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tensoreflusso:: ops:: Garantire la forma
#include <array_ops.h>
Assicura che la forma del tensore corrisponda alla forma prevista.
Riepilogo
Genera un errore se la forma del tensore di input non corrisponde alla forma specificata. Altrimenti restituisce il tensore di input.
Argomenti:
- scope: un oggetto Scope
- input: un tensore, la cui forma deve essere validata.
- forma: la forma prevista (possibilmente parzialmente specificata) del tensore di input.
Resi:
-
Output
: un tensore con la stessa forma e contenuto del tensore o valore di input.
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::EnsureShape Class Reference\n\ntensorflow::ops::EnsureShape\n============================\n\n`#include \u003carray_ops.h\u003e`\n\nEnsures that the tensor's shape matches the expected shape.\n\nSummary\n-------\n\nRaises an error if the input tensor's shape does not match the specified shape. Returns the input tensor otherwise.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: A tensor, whose shape is to be validated.\n- shape: The expected (possibly partially specified) shape of the input tensor.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A tensor with the same shape and contents as the input tensor or value.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [EnsureShape](#classtensorflow_1_1ops_1_1_ensure_shape_1a5eccae9b4752e5ce978003d1413e5c06)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, PartialTensorShape shape)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_ensure_shape_1abc933208d9ec4b02b93fd9fbf992457b) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_ensure_shape_1a3de25be53998f6b3c1fe4f88c0b7f90a) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_ensure_shape_1affd7b08d440e2fcd688949c62b747b6d)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_ensure_shape_1afd5278e7b8083f310fa151d3e6ca6569)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_ensure_shape_1a9ced601bdda49a6b52e0695a81bdee19)`() const ` | ` ` ` ` |\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### EnsureShape\n\n```gdscript\n EnsureShape(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n PartialTensorShape shape\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```"]]