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tensorflow::
ops::
Range
#include <math_ops.h>
Creates a sequence of numbers.
Summary
This operation creates a sequence of numbers that begins at
start
and extends by increments of
delta
up to but not including
limit
.
For example:
# 'start' is 3
# 'limit' is 18
# 'delta' is 3
tf.range(start, limit, delta) ==> [3, 6, 9, 12, 15]
Args:
-
scope: A
Scope
object
-
start: 0-D (scalar). First entry in the sequence.
-
limit: 0-D (scalar). Upper limit of sequence, exclusive.
-
delta: 0-D (scalar). Optional. Default is 1. Number that increments
start
.
Returns:
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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Last updated 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::Range Class Reference\n\ntensorflow::\nops::\nRange\n========================\n\n`\n#include \u003cmath_ops.h\u003e\n`\n\n\nCreates a sequence of numbers.\n\nSummary\n-------\n\n\nThis operation creates a sequence of numbers that begins at\n`\nstart\n`\nand extends by increments of\n`\ndelta\n`\nup to but not including\n`\nlimit\n`\n.\n\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\n\nArgs:\n\n- scope: A [Scope](/versions/r2.5/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 `\n start\n ` .\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : 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/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` start, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` limit, :: `[tensorflow::Input](/versions/r2.5/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/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_range_1a408459e47f930b28694661838962ba5e)` ` | ` :: `[tensorflow::Output](/versions/r2.5/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```"]]
