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tensorflow::
ops::
ResourceApplyProximalAdagrad
#include <training_ops.h>
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
Summary
accum += grad * grad prox_v = var - lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lr*l2) * max{|prox_v|-lr*l1,0}
Args:
-
scope: A
Scope
object
-
var: Should be from a Variable().
-
accum: Should be from a Variable().
-
lr: Scaling factor. Must be a scalar.
-
l1: L1 regularization. Must be a scalar.
-
l2: L2 regularization. Must be a scalar.
-
grad: The gradient.
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
|
ResourceApplyProximalAdagrad
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
accum, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad)
|
ResourceApplyProximalAdagrad
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
accum, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, const
ResourceApplyProximalAdagrad::Attrs
& attrs)
|
Public attributes
Public functions
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 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::ResourceApplyProximalAdagrad Class Reference\n\ntensorflow::\nops::\nResourceApplyProximalAdagrad\n===============================================\n\n`\n#include \u003ctraining_ops.h\u003e\n`\n\n\nUpdate '\\*var' and '\\*accum' according to FOBOS with Adagrad learning rate.\n\nSummary\n-------\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\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/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\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_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/r2.6/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)`\n `\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[ResourceApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_1a3dc55415535e03c9cac239c5a41cc904)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad) ` ||\n| ` `[ResourceApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_1aef70d8bf8ea9923d3b3cfee71c18ce95)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const `[ResourceApplyProximalAdagrad::Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_1a4d1aa9f9c24bfc7d4749104b34445a51)` ` | ` `[Operation](/versions/r2.6/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_apply_proximal_adagrad_1a3c9634c10514a058357571fec4a3367b)` () const ` | ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_1a809b5b01e1c468c84f9bf66915a60e50)` (bool x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad_1_1_attrs)` ` |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: ResourceApplyProximalAdagrad:: Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-adagrad/attrs) | Optional attribute setters for [ResourceApplyProximalAdagrad](/versions/r2.6/api_docs/cc/class/tensorflow/ops/resource-apply-proximal-adagrad#classtensorflow_1_1ops_1_1_resource_apply_proximal_adagrad) . |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyProximalAdagrad\n\n```gdscript\n ResourceApplyProximalAdagrad(\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### ResourceApplyProximalAdagrad\n\n```gdscript\n ResourceApplyProximalAdagrad(\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 ResourceApplyProximalAdagrad::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```"]]
