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텐서플로우:: 작전:: ApplyProximalAdagrad
#include <training_ops.h>
Adagrad 학습률을 사용하여 FOBOS에 따라 '*var' 및 '*accum'을 업데이트합니다.
요약
accum += grad * grad prox_v = var - lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lr*l2) * max{|prox_v|-lr*l1,0}
인수:
- 범위: 범위 개체
- var: Variable()에서 가져와야 합니다.
- accum: Variable()에서 가져와야 합니다.
- lr: 스케일링 팩터. 스칼라여야 합니다.
- l1: L1 정규화. 스칼라여야 합니다.
- l2: L2 정규화. 스칼라여야 합니다.
- grad: 그라데이션입니다.
선택적 속성( Attrs
참조):
- use_locking: True인 경우 var 및 accum 텐서 업데이트는 잠금으로 보호됩니다. 그렇지 않으면 동작이 정의되지 않지만 경합이 덜 나타날 수 있습니다.
보고:
생성자와 소멸자 |
---|
ApplyProximalAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad)
|
ApplyProximalAdagrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input grad, const ApplyProximalAdagrad::Attrs & attrs) |
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
사용잠금
Attrs UseLocking(
bool x
)
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::ApplyProximalAdagrad Class Reference\n\ntensorflow::ops::ApplyProximalAdagrad\n=====================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' and '\\*accum' according to FOBOS with Adagrad learning rate.\n\nSummary\n-------\n\naccum += grad \\* grad prox_v = var - 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/r1.15/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: 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\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_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- [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| [ApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1ad631e66a4af770b5e290d54095645039)`(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)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad)` ||\n| [ApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1a6197e139173a7abb3bda5dc8cd631cc4)`(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)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const `[ApplyProximalAdagrad::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_proximal_adagrad_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1aab516e6991e64c35481834487b8d2203) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1a53cf9fc743a8b5c317066ce86c2cff4e) | `::`[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_apply_proximal_adagrad_1a6485f5175e0c9a32f3ea0a5ca9997bfa)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1aaa631be6296658ab1f47f52b03291167)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1a1727266f9db90b1162fda6fe029cd841)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_apply_proximal_adagrad_1aa609b5e5be60876afadb978635de3737)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_proximal_adagrad_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ApplyProximalAdagrad::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-proximal-adagrad/attrs) | Optional attribute setters for [ApplyProximalAdagrad](/versions/r1.15/api_docs/cc/class/tensorflow/ops/apply-proximal-adagrad#classtensorflow_1_1ops_1_1_apply_proximal_adagrad). |\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### ApplyProximalAdagrad\n\n```gdscript\n ApplyProximalAdagrad(\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)\n``` \n\n### ApplyProximalAdagrad\n\n```gdscript\n ApplyProximalAdagrad(\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 const ApplyProximalAdagrad::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```"]]