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przepływ tensorowy:: ops:: SparseApplyAdagradDA
#include <training_ops.h> Zaktualizuj wpisy w „*var” i „*accum” zgodnie ze schematem bliższego adagradu.
Streszczenie
Argumenty:
- zakres: Obiekt Scope
- var: Powinien pochodzić ze zmiennej ().
- gradient_accumulator: Powinien pochodzić ze zmiennej ().
- gradient_squared_accumulator: Powinien pochodzić ze zmiennej ().
- grad: gradient.
- indeksy: wektor indeksów do pierwszego wymiaru var i accum.
- lr: Szybkość uczenia się. Musi być skalarem.
- l1: Regularyzacja L1. Musi być skalarem.
- l2: Regularyzacja L2. Musi być skalarem.
- global_step: Numer kroku szkolenia. Musi być skalarem.
Opcjonalne atrybuty (patrz Attrs ):
- use_locking: Jeśli True, aktualizacja tensorów var i accum będzie chroniona blokadą; w przeciwnym razie zachowanie jest niezdefiniowane, ale może wykazywać mniejszą rywalizację.
Zwroty:
-
Output : takie same jak „var”.
Konstruktory i destruktory |
|---|
SparseApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step)
|
SparseApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step, const SparseApplyAdagradDA::Attrs & attrs)
|
Atrybuty publiczne
Funkcje publiczne
SparseApplyAdagradDA
SparseApplyAdagradDA(
const ::tensorflow::Scope & scope,
::tensorflow::Input var,
::tensorflow::Input gradient_accumulator,
::tensorflow::Input gradient_squared_accumulator,
::tensorflow::Input grad,
::tensorflow::Input indices,
::tensorflow::Input lr,
::tensorflow::Input l1,
::tensorflow::Input l2,
::tensorflow::Input global_step,
const SparseApplyAdagradDA::Attrs & attrs
)
węzeł
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Wyjście
operator::tensorflow::Output() const
Publiczne funkcje statyczne
Użyj Blokowania
Attrs UseLocking(
bool x
)
O ile nie stwierdzono inaczej, treść tej strony jest objęta licencją Creative Commons – uznanie autorstwa 4.0, a fragmenty kodu są dostępne na licencji Apache 2.0. Szczegółowe informacje na ten temat zawierają zasady dotyczące witryny Google Developers. Java jest zastrzeżonym znakiem towarowym firmy Oracle i jej podmiotów stowarzyszonych.
Ostatnia aktualizacja: 2025-07-26 UTC.
[null,null,["Ostatnia aktualizacja: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::SparseApplyAdagradDA Class Reference\n\ntensorflow::ops::SparseApplyAdagradDA\n=====================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate entries in '\\*var' and '\\*accum' according to the proximal adagrad scheme.\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- var: Should be from a Variable().\n- gradient_accumulator: Should be from a Variable().\n- gradient_squared_accumulator: Should be from a Variable().\n- grad: The gradient.\n- indices: A vector of indices into the first dimension of var and accum.\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- global_step: Training step number. Must be a scalar.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_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/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same as \"var\".\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseApplyAdagradDA](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1afb1971e3dbb0f4a487a6069c9fdb15ee)`(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)` gradient_accumulator, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, ::`[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, ::`[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)` l1, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step)` ||\n| [SparseApplyAdagradDA](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1a61642fb9a5da48aa72a60bc248dd3e03)`(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)` gradient_accumulator, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, ::`[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, ::`[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)` l1, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step, const `[SparseApplyAdagradDA::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1a79d811cc083567eda56a62699a3a737c) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1ae2d982a56df04499e51fd2bcd4d2eaf1) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1ade2e4f81a3f15e8fcf846c76a6755f95)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1a9eca1ddc2bc2bfeb6b52f0381ded7681)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1a2294c61087c20e5f137686b036811953)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1a4c35b958f9150ddc168dc9c52e2b743e)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseApplyAdagradDA::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/sparse-apply-adagrad-d-a/attrs) | Optional attribute setters for [SparseApplyAdagradDA](/versions/r2.3/api_docs/cc/class/tensorflow/ops/sparse-apply-adagrad-d-a#classtensorflow_1_1ops_1_1_sparse_apply_adagrad_d_a). |\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### SparseApplyAdagradDA\n\n```gdscript\n SparseApplyAdagradDA(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input gradient_accumulator,\n ::tensorflow::Input gradient_squared_accumulator,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n ::tensorflow::Input lr,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input global_step\n)\n``` \n\n### SparseApplyAdagradDA\n\n```gdscript\n SparseApplyAdagradDA(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input gradient_accumulator,\n ::tensorflow::Input gradient_squared_accumulator,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n ::tensorflow::Input lr,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input global_step,\n const SparseApplyAdagradDA::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```"]]
