tf.raw_ops.PrefetchDataset

Creates a dataset that asynchronously prefetches elements from input_dataset.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.PrefetchDataset

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
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.