تدفق التوتر:: العمليات:: ResourceSparseApplyProximalAdagrad
#include <training_ops.h>
إدخالات تحديث متفرقة في '*var' و'*accum' وفقًا لخوارزمية FOBOS.
ملخص
هذا بالنسبة للصفوف التي لدينا درجة لها، نقوم بتحديث var وaccum على النحو التالي: accum += grad * grad prox_v = var prox_v -= lr * grad * (1 / sqrt(accum)) var =sign(prox_v)/(1 +lr*l2) * الحد الأقصى{|prox_v|-lr*l1,0}
الحجج:
- النطاق: كائن النطاق
- فار: يجب أن يكون من متغير ().
- تراكم: يجب أن يكون من متغير ().
- ل: معدل التعلم. يجب أن يكون العددية.
- l1: تسوية L1. يجب أن يكون العددية.
- l2: تسوية L2. 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:
-
Operation
التي تم إنشاؤها
البنائين والمدمرين | |
---|---|
ResourceSparseApplyProximalAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad, :: tensorflow::Input indices) | |
ResourceSparseApplyProximalAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad, :: tensorflow::Input indices, const ResourceSparseApplyProximalAdagrad::Attrs & attrs) |
الصفات العامة | |
---|---|
operation |
الوظائف العامة | |
---|---|
operator::tensorflow::Operation () const |
وظائف ثابتة العامة | |
---|---|
UseLocking (bool x) |
الهياكل | |
---|---|
Tensorflow:: ops:: ResourceSparseApplyProximalAdagrad:: Attrs | محددات السمات الاختيارية لـ ResourceSparseApplyProximalAdagrad . |
الصفات العامة
عملية
Operation operation
الوظائف العامة
ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, ::tensorflow::Input indices )
ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyProximalAdagrad::Attrs & attrs )
المشغل::tensorflow::Operation
operator::tensorflow::Operation() const
وظائف ثابتة العامة
UseLocking
Attrs UseLocking( bool x )
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تاريخ التعديل الأخير: 2025-07-26 (حسب التوقيت العالمي المتفَّق عليه)
[null,null,["تاريخ التعديل الأخير: 2025-07-26 (حسب التوقيت العالمي المتفَّق عليه)"],[],[],null,["# tensorflow::ops::ResourceSparseApplyProximalAdagrad Class Reference\n\ntensorflow::ops::ResourceSparseApplyProximalAdagrad\n===================================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nSparse update entries in '\\*var' and '\\*accum' according to FOBOS algorithm.\n\nSummary\n-------\n\nThat is for rows we have grad for, we update var and accum as follows: accum += grad \\* grad prox_v = var prox_v -= lr \\* grad \\* (1 / sqrt(accum)) var = sign(prox_v)/(1+lr\\*l2) \\* max{\\|prox_v\\|-lr\\*l1,0}\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- accum: Should be from a Variable().\n- lr: Learning rate. Must be a scalar.\n- l1: L1 regularization. Must be a scalar.\n- l2: L2 regularization. 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/r2.1/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_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| [ResourceSparseApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1a9ba5d6012d22eb8cef96aa1430a716d8)`(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)` accum, ::`[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)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices)` ||\n| [ResourceSparseApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1a2ce03ebf9da64e7d774f3b6db1daca06)`(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)` accum, ::`[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)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, const `[ResourceSparseApplyProximalAdagrad::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1a595536a098c870a8f2829e5f66acd14f) | [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_sparse_apply_proximal_adagrad_1a40cb4f8b3990e91994267556ab98bc6a)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1ad945842d2b66c8aaabe2cf9d84418874)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceSparseApplyProximalAdagrad::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs) | Optional attribute setters for [ResourceSparseApplyProximalAdagrad](/versions/r2.1/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-proximal-adagrad#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyProximalAdagrad\n\n```gdscript\n ResourceSparseApplyProximalAdagrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices\n)\n``` \n\n### ResourceSparseApplyProximalAdagrad\n\n```gdscript\n ResourceSparseApplyProximalAdagrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n const ResourceSparseApplyProximalAdagrad::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```"]]