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, 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.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
