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tensorflow::
ops::
ResourceSparseApplyAdagradDA
#include <training_ops.h>
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
Summary
Args:
-
scope: A
Scope
object
-
var: Should be from a Variable().
-
gradient_accumulator: Should be from a Variable().
-
gradient_squared_accumulator: Should be from a Variable().
-
grad: The gradient.
-
indices: A vector of indices into the first dimension of var and accum.
-
lr: Learning rate. Must be a scalar.
-
l1: L1 regularization. Must be a scalar.
-
l2: L2 regularization. Must be a scalar.
-
global_step: Training step number. Must be a scalar.
Optional attributes (see
Attrs
):
-
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.
Returns:
Constructors and Destructors
|
ResourceSparseApplyAdagradDA
(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)
|
ResourceSparseApplyAdagradDA
(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
ResourceSparseApplyAdagradDA::Attrs
& attrs)
|
Public attributes
Public functions
ResourceSparseApplyAdagradDA
ResourceSparseApplyAdagradDA(
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 ResourceSparseApplyAdagradDA::Attrs & attrs
)
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UseLocking
Attrs UseLocking(
bool x
)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::ResourceSparseApplyAdagradDA Class Reference\n\ntensorflow::\nops::\nResourceSparseApplyAdagradDA\n===============================================\n\n`\n#include \u003ctraining_ops.h\u003e\n`\n\n\nUpdate entries in '\\*var' and '\\*accum' according to the proximal adagrad scheme.\n\nSummary\n-------\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.5/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\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1_1_attrs)`\n`\n):\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\n\nReturns:\n\n- the created `\n `[Operation](/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)`\n `\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[ResourceSparseApplyAdagradDA](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1a73ffdbfa10ec272bfe2b93f579109c28)` (const :: `[tensorflow::Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_accumulator, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step) ` ||\n| ` `[ResourceSparseApplyAdagradDA](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1aae8dd33efc6b892fa94673149d533534)` (const :: `[tensorflow::Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_accumulator, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step, const `[ResourceSparseApplyAdagradDA::Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1af19182343e1d08847c2cf51d1ae38840)` ` | ` `[Operation](/versions/r2.5/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_adagrad_d_a_1a2d06e93c04e37fbab24141d187d63698)` () const ` | ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1aef5e4815d60b62a5862a6a8427f5d3ae)` (bool x) ` | ` `[Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adagrad-d-a/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a_1_1_attrs)` ` |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: ResourceSparseApplyAdagradDA:: Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adagrad-d-a/attrs) | Optional attribute setters for [ResourceSparseApplyAdagradDA](/versions/r2.5/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adagrad-d-a#classtensorflow_1_1ops_1_1_resource_sparse_apply_adagrad_d_a) . |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyAdagradDA\n\n```gdscript\n ResourceSparseApplyAdagradDA(\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### ResourceSparseApplyAdagradDA\n\n```gdscript\n ResourceSparseApplyAdagradDA(\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 ResourceSparseApplyAdagradDA::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```"]]
