Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
InfeedEnqueueTuple
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Feeds multiple Tensor values into the computation as an XLA tuple.
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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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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void
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wait()
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Public Methods
Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
Parameters
| scope |
current scope |
| inputs |
A list of tensors that will be provided using the infeed mechanism. |
| shapes |
The shapes of each tensor in `inputs`. |
| options |
carries optional attributes values |
Returns
- a new instance of InfeedEnqueueTuple
Parameters
| deviceOrdinal |
The TPU device to use. This should be -1 when the Op
is running on a TPU device, and >= 0 when the Op is running on the CPU
device.
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Parameters
| layouts |
A vector holding the requested layout in minor-to-major sequence for
all the tuple shapes, in the order the shapes appear in the "shapes" input.
The layout elements for a sub-shape can be set to -1, in which case the
corresponding layout will be computed by the infeed operation.
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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,["# InfeedEnqueueTuple\n\npublic final class **InfeedEnqueueTuple** \nFeeds multiple Tensor values into the computation as an XLA tuple. \n\n### Nested Classes\n\n|-------|---|---|--------------------------------------------------------------------------------------------------------|\n| class | [InfeedEnqueueTuple.Options](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options) || Optional attributes for [InfeedEnqueueTuple](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple) |\n\n### Public Methods\n\n|-------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [InfeedEnqueueTuple](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple) | [create](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple#create(org.tensorflow.op.Scope,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003c?\u003e\u003e,%20java.util.List\u003corg.tensorflow.Shape\u003e,%20org.tensorflow.op.core.InfeedEnqueueTuple.Options...))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e inputs, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e shapes, [Options...](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options) options) Factory method to create a class wrapping a new InfeedEnqueueTuple operation. |\n| static [InfeedEnqueueTuple.Options](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options) | [deviceOrdinal](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple#deviceOrdinal(java.lang.Long))(Long deviceOrdinal) |\n| static [InfeedEnqueueTuple.Options](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options) | [layouts](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple#layouts(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e layouts) |\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 [InfeedEnqueueTuple](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e inputs, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e shapes, [Options...](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options) options)\n\nFactory method to create a class wrapping a new InfeedEnqueueTuple operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputs | A list of tensors that will be provided using the infeed mechanism. |\n| shapes | The shapes of each tensor in \\`inputs\\`. |\n| options | carries optional attributes values |\n|---------|---------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of InfeedEnqueueTuple \n\n#### public static [InfeedEnqueueTuple.Options](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options)\n**deviceOrdinal**\n(Long deviceOrdinal)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| deviceOrdinal | The TPU device to use. This should be -1 when the Op is running on a TPU device, and \\\u003e= 0 when the Op is running on the CPU device. |\n|---------------|--------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public static [InfeedEnqueueTuple.Options](/api_docs/java/org/tensorflow/op/core/InfeedEnqueueTuple.Options)\n**layouts**\n(List\\\u003cLong\\\u003e layouts)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| layouts | A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the \"shapes\" input. The layout elements for a sub-shape can be set to -1, in which case the corresponding layout will be computed by the infeed operation. |\n|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]
