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tensoreflusso:: ops:: ScalarSummary
#include <logging_ops.h>
Restituisce un buffer del protocollo Summary
con valori scalari.
Riepilogo
I tags
e values
di input devono avere la stessa forma. Il riepilogo generato ha un valore di riepilogo per ciascuna coppia tag-valore in tags
e values
.
Argomenti:
- scope: un oggetto Scope
- tags: tag per il riepilogo.
- valori: stessa forma di `tags. Valori per il riepilogo.
Resi:
-
Output
: scalare. Buffer del protocollo Summary
serializzato.
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
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::ScalarSummary Class Reference\n\ntensorflow::ops::ScalarSummary\n==============================\n\n`#include \u003clogging_ops.h\u003e`\n\nOutputs a `Summary` protocol buffer with scalar values.\n\nSummary\n-------\n\nThe input `tags` and `values` must have the same shape. The generated summary has a summary value for each tag-value pair in `tags` and `values`.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- tags: Tags for the summary.\n- values: Same shape as \\`tags. Values for the summary.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Scalar. Serialized `Summary` protocol buffer.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ScalarSummary](#classtensorflow_1_1ops_1_1_scalar_summary_1a37ead9a3e40afb5ca6c768bd9964fc60)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` tags, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` values)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_scalar_summary_1a0846561767f6abb3de936cc26f92eb42) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [summary](#classtensorflow_1_1ops_1_1_scalar_summary_1a8d164e18d2a22962eacd48e8f77ab864) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_scalar_summary_1a8541b3eb0514c816421a7f1ac6343083)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_scalar_summary_1aedb9308de46ad38d9bb8d680ad4e9419)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_scalar_summary_1a4a426ca21e1f1e4df05580aba8f22238)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### summary\n\n```text\n::tensorflow::Output summary\n``` \n\nPublic functions\n----------------\n\n### ScalarSummary\n\n```gdscript\n ScalarSummary(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input tags,\n ::tensorflow::Input values\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```"]]