Stay organized with collections
Save and categorize content based on your preferences.
tensorflow::ops::ResourceApplyGradientDescent
#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
Public functions
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UseLocking
Attrs UseLocking(
bool x
)
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.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::ResourceApplyGradientDescent Class Reference\n\ntensorflow::ops::ResourceApplyGradientDescent\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/resource-apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_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- the created [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyGradientDescent](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1ad2c03e2384a20f89b22a617a6bef1266)`(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| [ResourceApplyGradientDescent](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1adaccd5611930bc42bc3813780e45ec68)`(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 `[ResourceApplyGradientDescent::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1a0ed7094e3b62584bc00bd0a2de76737c) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------------------------|---------|\n| [operator::tensorflow::Operation](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1a063bfdd6045330eed2802d02a8a00c8e)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1a48f17ade21c3f87c38fbfa29434ba55c)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyGradientDescent::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs) | Optional attribute setters for [ResourceApplyGradientDescent](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-apply-gradient-descent#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyGradientDescent\n\n```gdscript\n ResourceApplyGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input delta\n)\n``` \n\n### ResourceApplyGradientDescent\n\n```gdscript\n ResourceApplyGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input delta,\n const ResourceApplyGradientDescent::Attrs & attrs\n)\n``` \n\n### operator::tensorflow::Operation\n\n```gdscript\n operator::tensorflow::Operation() const \n``` \n\nPublic static functions\n-----------------------\n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]
