tf.raw_ops.InterleaveDataset

Creates a dataset that applies f to the outputs of input_dataset.

tf.raw_ops.InterleaveDataset(
    input_dataset,
    other_arguments,
    cycle_length,
    block_length,
    f,
    output_types,
    output_shapes,
    metadata='',
    name=None
)

Unlike MapDataset, the f in InterleaveDataset is expected to return a Dataset variant, and InterleaveDataset will flatten successive results into a single Dataset. Unlike FlatMapDataset, InterleaveDataset will interleave sequences of up to block_length consecutive elements from cycle_length input elements.

input_dataset A Tensor of type variant.
other_arguments A list of Tensor objects.
cycle_length A Tensor of type int64.
block_length A Tensor of type int64.
f A function decorated with @Defun. A function mapping elements of input_dataset, concatenated with other_arguments, to a Dataset variant that contains elements matching output_types and output_shapes.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
metadata An optional string. Defaults to "".
name A name for the operation (optional).

A Tensor of type variant.