Created
July 5, 2018 01:55
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Interleaving multiple datasets
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| datasets = [tf.data.Dataset...] | |
| def concat_datasets(datasets): | |
| ds0 = tf.data.Dataset.from_tensors(datasets[0]) | |
| for ds1 in datasets[1:]: | |
| ds0 = ds0.concatenate(tf.data.Dataset.from_tensors(ds1)) | |
| return ds0 | |
| ds = tf.data.Dataset.zip(tuple(datasets)).flat_map( | |
| lambda *args: concat_datasets(args) | |
| ) |
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