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Set batch num to 1 for low samples cases in the dataloader #48

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2 changes: 1 addition & 1 deletion mlpp_lib/datasets.py
Original file line number Diff line number Diff line change
Expand Up @@ -592,7 +592,7 @@ def __init__(
self.shuffle = shuffle
self.block_size = block_size
self.num_samples = len(self.dataset.x)
self.num_batches = self.num_samples // batch_size
self.num_batches = self.num_samples // batch_size if batch_size <= self.num_samples else 1
self._indices = tf.range(self.num_samples)
self._seed = 0
self._reset()
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