dataset(split='train', shuffle_files=True)
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def print_hi(name):
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# Use a breakpoint in the code line below to debug your script.
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print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint.
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# Press the green button in the gutter to run the script.
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if __name__ == '__main__':
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load_nyu()
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# See PyCharm help at https://www.jetbrains.com/help/pycharm/
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