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tensorflow::ops::ApplyGradientDescent
#include <training_ops.h>
Update '*var' by subtracting 'alpha' * 'delta' from it.
Summary
Args:
- 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
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
UseLocking
Attrs UseLocking(
bool x
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 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\nArgs:\n\n- scope: A [Scope](/versions/r2.14/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/r2.14/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/r2.14/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/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.14/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/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta, const `[ApplyGradientDescent::Attrs](/versions/r2.14/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/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_apply_gradient_descent_1ad7a25f5c2c7a6e4ca3b2222a1c45777d) | `::`[tensorflow::Output](/versions/r2.14/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/r2.14/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/r2.14/api_docs/cc/struct/tensorflow/ops/apply-gradient-descent/attrs) | Optional attribute setters for [ApplyGradientDescent](/versions/r2.14/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```"]]
