tf.raw_ops.RepeatDataset
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Creates a dataset that emits the outputs of input_dataset
count
times.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.RepeatDataset
tf.raw_ops.RepeatDataset(
input_dataset,
count,
output_types,
output_shapes,
metadata='',
name=None
)
Args |
input_dataset
|
A Tensor of type variant .
|
count
|
A Tensor of type int64 .
A scalar representing the number of times that input_dataset should
be repeated. A value of -1 indicates that it should be repeated infinitely.
|
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 2024-01-23 UTC.
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