tensorflow::ops::ApplyGradientDescent
bookmark_borderbookmark
Stay organized with collections
Save and categorize content based on your preferences.
#include <training_ops.h>
Update '*var' by subtracting 'alpha' * 'delta' from it.
Summary
Arguments:
- scope: A Scope object
- var: Should be from a Variable().
- alpha: Scaling factor. Must be a scalar.
- delta: The change.
Optional attributes (see Attrs
):
- use_locking: If
True
, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
Public attributes
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-04-20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::ApplyGradientDescent Class Reference\n\ntensorflow::ops::ApplyGradientDescent\n=====================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' by subtracting 'alpha' \\* 'delta' from it.\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- var: Should be from a Variable().\n- alpha: Scaling factor. Must be a scalar.\n- delta: The change.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_apply_gradient_descent_1_1_attrs)):\n\n- use_locking: If `True`, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same as \"var\".\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ApplyGradientDescent](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1a02b0cff378acff6764175510a30da2de)`(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)` var, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta)` ||\n| [ApplyGradientDescent](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1a0bee68dd467ecfbc96a8db3f401c8fb7)`(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)` var, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta, const `[ApplyGradientDescent::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_apply_gradient_descent_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1ae5abbeb9d43a7b58a2cf4d2c444f53fe) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1ad7a25f5c2c7a6e4ca3b2222a1c45777d) | `::`[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_apply_gradient_descent_1a88b00c9b817da89da01dfaabd1750195)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1a972466fa3ea4e78b0abae2469a835a5e)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1a393c4dc9ad66b888ccf8beb68f594751)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1a3751c29f150babe6104c53aec88f5419)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_apply_gradient_descent_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ApplyGradientDescent::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-gradient-descent/attrs) | Optional attribute setters for [ApplyGradientDescent](/versions/r1.15/api_docs/cc/class/tensorflow/ops/apply-gradient-descent#classtensorflow_1_1ops_1_1_apply_gradient_descent). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### out\n\n```text\n::tensorflow::Output out\n``` \n\nPublic functions\n----------------\n\n### ApplyGradientDescent\n\n```gdscript\n ApplyGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input delta\n)\n``` \n\n### ApplyGradientDescent\n\n```gdscript\n ApplyGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input delta,\n const ApplyGradientDescent::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]