[tfds] Fix tfds.as_numpy which now returns a reusable iterable.
`next(ds)` -> `next(iter(ds))` Context: https://github.com/tensorflow/datasets/issues/2270 PiperOrigin-RevId: 324951455
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1 changed files with 2 additions and 2 deletions
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@ -139,8 +139,8 @@ def load_data():
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test_dataset = tfds.load(name='lm1b/subwords8k',
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split=tfds.Split.TEST,
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batch_size=10000)
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train_data = next(tfds.as_numpy(train_dataset))
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test_data = next(tfds.as_numpy(test_dataset))
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train_data = next(iter(tfds.as_numpy(train_dataset)))
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test_data = next(iter(tfds.as_numpy(test_dataset)))
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train_data = train_data['text'].flatten()
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test_data = test_data['text'].flatten()
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else:
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