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tensorflow::
ops::
ResourceSparseApplyProximalAdagrad
#include <training_ops.h>
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
Summary
That is for rows we have grad for, we update var and accum as follows: accum += grad * grad prox_v = var prox_v -= 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: Learning rate. Must be a scalar.
-
l1: L1 regularization. Must be a scalar.
-
l2: L2 regularization. Must be a scalar.
-
grad: The gradient.
-
indices: A vector of indices into the first dimension of var and accum.
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
|
ResourceSparseApplyProximalAdagrad
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
accum, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices)
|
ResourceSparseApplyProximalAdagrad
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
accum, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices, const
ResourceSparseApplyProximalAdagrad::Attrs
& attrs)
|
Public attributes
Public functions
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UseLocking
Attrs UseLocking(
bool x
)
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::ResourceSparseApplyProximalAdagrad Class Reference\n\ntensorflow::\nops::\nResourceSparseApplyProximalAdagrad\n=====================================================\n\n`\n#include \u003ctraining_ops.h\u003e\n`\n\n\nSparse update entries in '\\*var' and '\\*accum' according to FOBOS algorithm.\n\nSummary\n-------\n\n\nThat is for rows we have grad for, we update var and accum as follows: accum += grad \\* grad prox_v = var prox_v -= 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: Learning rate. 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- indices: A vector of indices into the first dimension of var and accum.\n\n\u003cbr /\u003e\n\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_sparse_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| ` `[ResourceSparseApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1a9ba5d6012d22eb8cef96aa1430a716d8)` (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, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices) ` ||\n| ` `[ResourceSparseApplyProximalAdagrad](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1a2ce03ebf9da64e7d774f3b6db1daca06)` (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, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, const `[ResourceSparseApplyProximalAdagrad::Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1a595536a098c870a8f2829e5f66acd14f)` ` | ` `[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_sparse_apply_proximal_adagrad_1a40cb4f8b3990e91994267556ab98bc6a)` () const ` | ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1ad945842d2b66c8aaabe2cf9d84418874)` (bool x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad_1_1_attrs)` ` |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: ResourceSparseApplyProximalAdagrad:: Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-adagrad/attrs) | Optional attribute setters for [ResourceSparseApplyProximalAdagrad](/versions/r2.6/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-proximal-adagrad#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_adagrad) . |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyProximalAdagrad\n\n```gdscript\n ResourceSparseApplyProximalAdagrad(\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 ::tensorflow::Input indices\n)\n``` \n\n### ResourceSparseApplyProximalAdagrad\n\n```gdscript\n ResourceSparseApplyProximalAdagrad(\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 ::tensorflow::Input indices,\n const ResourceSparseApplyProximalAdagrad::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```"]]
