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tensor akışı:: işlem:: ResourceApplyGradientDescent
#include <training_ops.h>
'*var'ı bundan 'alpha' * 'delta'yı çıkararak güncelleyin.
Özet
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- var: Bir Variable()'dan olmalıdır.
- alfa: Ölçekleme faktörü. Bir skaler olmalı.
- delta: Değişiklik.
İsteğe bağlı özellikler (bkz. Attrs
):
- use_locking:
True
ise çıkarma işlemi bir kilitle korunacaktır; aksi takdirde davranış tanımsızdır ancak daha az çekişme sergileyebilir.
İade:
Genel özellikler
Kamu işlevleri
operatör::tensorflow::İşlem
operator::tensorflow::Operation() const
Genel statik işlevler
KullanımKilitleme
Attrs UseLocking(
bool x
)
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Son güncelleme tarihi: 2025-07-27 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-27 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/r2.3/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/r2.3/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/r2.3/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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.3/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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta, const `[ResourceApplyGradientDescent::Attrs](/versions/r2.3/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/r2.3/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/r2.3/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/r2.3/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs) | Optional attribute setters for [ResourceApplyGradientDescent](/versions/r2.3/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```"]]