Creates a dataset that applies f
to the outputs of input_dataset
.
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Compat aliases for migration
See Migration guide for more details.
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_
|
A Tensor of type variant .
|
other_
|
A list of Tensor objects.
|
cycle_
|
A Tensor of type int64 .
|
block_
|
A Tensor of type int64 .
|
f
|
A function decorated with @Defun.
A function mapping elements of input_ , concatenated with
other_ , to a Dataset variant that contains elements matching
output_ and output_ .
|
output_
|
A list of tf. that has length >= 1 .
|
output_
|
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 .
|