Method concatenate

tensorflow/python/data/ops/dataset_ops.py:799–821

Creates a `Dataset` by concatenating the given dataset with this dataset. ```python a = Dataset.range(1, 4) # ==> [ 1, 2, 3 ] b = Dataset.range(4, 8) # ==> [ 4, 5, 6, 7 ] # The input dataset and dataset to be concatenated should have the same # nested structures and output ty

(self, dataset)

    return ZipDataset(datasets)

  def concatenate(self, dataset):
    """Creates a `Dataset` by concatenating the given dataset with this dataset.

    ```python
    a = Dataset.range(1, 4)  # ==> [ 1, 2, 3 ]
    b = Dataset.range(4, 8)  # ==> [ 4, 5, 6, 7 ]

    # The input dataset and dataset to be concatenated should have the same
    # nested structures and output types.
    # c = Dataset.range(8, 14).batch(2)  # ==> [ [8, 9], [10, 11], [12, 13] ]
    # d = Dataset.from_tensor_slices([14.0, 15.0, 16.0])
    # a.concatenate(c) and a.concatenate(d) would result in error.

    a.concatenate(b)  # ==> [ 1, 2, 3, 4, 5, 6, 7 ]
    ```

    Args:
      dataset: `Dataset` to be concatenated.

    Returns:
      Dataset: A `Dataset`.
    """
    return ConcatenateDataset(self, dataset)

  def prefetch(self, buffer_size):
    """Creates a `Dataset` that prefetches elements from this dataset.