Method prefetch

tensorflow/python/data/ops/dataset_ops.py:823–839

Creates a `Dataset` that prefetches elements from this dataset. Note: Like other `Dataset` methods, prefetch operates on the elements of the input dataset. It has no concept of examples vs. batches. `examples.prefetch(2)` will prefetch two elements (2 examples), while `examples.batc

(self, buffer_size)

    return ConcatenateDataset(self, dataset)

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

    Note: Like other `Dataset` methods, prefetch operates on the
    elements of the input dataset. It has no concept of examples vs. batches.
    `examples.prefetch(2)` will prefetch two elements (2 examples),
    while `examples.batch(20).prefetch(2)` will prefetch 2 elements
    (2 batches, of 20 examples each).

    Args:
      buffer_size: A `tf.int64` scalar `tf.Tensor`, representing the maximum
        number of elements that will be buffered when prefetching.

    Returns:
      Dataset: A `Dataset`.
    """
    return PrefetchDataset(self, buffer_size)

  @staticmethod
  def list_files(file_pattern, shuffle=None, seed=None):