tensorflow:: אופס:: ResourceApplyAdagradDA
#include <training_ops.h>
עדכן את '*var' בהתאם לתוכנית adgrad הפרוקסימלית.
תַקצִיר
טיעונים:
- scope: אובייקט Scope
- var: צריך להיות מ-Variable().
- gradient_accumulator: צריך להיות מ-Variable().
- gradient_squared_accumulator: צריך להיות מ-Variable().
- grad: השיפוע.
- lr: גורם קנה מידה. חייב להיות סקלר.
- l1: הסדרת L1. חייב להיות סקלר.
- l2: הסדרת L2. חייב להיות סקלר.
- global_step: מספר שלב האימון. חייב להיות סקלר.
מאפיינים אופציונליים (ראה Attrs
):
- use_locking: אם נכון, עדכון של הטנזורים var ו-acum יהיה מוגן על ידי מנעול; אחרת ההתנהגות אינה מוגדרת, אך עלולה להפגין פחות מחלוקת.
החזרות:
-
Operation
שנוצר
בנאים והורסים | |
---|---|
ResourceApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step) | |
ResourceApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step, const ResourceApplyAdagradDA::Attrs & attrs) |
תכונות ציבוריות | |
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operation |
תפקידים ציבוריים | |
---|---|
operator::tensorflow::Operation () const |
פונקציות סטטיות ציבוריות | |
---|---|
UseLocking (bool x) |
מבנים | |
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tensorflow:: ops:: ResourceApplyAdagradDA:: Attrs | קובעי תכונות אופציונליים עבור ResourceApplyAdagradDA . |
תכונות ציבוריות
מִבצָע
Operation operation
תפקידים ציבוריים
ResourceApplyAdagradDA
ResourceApplyAdagradDA( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input gradient_accumulator, ::tensorflow::Input gradient_squared_accumulator, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input global_step )
ResourceApplyAdagradDA
ResourceApplyAdagradDA( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input gradient_accumulator, ::tensorflow::Input gradient_squared_accumulator, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input global_step, const ResourceApplyAdagradDA::Attrs & attrs )
אופרטור::tensorflow::פעולה
operator::tensorflow::Operation() const
פונקציות סטטיות ציבוריות
השתמש בנעילה
Attrs UseLocking( bool x )
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עדכון אחרון: 2025-07-26 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-26 (שעון UTC)."],[],[],null,["# tensorflow::ops::ResourceApplyAdagradDA Class Reference\n\ntensorflow::ops::ResourceApplyAdagradDA\n=======================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' according to the proximal adagrad scheme.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- var: Should be from a Variable().\n- gradient_accumulator: Should be from a Variable().\n- gradient_squared_accumulator: Should be from a Variable().\n- grad: The gradient.\n- lr: Scaling factor. Must be a scalar.\n- l1: L1 regularization. Must be a scalar.\n- l2: L2 regularization. Must be a scalar.\n- global_step: Training step number. Must be a scalar.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1_1_attrs)):\n\n- use_locking: If True, updating of the var and accum tensors 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/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyAdagradDA](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1ab3cf31032694d9f3fd0a3958f78ec0f5)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_accumulator, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step)` ||\n| [ResourceApplyAdagradDA](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1a474417dc322ba655ca92cc78dc5e04a9)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_accumulator, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step, const `[ResourceApplyAdagradDA::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1ae2393d65d399da864154e800ea95651b) | [Operation](/versions/r2.1/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_adagrad_d_a_1a20c9b9c6ea4fe8279b0db67b71e767f7)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1ab3c666fb3af46dfde253bbd003df25b9)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyAdagradDA::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad-d-a/attrs) | Optional attribute setters for [ResourceApplyAdagradDA](/versions/r2.1/api_docs/cc/class/tensorflow/ops/resource-apply-adagrad-d-a#classtensorflow_1_1ops_1_1_resource_apply_adagrad_d_a). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyAdagradDA\n\n```gdscript\n ResourceApplyAdagradDA(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input gradient_accumulator,\n ::tensorflow::Input gradient_squared_accumulator,\n ::tensorflow::Input grad,\n ::tensorflow::Input lr,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input global_step\n)\n``` \n\n### ResourceApplyAdagradDA\n\n```gdscript\n ResourceApplyAdagradDA(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input gradient_accumulator,\n ::tensorflow::Input gradient_squared_accumulator,\n ::tensorflow::Input grad,\n ::tensorflow::Input lr,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input global_step,\n const ResourceApplyAdagradDA::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```"]]