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tensoreflusso:: ops:: Allineare
#include <math_ops.h> Crea una sequenza di numeri.
Riepilogo
Questa operazione crea una sequenza di numeri che inizia da start e si estende con incrementi di delta fino al limit escluso.
Per esempio:
# 'start' is 3
# 'limit' is 18
# 'delta' is 3
tf.range(start, limit, delta) ==> [3, 6, 9, 12, 15]
Argomenti:
- scope: un oggetto Scope
- inizio: 0-D (scalare). Prima voce nella sequenza.
- limite: 0-D (scalare). Limite superiore della sequenza, esclusivo.
- delta: 0-D (scalare). Opzionale. Il valore predefinito è 1. Numero che incrementa
start .
Resi:
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
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Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Range Class Reference\n\ntensorflow::ops::Range\n======================\n\n`#include \u003cmath_ops.h\u003e`\n\nCreates a sequence of numbers.\n\nSummary\n-------\n\nThis operation creates a sequence of numbers that begins at `start` and extends by increments of `delta` up to but not including `limit`.\n\nFor example:\n\n\n```text\n# 'start' is 3\n# 'limit' is 18\n# 'delta' is 3\ntf.range(start, limit, delta) ==\u003e [3, 6, 9, 12, 15]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- start: 0-D (scalar). First entry in the sequence.\n- limit: 0-D (scalar). Upper limit of sequence, exclusive.\n- delta: 0-D (scalar). Optional. Default is 1. Number that increments `start`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 1-D.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Range](#classtensorflow_1_1ops_1_1_range_1ac89f10cd7a02658f009b001297b9e39d)`(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)` start, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` limit, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_range_1a6bb875b501983ede4f2c3eb9cbfe30ee) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_range_1a408459e47f930b28694661838962ba5e) | `::`[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_range_1ac9b5f6727feb82935fd0bbfb3cebcbef)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_range_1a810a3ce642e4e22f25f72fffbfc12d3c)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_range_1ae4e7344666bfe134a81298ac5d7d86cd)`() 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### Range\n\n```gdscript\n Range(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input start,\n ::tensorflow::Input limit,\n ::tensorflow::Input delta\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```"]]
