Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
ResourceSparseApplyAdagradV2
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Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
That is for rows we have grad for, we update var and accum as follows:
accum += grad * grad
var -= lr * grad * (1 / sqrt(accum))
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 ResourceSparseApplyAdagradV2 operation.
Parameters
scope |
current scope |
var |
Should be from a Variable(). |
accum |
Should be from a Variable(). |
lr |
Learning rate. Must be a scalar. |
epsilon |
Constant factor. Must be a scalar. |
grad |
The gradient. |
indices |
A vector of indices into the first dimension of var and accum. |
options |
carries optional attributes values |
Returns
- a new instance of ResourceSparseApplyAdagradV2
Parameters
useLocking |
If `True`, updating of the var and accum tensors will be protected
by a lock; otherwise the behavior is undefined, but may exhibit less
contention.
|
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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,["# ResourceSparseApplyAdagradV2\n\npublic final class **ResourceSparseApplyAdagradV2** \nUpdate relevant entries in '\\*var' and '\\*accum' according to the adagrad scheme.\n\n\nThat is for rows we have grad for, we update var and accum as follows:\naccum += grad \\* grad\nvar -= lr \\* grad \\* (1 / sqrt(accum))\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|----------------------------------------------------------------------------------------------------------------------------|\n| class | [ResourceSparseApplyAdagradV2.Options](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options) || Optional attributes for [ResourceSparseApplyAdagradV2](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2) |\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT, U extends Number\\\u003e [ResourceSparseApplyAdagradV2](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2) | [create](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003c?\u003e,%20org.tensorflow.Operand\u003c?\u003e,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cU\u003e,%20org.tensorflow.op.core.ResourceSparseApplyAdagradV2.Options...))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e var, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e accum, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e lr, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e epsilon, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e grad, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cU\\\u003e indices, [Options...](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options) options) Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation. |\n| static [ResourceSparseApplyAdagradV2.Options](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options) | [updateSlots](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2#updateSlots(java.lang.Boolean))(Boolean updateSlots) |\n| static [ResourceSparseApplyAdagradV2.Options](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options) | [useLocking](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2#useLocking(java.lang.Boolean))(Boolean useLocking) |\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 [ResourceSparseApplyAdagradV2](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e var, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e accum, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e lr, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e epsilon, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e grad, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cU\\\u003e indices, [Options...](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options) options)\n\nFactory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation. \n\n##### Parameters\n\n| scope | current scope |\n| var | Should be from a Variable(). |\n| accum | Should be from a Variable(). |\n| lr | Learning rate. Must be a scalar. |\n| epsilon | Constant factor. Must be a scalar. |\n| grad | The gradient. |\n| indices | A vector of indices into the first dimension of var and accum. |\n| options | carries optional attributes values |\n|---------|----------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of ResourceSparseApplyAdagradV2 \n\n#### public static [ResourceSparseApplyAdagradV2.Options](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options)\n**updateSlots**\n(Boolean updateSlots)\n\n\u003cbr /\u003e\n\n#### public static [ResourceSparseApplyAdagradV2.Options](/api_docs/java/org/tensorflow/op/core/ResourceSparseApplyAdagradV2.Options)\n**useLocking**\n(Boolean useLocking)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| useLocking | If \\`True\\`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |\n|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|"]]