Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
PrelinearizeTuple
Stay organized with collections
Save and categorize content based on your preferences.
An op which linearizes multiple Tensor values to an opaque variant tensor.
Inherited Methods
From class
java.lang.Object
|
boolean
|
equals(Object arg0)
|
|
final
Class<?>
|
getClass()
|
|
int
|
hashCode()
|
|
final
void
|
notify()
|
|
final
void
|
notifyAll()
|
|
String
|
toString()
|
|
final
void
|
wait(long arg0, int arg1)
|
|
final
void
|
wait(long arg0)
|
|
final
void
|
wait()
|
Public Methods
public
Output<Object>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new PrelinearizeTuple operation.
Parameters
| scope |
current scope |
| inputs |
A list of tensors that will be provided using the infeed mechanism. |
| shapes |
The shapes of each tensor in `inputs`. |
| options |
carries optional attributes values |
Returns
- a new instance of PrelinearizeTuple
Parameters
| layouts |
A vector holding the requested layout in minor-to-major sequence for all the
tuple shapes in the order the shapes appear in the "shapes" input. The layout
elements for a sub-shape can be set to -1 in which case the corresponding layout
will be computed by the infeed operation.
|
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.
Last updated 2022-02-12 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-02-12 UTC."],[],[],null,["# PrelinearizeTuple\n\npublic final class **PrelinearizeTuple** \nAn op which linearizes multiple Tensor values to an opaque variant tensor. \n\n### Nested Classes\n\n|-------|---|---|------------------------------------------------------------------------------------------------------|\n| class | [PrelinearizeTuple.Options](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple.Options) || Optional attributes for [PrelinearizeTuple](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple) |\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple#asOutput())() Returns the symbolic handle of a tensor. |\n| static [PrelinearizeTuple](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple) | [create](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple#create(org.tensorflow.op.Scope,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003c?\u003e\u003e,%20java.util.List\u003corg.tensorflow.Shape\u003e,%20org.tensorflow.op.core.PrelinearizeTuple.Options...))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e inputs, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e shapes, [Options...](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple.Options) options) Factory method to create a class wrapping a new PrelinearizeTuple operation. |\n| static [PrelinearizeTuple.Options](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple.Options) | [layouts](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple#layouts(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e layouts) |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e | [output](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple#output())() |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.PrimitiveOp](/api_docs/java/org/tensorflow/op/PrimitiveOp) \n\n|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/api_docs/java/org/tensorflow/op/PrimitiveOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/api_docs/java/org/tensorflow/op/PrimitiveOp#hashCode())() |\n| [Operation](/api_docs/java/org/tensorflow/Operation) | [op](/api_docs/java/org/tensorflow/op/PrimitiveOp#op())() Returns the underlying [Operation](/api_docs/java/org/tensorflow/Operation) |\n| final String | [toString](/api_docs/java/org/tensorflow/op/PrimitiveOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.Operand](/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| abstract [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e | [asOutput](/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of a tensor. |\n\nPublic Methods\n--------------\n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of a tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [PrelinearizeTuple](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e inputs, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e shapes, [Options...](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple.Options) options)\n\nFactory method to create a class wrapping a new PrelinearizeTuple operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputs | A list of tensors that will be provided using the infeed mechanism. |\n| shapes | The shapes of each tensor in \\`inputs\\`. |\n| options | carries optional attributes values |\n|---------|---------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of PrelinearizeTuple \n\n#### public static [PrelinearizeTuple.Options](/api_docs/java/org/tensorflow/op/core/PrelinearizeTuple.Options)\n**layouts**\n(List\\\u003cLong\\\u003e layouts)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| layouts | A vector holding the requested layout in minor-to-major sequence for all the tuple shapes in the order the shapes appear in the \"shapes\" input. The layout elements for a sub-shape can be set to -1 in which case the corresponding layout will be computed by the infeed operation. |\n|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e\n**output**\n()\n\n\u003cbr /\u003e"]]
