tf.raw_ops.InterleaveDataset

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.InterleaveDataset

tf.raw_ops.InterleaveDataset(
    input_dataset, other_arguments, cycle_length, block_length, f, output_types,
    output_shapes, 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.

Args
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.
name	A name for the operation (optional).

Returns
A Tensor of type variant.