tensorflow:: אופס:: ResourceSparseApplyAdadelta
#include <training_ops.h>
var: צריך להיות מ-Variable().
תַקצִיר
טיעונים:
- scope: אובייקט Scope
- acum: צריך להיות מ-Variable().
- accum_update: : אמור להיות מ-Variable().
- lr: קצב למידה. חייב להיות סקלר.
- rho: גורם דעיכה. חייב להיות סקלר.
- epsilon: גורם קבוע. חייב להיות סקלר.
- grad: השיפוע.
- מדדים: וקטור של מדדים למימד הראשון של var ו-acum.
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 | |
---|---|
ResourceSparseApplyAdadelta (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input accum_update, :: tensorflow::Input lr, :: tensorflow::Input rho, :: tensorflow::Input epsilon, :: tensorflow::Input grad, :: tensorflow::Input indices) | |
ResourceSparseApplyAdadelta (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input accum_update, :: tensorflow::Input lr, :: tensorflow::Input rho, :: tensorflow::Input epsilon, :: tensorflow::Input grad, :: tensorflow::Input indices, const ResourceSparseApplyAdadelta::Attrs & attrs) |
תכונות ציבוריות | |
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operation |
תפקידים ציבוריים | |
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operator::tensorflow::Operation () const |
פונקציות סטטיות ציבוריות | |
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UseLocking (bool x) |
מבנים | |
---|---|
tensorflow:: ops:: ResourceSparseApplyAdadelta:: Attrs | קובעי תכונות אופציונליים עבור ResourceSparseApplyAdadelta . |
תכונות ציבוריות
מִבצָע
Operation operation
תפקידים ציבוריים
ResourceSparseApplyAdadelta
ResourceSparseApplyAdadelta( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad, ::tensorflow::Input indices )
ResourceSparseApplyAdadelta
ResourceSparseApplyAdadelta( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyAdadelta::Attrs & attrs )
אופרטור::tensorflow::פעולה
operator::tensorflow::Operation() const
פונקציות סטטיות ציבוריות
השתמש בנעילה
Attrs UseLocking( bool x )
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עדכון אחרון: 2025-07-27 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-27 (שעון UTC)."],[],[],null,["# tensorflow::ops::ResourceSparseApplyAdadelta Class Reference\n\ntensorflow::ops::ResourceSparseApplyAdadelta\n============================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nvar: Should be from a Variable().\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- accum: Should be from a Variable().\n- accum_update: : Should be from a Variable().\n- lr: Learning rate. Must be a scalar.\n- rho: Decay factor. Must be a scalar.\n- epsilon: Constant factor. Must be a scalar.\n- grad: The gradient.\n- indices: A vector of indices into the first dimension of var and accum.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_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/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceSparseApplyAdadelta](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1ac0369a8a48b24e742fa836599eb174af)`(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)` accum, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum_update, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` rho, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices)` ||\n| [ResourceSparseApplyAdadelta](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a9a3ddb8290d6c30f1e25e26f7ba03a0e)`(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)` accum, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum_update, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` rho, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, const `[ResourceSparseApplyAdadelta::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a4e843242aeead4a27df958f70025e05d) | [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_sparse_apply_adadelta_1a334a1a1add4a3894ab372852c319af6d)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a403257d2f3b607fd2daebf72a0415d8f)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceSparseApplyAdadelta::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs) | Optional attribute setters for [ResourceSparseApplyAdadelta](/versions/r2.3/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyAdadelta\n\n```gdscript\n ResourceSparseApplyAdadelta(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input accum_update,\n ::tensorflow::Input lr,\n ::tensorflow::Input rho,\n ::tensorflow::Input epsilon,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices\n)\n``` \n\n### ResourceSparseApplyAdadelta\n\n```gdscript\n ResourceSparseApplyAdadelta(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input accum_update,\n ::tensorflow::Input lr,\n ::tensorflow::Input rho,\n ::tensorflow::Input epsilon,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n const ResourceSparseApplyAdadelta::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```"]]