tf.raw_ops.PrefetchDataset
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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 |
|---|
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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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.PrefetchDataset\n\n\u003cbr /\u003e\n\nCreates a dataset that asynchronously prefetches elements from `input_dataset`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.PrefetchDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/PrefetchDataset)\n\n\u003cbr /\u003e\n\n tf.raw_ops.PrefetchDataset(\n input_dataset,\n buffer_size,\n output_types,\n output_shapes,\n slack_period=0,\n legacy_autotune=True,\n buffer_size_min=0,\n metadata='',\n name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------------|--------------------------------------------------------------------------------------------------------------|\n| `input_dataset` | A `Tensor` of type `variant`. |\n| `buffer_size` | A `Tensor` of type `int64`. The maximum number of elements to buffer in an iterator over this dataset. |\n| `output_types` | A list of `tf.DTypes` that has length `\u003e= 1`. |\n| `output_shapes` | A list of shapes (each a [`tf.TensorShape`](../../tf/TensorShape) or list of `ints`) that has length `\u003e= 1`. |\n| `slack_period` | An optional `int`. Defaults to `0`. |\n| `legacy_autotune` | An optional `bool`. Defaults to `True`. |\n| `buffer_size_min` | An optional `int`. Defaults to `0`. |\n| `metadata` | An optional `string`. Defaults to `\"\"`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `variant`. ||\n\n\u003cbr /\u003e"]]
