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tensoreflusso:: ops:: PreventGradient
#include <array_ops.h>
Un'operazione di identità che attiva un errore se viene richiesto un gradiente.
Riepilogo
Quando eseguita in un grafico, questa operazione restituisce il suo tensore di input così com'è.
Quando si creano operazioni per calcolare i gradienti, il sistema dei gradienti TensorFlow restituirà un errore quando si tenta di cercare il gradiente di questa operazione, perché nessun gradiente deve mai essere registrato per questa funzione. Questa operazione esiste per impedire che bug sottili restituiscano silenziosamente gradienti non implementati in alcuni casi particolari.
Argomenti:
- scope: un oggetto Scope
- input: qualsiasi tensore.
Attributi facoltativi (vedi Attrs
):
- messaggio: Verrà stampato nell'errore quando qualcuno tenta di differenziare questa operazione.
Resi:
-
Output
: lo stesso tensore di ingresso.
Funzioni pubbliche statiche |
---|
Message (StringPiece x) | |
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
Messaggio
Attrs Message(
StringPiece x
)
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,["# tensorflow::ops::PreventGradient Class Reference\n\ntensorflow::ops::PreventGradient\n================================\n\n`#include \u003carray_ops.h\u003e`\n\nAn identity op that triggers an error if a gradient is requested.\n\nSummary\n-------\n\nWhen executed in a graph, this op outputs its input tensor as-is.\n\nWhen building ops to compute gradients, the TensorFlow gradient system will return an error when trying to lookup the gradient of this op, because no gradient must ever be registered for this function. This op exists to prevent subtle bugs from silently returning unimplemented gradients in some corner cases.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: any tensor.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/prevent-gradient/attrs#structtensorflow_1_1ops_1_1_prevent_gradient_1_1_attrs)):\n\n- message: Will be printed in the error when anyone tries to differentiate this operation.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): the same input tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [PreventGradient](#classtensorflow_1_1ops_1_1_prevent_gradient_1a0b9966e0dc996fe02edcdfc60584d033)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input)` ||\n| [PreventGradient](#classtensorflow_1_1ops_1_1_prevent_gradient_1ae19edcd4e91e9dc4bc39684dfd8cfa74)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, const `[PreventGradient::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/prevent-gradient/attrs#structtensorflow_1_1ops_1_1_prevent_gradient_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_prevent_gradient_1a9b6a878872406f077395172368112563) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_prevent_gradient_1a4c8f001d1b1f87090e63ed718977d582) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_prevent_gradient_1a039d4498a7fd50b84e4246f6adab399e)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_prevent_gradient_1a20ebe0054ff4d6f2d7bb35242547bb7b)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_prevent_gradient_1a2e068c7e108d2325da28edbfd997cd02)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [Message](#classtensorflow_1_1ops_1_1_prevent_gradient_1a5e4b110d0c0f8f247fd80301b88df40d)`(StringPiece x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/prevent-gradient/attrs#structtensorflow_1_1ops_1_1_prevent_gradient_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::PreventGradient::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/prevent-gradient/attrs) | Optional attribute setters for [PreventGradient](/versions/r2.0/api_docs/cc/class/tensorflow/ops/prevent-gradient#classtensorflow_1_1ops_1_1_prevent_gradient). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### PreventGradient\n\n```gdscript\n PreventGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input\n)\n``` \n\n### PreventGradient\n\n```gdscript\n PreventGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const PreventGradient::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### Message\n\n```text\nAttrs Message(\n StringPiece x\n)\n```"]]