tf.raw_ops.InterleaveDataset
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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.
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 .
|
metadata
|
An optional string . Defaults to "" .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type variant .
|
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Last updated 2022-10-28 UTC.
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