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tensoreflusso:: ops:: Unisci riepilogo
#include <logging_ops.h>
Unisce i riepiloghi.
Riepilogo
Questa operazione crea un buffer del protocollo "Summary" che contiene l'unione di tutti i valori nei riepiloghi di input.
Quando l'operazione viene eseguita, segnala un errore InvalidArgument
se più valori nei riepiloghi da unire utilizzano lo stesso tag.
Argomenti:
- scope: un oggetto Scope
- input: possono avere qualsiasi forma. Ciascuno deve contenere buffer del protocollo
Summary
serializzati.
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::MergeSummary Class Reference\n\ntensorflow::ops::MergeSummary\n=============================\n\n`#include \u003clogging_ops.h\u003e`\n\nMerges summaries.\n\nSummary\n-------\n\nThis op creates a [\\`Summary\\`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto) protocol buffer that contains the union of all the values in the input summaries.\n\nWhen the Op is run, it reports an `InvalidArgument` error if multiple values in the summaries to merge use the same tag.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- inputs: Can be of any shape. Each must contain serialized `Summary` protocol buffers.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/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| [MergeSummary](#classtensorflow_1_1ops_1_1_merge_summary_1a22a47d3e7528edb0519809da7b7a4f4c)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::InputList](/versions/r2.0/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list)` inputs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_merge_summary_1a1f99177e9a4c71b99dd573e69d99526a) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [summary](#classtensorflow_1_1ops_1_1_merge_summary_1a06d974af5800758695c7f6cb4f173c36) | `::`[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_merge_summary_1a22c07022fc4001bd71d2c519d992ba5a)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_merge_summary_1a374205ab608f7a90c1d376ca539b3faa)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_merge_summary_1a2f1b90a972253c8960d1540dc4245cb4)`() 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### MergeSummary\n\n```gdscript\n MergeSummary(\n const ::tensorflow::Scope & scope,\n ::tensorflow::InputList inputs\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```"]]