tf.raw_ops.OptimizeDatasetV2
bookmark_borderbookmark
Stay organized with collections
Save and categorize content based on your preferences.
Creates a dataset by applying related optimizations to input_dataset.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.OptimizeDatasetV2
tf.raw_ops.OptimizeDatasetV2(
input_dataset,
optimizations_enabled,
optimizations_disabled,
optimizations_default,
output_types,
output_shapes,
optimization_configs=[],
name=None
)
Creates a dataset by applying related optimizations to input_dataset.
Args |
|---|
input_dataset
|
A Tensor of type variant.
A variant tensor representing the input dataset.
|
optimizations_enabled
|
A Tensor of type string.
A tf.string vector tf.Tensor identifying user enabled optimizations.
|
optimizations_disabled
|
A Tensor of type string.
A tf.string vector tf.Tensor identifying user disabled optimizations.
|
optimizations_default
|
A Tensor of type string.
A tf.string vector tf.Tensor identifying optimizations by default.
|
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.
|
optimization_configs
|
An optional list of strings. Defaults to [].
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.OptimizeDatasetV2\n\n\u003cbr /\u003e\n\nCreates a dataset by applying related optimizations to `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.OptimizeDatasetV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/OptimizeDatasetV2)\n\n\u003cbr /\u003e\n\n tf.raw_ops.OptimizeDatasetV2(\n input_dataset,\n optimizations_enabled,\n optimizations_disabled,\n optimizations_default,\n output_types,\n output_shapes,\n optimization_configs=[],\n name=None\n )\n\nCreates a dataset by applying related optimizations to `input_dataset`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------------------|----------------------------------------------------------------------------------------------------------------------------------------------|\n| `input_dataset` | A `Tensor` of type `variant`. A variant tensor representing the input dataset. |\n| `optimizations_enabled` | A `Tensor` of type `string`. A [`tf.string`](../../tf#string) vector [`tf.Tensor`](../../tf/Tensor) identifying user enabled optimizations. |\n| `optimizations_disabled` | A `Tensor` of type `string`. A [`tf.string`](../../tf#string) vector [`tf.Tensor`](../../tf/Tensor) identifying user disabled optimizations. |\n| `optimizations_default` | A `Tensor` of type `string`. A [`tf.string`](../../tf#string) vector [`tf.Tensor`](../../tf/Tensor) identifying optimizations by default. |\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| `optimization_configs` | An optional list of `strings`. 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"]]
