Dot
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Avvolge l'operatore XLA DotGeneral, documentato in
https://www.tensorflow.org/performance/xla/operazione_semantics#dotgeneral .
Costanti
Corda | OP_NAME | Il nome di questa operazione, come noto al motore principale di TensorFlow |
Metodi pubblici
Uscita <T> | comeuscita () Restituisce l'handle simbolico del tensore. |
statico <T estende TType > Punto <T> | create ( Scope scope, Operando <T> lhs, Operando <T> rhs, String dimensionNumbers, String PrecisionConfig) Metodo factory per creare una classe che racchiude una nuova operazione Dot. |
Uscita <T> | |
Metodi ereditati
Dalla classe java.lang.Object booleano | è uguale a (Oggetto arg0) |
Classe finale<?> | getClass () |
int | codice hash () |
vuoto finale | notificare () |
vuoto finale | notificaTutti () |
Corda | accordare () |
vuoto finale | attendere (lungo arg0, int arg1) |
vuoto finale | aspetta (lungo arg0) |
vuoto finale | Aspettare () |
Dall'interfaccia org.tensorflow.Operand Output astratto <T> | comeuscita () Restituisce l'handle simbolico del tensore. |
astratto T | |
forma astratta | forma () Restituisce la forma (possibilmente parzialmente conosciuta) del tensore a cui fa riferimento l' Output di questo operando. |
Classe astratta<T> | tipo () Restituisce il tipo tensore di questo operando |
Costanti
Stringa finale statica pubblica OP_NAME
Il nome di questa operazione, come noto al motore principale di TensorFlow
Valore costante: "XlaDot"
Metodi pubblici
Uscita pubblica <T> asOutput ()
Restituisce l'handle simbolico del tensore.
Gli input per le operazioni TensorFlow sono output di un'altra operazione TensorFlow. Questo metodo viene utilizzato per ottenere un handle simbolico che rappresenta il calcolo dell'input.
public static Dot <T> create ( Scope scope, Operand <T> lhs, Operand <T> rhs, String dimensionNumbers, String PrecisionConfig)
Metodo factory per creare una classe che racchiude una nuova operazione Dot.
Parametri
scopo | ambito attuale |
---|
sinistra | il tensore LHS |
---|
ds | il tensore RHS |
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dimensioneNumeri | un protocollo xla::DotDimensionNumbers serializzato. |
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precisioneConfig | un protocollo xla::PrecisionConfig serializzato. |
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Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# Dot\n\npublic final class **Dot** \nWraps the XLA DotGeneral operator, documented at\n\n\nhttps://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral\n.\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|-----------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/xla/Dot#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|---------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/op/xla/Dot#asOutput())() Returns the symbolic handle of the tensor. |\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [Dot](/jvm/api_docs/java/org/tensorflow/op/xla/Dot)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/xla/Dot#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, java.lang.String, java.lang.String))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e lhs, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e rhs, String dimensionNumbers, String precisionConfig) Factory method to create a class wrapping a new Dot operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [output](/jvm/api_docs/java/org/tensorflow/op/xla/Dot#output())() |\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 [org.tensorflow.Operand](/jvm/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of the tensor. |\n| abstract T | [asTensor](/jvm/api_docs/java/org/tensorflow/Operand#asTensor())() Returns the tensor at this operand. |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/Operand#shape())() Returns the (possibly partially known) shape of the tensor referred to by the [Output](/jvm/api_docs/java/org/tensorflow/Output) of this operand. |\n| abstract Class\\\u003cT\\\u003e | [type](/jvm/api_docs/java/org/tensorflow/Operand#type())() Returns the tensor type of this operand |\n\nFrom interface [org.tensorflow.ndarray.Shaped](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped) \n\n|-------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract int | [rank](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#rank())() |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#shape())() |\n| abstract long | [size](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#size())() Computes and returns the total size of this container, in number of values. |\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: \"XlaDot\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of the 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 [Dot](/jvm/api_docs/java/org/tensorflow/op/xla/Dot)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e lhs, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e rhs, String dimensionNumbers, String precisionConfig)\n\nFactory method to create a class wrapping a new Dot operation. \n\n##### Parameters\n\n| scope | current scope |\n| lhs | the LHS tensor |\n| rhs | the RHS tensor |\n| dimensionNumbers | a serialized xla::DotDimensionNumbers proto. |\n| precisionConfig | a serialized xla::PrecisionConfig proto. |\n|------------------|----------------------------------------------|\n\n##### Returns\n\n- a new instance of Dot \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**output**\n()\n\n\u003cbr /\u003e"]]