tf.raw_ops.InterleaveDataset

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

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tf.compat.v1.raw_ops.InterleaveDataset

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_lengthconsecutive 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 withother_arguments, to a Dataset variant that contains elements matchingoutput_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).

Returns
A Tensor of type variant.

tf.raw_ops.InterleaveDataset | TensorFlow v2.16.1 (original) (raw)

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