Aprenda o que há de mais recente em aprendizado de máquina, IA generativa e muito mais no WiML Symposium 2023
Registre-se
OutfeedDequeueTupleV2
Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
Recupere vários valores do outfeed de computação. O ordinal do dispositivo é um tensor que permite o outfeed dinâmico.
Esta operação será bloqueada indefinidamente até que os dados estejam disponíveis. A saída `i` corresponde ao elemento da tupla XLA` i`.
Constantes
Corda | OP_NAME | O nome desta operação, conforme conhecido pelo motor principal TensorFlow |
Métodos herdados
Da classe java.lang.Object boleano | equals (arg0 Object) |
aula final <?> | getClass () |
int | hashCode () |
vazio final | notificar () |
vazio final | notifyAll () |
Corda | toString () |
vazio final | wait (longa arg0, int arg1) |
vazio final | wait (arg0 de comprimento) |
vazio final | wait () |
Da interface java.lang.Iterable vazio abstrato | foreach (Consumer <? Super T> arg0) |
abstrato Iterator < Operando < TType >> | iteração () |
abstrato Spliterator < Operando < TType >> | spliterator () |
Constantes
nome_op final String public static
O nome desta operação, conforme conhecido pelo motor principal TensorFlow
Valor constante: "OutfeedDequeueTupleV2"
Métodos Públicos
public static OutfeedDequeueTupleV2 criar ( Scope escopo, Operando < TInt32 > deviceOrdinal, List <Class <? estende TType >> dtypes, List < Forma > formas)
Método de fábrica para criar uma classe que envolve uma nova operação OutfeedDequeueTupleV2.
Parâmetros
alcance | escopo atual |
---|
deviceOrdinal | Um tensor escalar interno, representando o dispositivo TPU a ser usado. Deve ser -1 quando o Op está em execução em um dispositivo TPU e> = 0 quando o Op está em execução no dispositivo de CPU. |
---|
dtypes | Os tipos de elemento de cada elemento em `saídas`. |
---|
formas | As formas de cada tensor em `saídas`. |
---|
Devoluções
- uma nova instância de OutfeedDequeueTupleV2
Lista pública < saída <? >> saídas ()
Uma lista de tensores que serão lidos no outfeed.
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2021-11-29 UTC.
[null,null,["Última atualização 2021-11-29 UTC."],[],[],null,["# OutfeedDequeueTupleV2\n\npublic final class **OutfeedDequeueTupleV2** \nRetrieve multiple values from the computation outfeed. Device ordinal is a\ntensor allowing dynamic outfeed.\n\n\nThis operation will block indefinitely until data is available. Output \\`i\\`\ncorresponds to XLA tuple element \\`i\\`.\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|-----------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/tpu/OutfeedDequeueTupleV2#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [OutfeedDequeueTupleV2](/jvm/api_docs/java/org/tensorflow/op/tpu/OutfeedDequeueTupleV2) | [create](/jvm/api_docs/java/org/tensorflow/op/tpu/OutfeedDequeueTupleV2#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003corg.tensorflow.types.TInt32\u003e, java.util.List\u003cjava.lang.Class\u003c? extends org.tensorflow.types.family.TType\u003e\u003e, java.util.List\u003corg.tensorflow.ndarray.Shape\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt32](/jvm/api_docs/java/org/tensorflow/types/TInt32)\\\u003e deviceOrdinal, List\\\u003cClass\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e\\\u003e dtypes, List\\\u003c[Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape)\\\u003e shapes) Factory method to create a class wrapping a new OutfeedDequeueTupleV2 operation. |\n| Iterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e\\\u003e | [iterator](/jvm/api_docs/java/org/tensorflow/op/tpu/OutfeedDequeueTupleV2#iterator())() |\n| List\\\u003c[Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e\\\u003e | [outputs](/jvm/api_docs/java/org/tensorflow/op/tpu/OutfeedDequeueTupleV2#outputs())() A list of tensors that will be read from the outfeed. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#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.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nFrom interface java.lang.Iterable \n\n|-----------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------|\n| abstract void | forEach(Consumer\\\u003c? super T\\\u003e arg0) |\n| abstract Iterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e\\\u003e | iterator() |\n| abstract Spliterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e\\\u003e | spliterator() |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"OutfeedDequeueTupleV2\"\n\nPublic Methods\n--------------\n\n#### public static [OutfeedDequeueTupleV2](/jvm/api_docs/java/org/tensorflow/op/tpu/OutfeedDequeueTupleV2)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt32](/jvm/api_docs/java/org/tensorflow/types/TInt32)\\\u003e deviceOrdinal, List\\\u003cClass\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e\\\u003e dtypes, List\\\u003c[Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape)\\\u003e shapes)\n\nFactory method to create a class wrapping a new OutfeedDequeueTupleV2 operation. \n\n##### Parameters\n\n| scope | current scope |\n| deviceOrdinal | An int scalar tensor, representing 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| dtypes | The element types of each element in \\`outputs\\`. |\n| shapes | The shapes of each tensor in \\`outputs\\`. |\n|---------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of OutfeedDequeueTupleV2 \n\n#### public Iterator\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e\\\u003e\n**iterator**\n()\n\n\u003cbr /\u003e\n\n#### public List\\\u003c[Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e\\\u003e\n**outputs**\n()\n\nA list of tensors that will be read from the outfeed."]]