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tensor akışı:: işlem:: SparseApplyProximalGradientDescent
#include <training_ops.h> Sabit öğrenme oranına sahip FOBOS algoritması olarak seyrek güncelleme '*var'.
Özet
Yani, derecelendirdiğimiz satırlar için var'ı şu şekilde güncelleriz: $$prox_v = var - alpha * grad$$ $$var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}$$
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- var: Bir Variable()'dan olmalıdır.
- alfa: Ölçeklendirme faktörü. Bir skaler olmalı.
- l1: L1 düzenlemesi. Bir skaler olmalı.
- l2: L2 düzenlemesi. Bir skaler olmalı.
- grad: Gradyan.
- indeksler: var ve accum'un ilk boyutuna ait indekslerin bir vektörü.
İsteğe bağlı özellikler (bkz. Attrs ):
- use_locking: True ise çıkarma işlemi bir kilitle korunacaktır; aksi takdirde davranış tanımsızdır ancak daha az çekişme sergileyebilir.
İade:
Yapıcılar ve Yıkıcılar |
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SparseApplyProximalGradientDescent (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input alpha, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad, :: tensorflow::Input indices)
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SparseApplyProximalGradientDescent (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input alpha, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad, :: tensorflow::Input indices, const SparseApplyProximalGradientDescent::Attrs & attrs)
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Genel özellikler
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Son güncelleme tarihi: 2025-07-26 UTC.
[[["Anlaması kolay","easyToUnderstand","thumb-up"],["Sorunumu çözdü","solvedMyProblem","thumb-up"],["Diğer","otherUp","thumb-up"]],[["İhtiyacım olan bilgiler yok","missingTheInformationINeed","thumb-down"],["Çok karmaşık / çok fazla adım var","tooComplicatedTooManySteps","thumb-down"],["Güncel değil","outOfDate","thumb-down"],["Çeviri sorunu","translationIssue","thumb-down"],["Örnek veya kod sorunu","samplesCodeIssue","thumb-down"],["Diğer","otherDown","thumb-down"]],["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::SparseApplyProximalGradientDescent Class Reference\n\ntensorflow::ops::SparseApplyProximalGradientDescent\n===================================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nSparse update '\\*var' as FOBOS algorithm with fixed learning rate.\n\nSummary\n-------\n\nThat is for rows we have grad for, we update var as follows: $$prox_v = var - alpha \\* grad$$ $$var = sign(prox_v)/(1+alpha\\*l2) \\* max{\\|prox_v\\|-alpha\\*l1,0}$$\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/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- 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/r2.0/api_docs/cc/struct/tensorflow/ops/sparse-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_sparse_apply_proximal_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- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same as \"var\".\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseApplyProximalGradientDescent](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1a372f39ab528e739f2009829f8209517b)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices)` ||\n| [SparseApplyProximalGradientDescent](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1a8ba255097ba97fd395eb2528cf675341)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, const `[SparseApplyProximalGradientDescent::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/sparse-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1a8787a4b4f05f63e721e95dc8c8ae25e6) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1a0f7e7354d7d857df6ba06081c84b4f97) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1a479c0fc042fbe24ce695f756d8254d0b)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1a94b9654761c297155f6b1ad3a8aa86e2)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1af963b74c94589fa8d01e7c6731da53f1)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1ad1049d2df604f472a032326555f15024)`(bool x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/sparse-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseApplyProximalGradientDescent::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/sparse-apply-proximal-gradient-descent/attrs) | Optional attribute setters for [SparseApplyProximalGradientDescent](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-apply-proximal-gradient-descent#classtensorflow_1_1ops_1_1_sparse_apply_proximal_gradient_descent). |\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### SparseApplyProximalGradientDescent\n\n```gdscript\n SparseApplyProximalGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices\n)\n``` \n\n### SparseApplyProximalGradientDescent\n\n```gdscript\n SparseApplyProximalGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n const SparseApplyProximalGradientDescent::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```"]]
