Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TPUEmbeddingActivations
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An op enabling differentiation of TPU Embeddings.
This op simply returns its first input, which is assumed to have been sliced
from the Tensors returned by TPUEmbeddingDequeueActivations. The presence of
this op, and its first argument being a trainable Variable, enables automatic
differentiation of graphs containing embeddings via the TPU Embedding Python
libraries.
Inherited Methods
From class
java.lang.Object
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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
public
Output<Float>
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.
public
static
TPUEmbeddingActivations
create
(Scope scope, Operand<Float> embeddingVariable, Operand<Float> slicedActivations, Long tableId, Long lookupId)
Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
Parameters
| scope |
current scope |
| embeddingVariable |
A trainable variable, enabling optimizers to find this op. |
| slicedActivations |
The embedding activations Tensor to return. |
| tableId |
The id of the table in the embedding layer configuration from which
these activations were computed. |
| lookupId |
Identifier of the set of embedding indices which produced these
activations. |
Returns
- a new instance of TPUEmbeddingActivations
public
Output<Float>
output
()
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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,["# TPUEmbeddingActivations\n\npublic final class **TPUEmbeddingActivations** \nAn op enabling differentiation of TPU Embeddings.\n\n\nThis op simply returns its first input, which is assumed to have been sliced\nfrom the Tensors returned by TPUEmbeddingDequeueActivations. The presence of\nthis op, and its first argument being a trainable Variable, enables automatic\ndifferentiation of graphs containing embeddings via the TPU Embedding Python\nlibraries.\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|-------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cFloat\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/TPUEmbeddingActivations#asOutput())() Returns the symbolic handle of a tensor. |\n| static [TPUEmbeddingActivations](/api_docs/java/org/tensorflow/op/core/TPUEmbeddingActivations) | [create](/api_docs/java/org/tensorflow/op/core/TPUEmbeddingActivations#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cjava.lang.Float\u003e,%20org.tensorflow.Operand\u003cjava.lang.Float\u003e,%20java.lang.Long,%20java.lang.Long))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e embeddingVariable, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e slicedActivations, Long tableId, Long lookupId) Factory method to create a class wrapping a new TPUEmbeddingActivations operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cFloat\\\u003e | [output](/api_docs/java/org/tensorflow/op/core/TPUEmbeddingActivations#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)\\\u003cFloat\\\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)\\\u003cFloat\\\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 [TPUEmbeddingActivations](/api_docs/java/org/tensorflow/op/core/TPUEmbeddingActivations)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e embeddingVariable, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e slicedActivations, Long tableId, Long lookupId)\n\nFactory method to create a class wrapping a new TPUEmbeddingActivations operation. \n\n##### Parameters\n\n| scope | current scope |\n| embeddingVariable | A trainable variable, enabling optimizers to find this op. |\n| slicedActivations | The embedding activations Tensor to return. |\n| tableId | The id of the table in the embedding layer configuration from which these activations were computed. |\n| lookupId | Identifier of the set of embedding indices which produced these activations. |\n|-------------------|------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of TPUEmbeddingActivations \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cFloat\\\u003e\n**output**\n()\n\n\u003cbr /\u003e"]]
