tf.raw_ops.PrefetchDataset
Creates a dataset that asynchronously prefetches elements from input_dataset
.
tf.raw_ops.PrefetchDataset(
input_dataset, buffer_size, output_types, output_shapes, slack_period=0,
legacy_autotune=True, name=None
)
Args |
input_dataset
|
A Tensor of type variant .
|
buffer_size
|
A Tensor of type int64 .
The maximum number of elements to buffer in an iterator over
this dataset.
|
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 .
|
slack_period
|
An optional int . Defaults to 0 .
|
legacy_autotune
|
An optional bool . Defaults to True .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type variant .
|
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Last updated 2020-10-01 UTC.
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