Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
ExperimentalDenseToSparseBatchDataset
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Creates a dataset that batches input elements into a SparseTensor.
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
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 ExperimentalDenseToSparseBatchDataset operation.
Parameters
scope |
current scope |
inputDataset |
A handle to an input dataset. Must have a single component. |
batchSize |
A scalar representing the number of elements to accumulate in a
batch. |
rowShape |
A vector representing the dense shape of each row in the produced
SparseTensor. The shape may be partially specified, using `-1` to indicate
that a particular dimension should use the maximum size of all batch elements. |
Returns
- a new instance of ExperimentalDenseToSparseBatchDataset
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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,["# ExperimentalDenseToSparseBatchDataset\n\npublic final class **ExperimentalDenseToSparseBatchDataset** \nCreates a dataset that batches input elements into a SparseTensor. \n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/ExperimentalDenseToSparseBatchDataset#asOutput())() Returns the symbolic handle of a tensor. |\n| static [ExperimentalDenseToSparseBatchDataset](/api_docs/java/org/tensorflow/op/core/ExperimentalDenseToSparseBatchDataset) | [create](/api_docs/java/org/tensorflow/op/core/ExperimentalDenseToSparseBatchDataset#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003c?\u003e,%20org.tensorflow.Operand\u003cjava.lang.Long\u003e,%20org.tensorflow.Operand\u003cjava.lang.Long\u003e,%20java.util.List\u003cjava.lang.Class\u003c?\u003e\u003e,%20java.util.List\u003corg.tensorflow.Shape\u003e))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e inputDataset, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e batchSize, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e rowShape, List\\\u003cClass\\\u003c?\\\u003e\\\u003e outputTypes, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e outputShapes) Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e | [handle](/api_docs/java/org/tensorflow/op/core/ExperimentalDenseToSparseBatchDataset#handle())() |\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 [ExperimentalDenseToSparseBatchDataset](/api_docs/java/org/tensorflow/op/core/ExperimentalDenseToSparseBatchDataset)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e inputDataset, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e batchSize, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e rowShape, List\\\u003cClass\\\u003c?\\\u003e\\\u003e outputTypes, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e outputShapes)\n\nFactory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputDataset | A handle to an input dataset. Must have a single component. |\n| batchSize | A scalar representing the number of elements to accumulate in a batch. |\n| rowShape | A vector representing the dense shape of each row in the produced SparseTensor. The shape may be partially specified, using \\`-1\\` to indicate that a particular dimension should use the maximum size of all batch elements. |\n|--------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of ExperimentalDenseToSparseBatchDataset \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e\n**handle**\n()\n\n\u003cbr /\u003e"]]