PaddingFifoQueue.Options
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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
Parameters
| capacity |
The upper bound on the number of elements in this queue.
Negative numbers mean no limit.
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Parameters
| container |
If non-empty, this queue is placed in the given container.
Otherwise, a default container is used.
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Parameters
| shapes |
The shape of each component in a value. The length of this attr must
be either 0 or the same as the length of component_types.
Shapes of fixed rank but variable size are allowed by setting
any shape dimension to -1. In this case, the inputs' shape may vary along
the given dimension, and DequeueMany will pad the given dimension with
zeros up to the maximum shape of all elements in the given batch.
If the length of this attr is 0, different queue elements may have
different ranks and shapes, but only one element may be dequeued at a time.
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Parameters
| sharedName |
If non-empty, this queue will be shared under the given name
across multiple sessions.
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Last updated 2021-11-29 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 2021-11-29 UTC."],[],[],null,["# PaddingFifoQueue.Options\n\npublic static class **PaddingFifoQueue.Options** \nOptional attributes for [PaddingFifoQueue](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue) \n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options) | [capacity](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options#capacity(java.lang.Long))(Long capacity) |\n| [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options) | [container](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options#container(java.lang.String))(String container) |\n| [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options) | [shapes](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options#shapes(java.util.List\u003corg.tensorflow.ndarray.Shape\u003e))(List\\\u003c[Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape)\\\u003e shapes) |\n| [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options) | [sharedName](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options#sharedName(java.lang.String))(String sharedName) |\n\n### Inherited Methods\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 [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options)\n**capacity**\n(Long capacity)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| capacity | The upper bound on the number of elements in this queue. Negative numbers mean no limit. |\n|----------|------------------------------------------------------------------------------------------|\n\n#### public [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options)\n**container**\n(String container)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| container | If non-empty, this queue is placed in the given container. Otherwise, a default container is used. |\n|-----------|----------------------------------------------------------------------------------------------------|\n\n#### public [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options)\n**shapes**\n(List\\\u003c[Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape)\\\u003e shapes)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| shapes | The shape of each component in a value. The length of this attr must be either 0 or the same as the length of component_types. Shapes of fixed rank but variable size are allowed by setting any shape dimension to -1. In this case, the inputs' shape may vary along the given dimension, and DequeueMany will pad the given dimension with zeros up to the maximum shape of all elements in the given batch. If the length of this attr is 0, different queue elements may have different ranks and shapes, but only one element may be dequeued at a time. |\n|--------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [PaddingFifoQueue.Options](/jvm/api_docs/java/org/tensorflow/op/io/PaddingFifoQueue.Options)\n**sharedName**\n(String sharedName)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| sharedName | If non-empty, this queue will be shared under the given name across multiple sessions. |\n|------------|----------------------------------------------------------------------------------------|"]]
