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tensoreflusso:: ops:: StringStrip
#include <string_ops.h>
Rimuovi gli spazi bianchi iniziali e finali dal Tensor .
Riepilogo
Argomenti:
- scope: un oggetto Scope
- input: un
Tensor
di stringa di qualsiasi forma.
Resi:
-
Output
: un Tensor
di stringa con la stessa forma dell'input.
Esempi:
tf.strings.strip(["\nTensorFlow", " La libreria Python "]).numpy() array([b'TensorFlow', b'La libreria Python'], dtype=oggetto)
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::StringStrip Class Reference\n\ntensorflow::ops::StringStrip\n============================\n\n`#include \u003cstring_ops.h\u003e`\n\nStrip leading and trailing whitespaces from the [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: A string [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of any shape.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A string [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of the same shape as the input.\n\n\u003cbr /\u003e\n\nExamples:\n\ntf.strings.strip(\\[\"\\\\nTensorFlow\", \" The python library \"\\]).numpy() array(\\[b'TensorFlow', b'The python library'\\], dtype=object)\n\n| ### Constructors and Destructors ||\n|---|---|\n| [StringStrip](#classtensorflow_1_1ops_1_1_string_strip_1a0d346f7d1a699725f37ddb58375eb37a)`(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)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_string_strip_1a6969e477b11ca39f71a21ae5f006cc7e) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_string_strip_1a28427413e62484b63aeee55a509f19b2) | `::`[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_string_strip_1a2fd6ef98ae9fa8b948636eab9423c419)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_string_strip_1a60f09cee4031c28f02d5683d231b6c99)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_string_strip_1a65ed73f97ac9b81049cada72dbb19118)`() 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### StringStrip\n\n```gdscript\n StringStrip(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input\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```"]]