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テンソルフロー::作戦:: SparseApplyAdadelta
#include <training_ops.h>
var: Variable() から取得する必要があります。
まとめ
引数:
- スコープ:スコープオブジェクト
- accum: Variable() から取得する必要があります。
- accum_update: : Variable() から取得する必要があります。
- lr: 学習率。スカラーでなければなりません。
- rho: 減衰係数。スカラーでなければなりません。
- ε: 定数係数。スカラーでなければなりません。
- grad: グラデーション。
- indices: var と accum の最初の次元へのインデックスのベクトル。
オプションの属性 ( Attrs
を参照):
- use_locking: True の場合、var テンソルと accum テンソルの更新はロックによって保護されます。それ以外の場合、動作は未定義ですが、競合が少なくなる可能性があります。
戻り値:
コンストラクターとデストラクター |
---|
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) |
パブリック属性
公共機能
ノード
::tensorflow::Node * node() const
operator::tensorflow::Input() const
演算子::tensorflow::出力
operator::tensorflow::Output() const
パブリック静的関数
ロックを使用する
Attrs UseLocking(
bool x
)
特に記載のない限り、このページのコンテンツはクリエイティブ・コモンズの表示 4.0 ライセンスにより使用許諾されます。コードサンプルは Apache 2.0 ライセンスにより使用許諾されます。詳しくは、Google Developers サイトのポリシーをご覧ください。Java は Oracle および関連会社の登録商標です。
最終更新日 2025-07-25 UTC。
[null,null,["最終更新日 2025-07-25 UTC。"],[],[],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```"]]