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, buffer_size_min=0, metadata='', name=None )
Args | |
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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 . |
buffer_size_min |
An optional int . Defaults to 0 . |
metadata |
An optional string . Defaults to "" . |
name |
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type variant . |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/PrefetchDataset