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tensorflow::ops::CountUpTo
#include <state_ops.h>
Increments 'ref' until it reaches 'limit'.
Summary
Arguments:
- scope: A Scope object
- ref: Should be from a scalar
Variable node.
- limit: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
Returns:
Output: A copy of the input before increment. If nothing else modifies the input, the values produced will all be distinct.
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
CountUpTo
CountUpTo(
const ::tensorflow::Scope & scope,
::tensorflow::Input ref,
int64 limit
)
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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Last updated 2020-04-20 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::CountUpTo Class Reference\n\ntensorflow::ops::CountUpTo\n==========================\n\n`#include \u003cstate_ops.h\u003e`\n\nIncrements 'ref' until it reaches 'limit'.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- ref: Should be from a scalar [Variable](/versions/r1.15/api_docs/cc/class/tensorflow/ops/variable#classtensorflow_1_1ops_1_1_variable) node.\n- limit: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A copy of the input before increment. If nothing else modifies the input, the values produced will all be distinct.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [CountUpTo](#classtensorflow_1_1ops_1_1_count_up_to_1a8e312ef44f15d31e4aeab02aa13bab92)`(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)` ref, int64 limit)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_count_up_to_1a6375a212ad79358549763db02e6d67cc) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_count_up_to_1a197a681069a4b7425466c72ebf9aa9e6) | `::`[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_count_up_to_1ab2ba97fcf76a8506b6bde0300dda5a8e)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_count_up_to_1a9de83029d3a9d01cfe07058ede299108)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_count_up_to_1a0db42bbc82750886632775f3c46445e8)`() 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### CountUpTo\n\n```gdscript\n CountUpTo(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n int64 limit\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```"]]
