Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TensorArrayGradWithShape
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Creates a TensorArray for storing multiple gradients of values in the given handle.
Similar to TensorArrayGradV3. However it creates an accumulator with an
expanded shape compared to the input TensorArray whose gradient is being
computed. This enables multiple gradients for the same TensorArray to be
calculated using the same accumulator.
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()
|
int
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hashCode()
|
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 TensorArrayGradWithShape operation.
Parameters
scope |
current scope |
handle |
The handle to the forward TensorArray. |
flowIn |
A float scalar that enforces proper chaining of operations. |
shapeToPrepend |
An int32 vector representing a shape. Elements in the gradient accumulator will
have shape which is this shape_to_prepend value concatenated with shape of the
elements in the TensorArray corresponding to the input handle. |
source |
The gradient source string, used to decide which gradient TensorArray
to return. |
Returns
- a new instance of TensorArrayGradWithShape
public
Output<Float>
flowOut
()
public
Output<?>
gradHandle
()
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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,["# TensorArrayGradWithShape\n\npublic final class **TensorArrayGradWithShape** \nCreates a TensorArray for storing multiple gradients of values in the given handle.\n\n\nSimilar to TensorArrayGradV3. However it creates an accumulator with an\nexpanded shape compared to the input TensorArray whose gradient is being\ncomputed. This enables multiple gradients for the same TensorArray to be\ncalculated using the same accumulator.\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|---------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [TensorArrayGradWithShape](/api_docs/java/org/tensorflow/op/core/TensorArrayGradWithShape) | [create](/api_docs/java/org/tensorflow/op/core/TensorArrayGradWithShape#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003c?\u003e,%20org.tensorflow.Operand\u003cjava.lang.Float\u003e,%20org.tensorflow.Operand\u003cjava.lang.Integer\u003e,%20java.lang.String))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e handle, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e flowIn, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cInteger\\\u003e shapeToPrepend, String source) Factory method to create a class wrapping a new TensorArrayGradWithShape operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cFloat\\\u003e | [flowOut](/api_docs/java/org/tensorflow/op/core/TensorArrayGradWithShape#flowOut())() |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e | [gradHandle](/api_docs/java/org/tensorflow/op/core/TensorArrayGradWithShape#gradHandle())() |\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 [TensorArrayGradWithShape](/api_docs/java/org/tensorflow/op/core/TensorArrayGradWithShape)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e handle, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e flowIn, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cInteger\\\u003e shapeToPrepend, String source)\n\nFactory method to create a class wrapping a new TensorArrayGradWithShape operation. \n\n##### Parameters\n\n| scope | current scope |\n| handle | The handle to the forward TensorArray. |\n| flowIn | A float scalar that enforces proper chaining of operations. |\n| shapeToPrepend | An int32 vector representing a shape. Elements in the gradient accumulator will have shape which is this shape_to_prepend value concatenated with shape of the elements in the TensorArray corresponding to the input handle. |\n| source | The gradient source string, used to decide which gradient TensorArray to return. |\n|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of TensorArrayGradWithShape \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cFloat\\\u003e\n**flowOut**\n()\n\n\u003cbr /\u003e\n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e\n**gradHandle**\n()\n\n\u003cbr /\u003e"]]