/TensorFlow 2.4


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

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.
name A name for the operation (optional).
A Tensor of type variant.

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Code samples licensed under the Apache 2.0 License.