تدفق التوتر:: العمليات:: SparseApplyAdadelta
#include <training_ops.h>
فار: يجب أن يكون من متغير ().
ملخص
الحجج:
- النطاق: كائن النطاق
- تراكم: يجب أن يكون من متغير ().
- accum_update: : يجب أن يكون من متغير ().
- ل: معدل التعلم. يجب أن يكون العددية.
- رو: عامل الاضمحلال. يجب أن يكون العددية.
- إبسيلون: العامل الثابت. يجب أن يكون العددية.
- غراد: التدرج.
- المؤشرات: متجه للمؤشرات في البعد الأول من var وaccum.
السمات الاختيارية (انظر Attrs
):
- use_locking: إذا كان True، فسيتم حماية تحديث موتر var وaccum بواسطة قفل؛ وإلا فإن السلوك غير محدد، ولكنه قد يحمل قدرًا أقل من الخلاف.
العوائد:
-
Output
: نفس "فار".
البنائين والمدمرين | |
---|---|
SparseApplyAdadelta (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) | |
SparseApplyAdadelta (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 SparseApplyAdadelta::Attrs & attrs) |
الصفات العامة | |
---|---|
operation | |
out |
الوظائف العامة | |
---|---|
node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const |
وظائف ثابتة العامة | |
---|---|
UseLocking (bool x) |
الهياكل | |
---|---|
Tensorflow:: ops:: SparseApplyAdadelta:: Attrs | محددات السمات الاختيارية لـ SparseApplyAdadelta . |
الصفات العامة
عملية
Operation operation
خارج
::tensorflow::Output out
الوظائف العامة
SparseApplyAdadelta
SparseApplyAdadelta( 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 )
SparseApplyAdadelta
SparseApplyAdadelta( 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 SparseApplyAdadelta::Attrs & attrs )
العقدة
::tensorflow::Node * node() const
المشغل::tensorflow::الإدخال
operator::tensorflow::Input() const
المشغل::tensorflow::الإخراج
operator::tensorflow::Output() const
وظائف ثابتة العامة
UseLocking
Attrs UseLocking( bool x )
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تاريخ التعديل الأخير: 2025-07-25 (حسب التوقيت العالمي المتفَّق عليه)
[null,null,["تاريخ التعديل الأخير: 2025-07-25 (حسب التوقيت العالمي المتفَّق عليه)"],[],[],null,["# tensorflow::ops::SparseApplyAdadelta Class Reference\n\ntensorflow::ops::SparseApplyAdadelta\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/r1.15/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/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_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- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same as \"var\".\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseApplyAdadelta](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1a10346d215f776d3e4336554f052545cb)`(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)` accum, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum_update, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` rho, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices)` ||\n| [SparseApplyAdadelta](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1a9a4a32f0d7bc40f4c2f4960151b6652d)`(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)` accum, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum_update, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` rho, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, const `[SparseApplyAdadelta::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_sparse_apply_adadelta_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1a24902e3a0d9ef60b0d3b286887554f70) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1a50eabd8a7e93bf722f57c0af4c445d20) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1afb4c76f26417ba0b14db299bca528f40)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1a7bbe6b4f17ecf1a92a119908aba54c77)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1a18310637d40bc623ca8f548c13bb54aa)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_sparse_apply_adadelta_1acbdbc14d33d39c6d7e41685963b0a775)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_sparse_apply_adadelta_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseApplyAdadelta::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-apply-adadelta/attrs) | Optional attribute setters for [SparseApplyAdadelta](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-apply-adadelta#classtensorflow_1_1ops_1_1_sparse_apply_adadelta). |\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### SparseApplyAdadelta\n\n```gdscript\n SparseApplyAdadelta(\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### SparseApplyAdadelta\n\n```gdscript\n SparseApplyAdadelta(\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 SparseApplyAdadelta::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```"]]