Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
AssignVariableXlaConcatND
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Concats input tensor across all dimensions.
An op which merges slices the input tensor based on the given num_splits
attribute, strips paddings optionally, and writes the merged tensor without
paddings to the resource variable.
This op may be generated via the TPU bridge.
For example, with `input` tensor:
[[0, 1],
[4, 5]]
[[2, 3],
[6, 7]]
[[8, 9],
[12, 13]]
[[10, 11],
[14, 15]]
`num_splits`:
[2, 2]
and `paddings`:
[1, 1]
the expected `outputs` is:
[[0, 1, 2],
[4, 5, 6],
[8, 9, 10]]
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
Factory method to create a class wrapping a new AssignVariableXlaConcatND operation.
Parameters
scope |
current scope |
resource |
Resource variable for concatenated input tensors across all dimensions.
}
in_arg {
name: "inputs"
description: <
|
numConcats |
Number of ways to merge per dimension. |
options |
carries optional attributes values |
Returns
- a new instance of AssignVariableXlaConcatND
Parameters
paddings |
Optional list of right paddings per dimension to strip from the final merged
tensor. These paddings must not exceed the dimension size of the merged result
prior to stripping paddings.
|
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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,["# AssignVariableXlaConcatND\n\npublic final class **AssignVariableXlaConcatND** \nConcats input tensor across all dimensions.\n\n\nAn op which merges slices the input tensor based on the given num_splits\nattribute, strips paddings optionally, and writes the merged tensor without\npaddings to the resource variable.\n\n\nThis op may be generated via the TPU bridge.\n\n\nFor example, with \\`input\\` tensor: \n\n [[0, 1],\n [4, 5]]\n [[2, 3],\n [6, 7]]\n [[8, 9],\n [12, 13]]\n [[10, 11],\n [14, 15]]\n \n\\`num_splits\\`: \n\n [2, 2]\n \nand \\`paddings\\`: \n\n [1, 1]\n \nthe expected \\`outputs\\` is: \n\n [[0, 1, 2],\n [4, 5, 6],\n [8, 9, 10]]\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|----------------------------------------------------------------------------------------------------------------------|\n| class | [AssignVariableXlaConcatND.Options](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND.Options) || Optional attributes for [AssignVariableXlaConcatND](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND) |\n\n### Public Methods\n\n|---------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT\\\u003e [AssignVariableXlaConcatND](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND) | [create](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003c?\u003e,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003cT\u003e\u003e,%20java.util.List\u003cjava.lang.Long\u003e,%20org.tensorflow.op.core.AssignVariableXlaConcatND.Options...))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e resource, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e\\\u003e inputs, List\\\u003cLong\\\u003e numConcats, [Options...](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND.Options) options) Factory method to create a class wrapping a new AssignVariableXlaConcatND operation. |\n| static [AssignVariableXlaConcatND.Options](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND.Options) | [paddings](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND#paddings(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e paddings) |\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\nPublic Methods\n--------------\n\n#### public static [AssignVariableXlaConcatND](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e resource, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e\\\u003e inputs, List\\\u003cLong\\\u003e numConcats, [Options...](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND.Options) options)\n\nFactory method to create a class wrapping a new AssignVariableXlaConcatND operation. \n\n##### Parameters\n\n| scope | current scope |\n| resource | Resource variable for concatenated input tensors across all dimensions. } in_arg { name: \"inputs\" description: \\\u003c\\\u003c |\n| numConcats | Number of ways to merge per dimension. |\n| options | carries optional attributes values |\n|------------|---------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of AssignVariableXlaConcatND \n\n#### public static [AssignVariableXlaConcatND.Options](/api_docs/java/org/tensorflow/op/core/AssignVariableXlaConcatND.Options)\n**paddings**\n(List\\\u003cLong\\\u003e paddings)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| paddings | Optional list of right paddings per dimension to strip from the final merged tensor. These paddings must not exceed the dimension size of the merged result prior to stripping paddings. |\n|----------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]