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tensorflow::
ops::
ResourceSparseApplyProximalGradientDescent
#include <training_ops.h>
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
Summary
That is for rows we have grad for, we update var as follows: prox_v = var - alpha * grad var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}
Args:
-
scope: A
Scope
object
-
var: Should be from a Variable().
-
alpha: Scaling factor. 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, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
Constructors and Destructors
|
ResourceSparseApplyProximalGradientDescent
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
alpha, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices)
|
ResourceSparseApplyProximalGradientDescent
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
alpha, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices, const
ResourceSparseApplyProximalGradientDescent::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::ResourceSparseApplyProximalGradientDescent Class Reference\n\ntensorflow::\nops::\nResourceSparseApplyProximalGradientDescent\n=============================================================\n\n`\n#include \u003ctraining_ops.h\u003e\n`\n\n\nSparse update '\\*var' as FOBOS algorithm with fixed learning rate.\n\nSummary\n-------\n\n\nThat is for rows we have grad for, we update var as follows: prox_v = var - alpha \\* grad var = sign(prox_v)/(1+alpha\\*l2) \\* max{\\|prox_v\\|-alpha\\*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- alpha: 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- 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-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1_1_attrs)`\n`\n):\n\n- use_locking: If True, the subtraction 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| ` `[ResourceSparseApplyProximalGradientDescent](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1a045bee13c19911e4f7a40bfe1366c6e1)` (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)` alpha, :: `[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| ` `[ResourceSparseApplyProximalGradientDescent](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1afac4191272f3b8d9d42cf0adb1b5427b)` (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)` alpha, :: `[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 `[ResourceSparseApplyProximalGradientDescent::Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1a378316d23cd77b905128227192e3b10c)` ` | ` `[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_gradient_descent_1ad6ed2bcb828502eb8831b972afe172f3)` () const ` | ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1a9dcb62b192d34bba83cb6cfc7026ee55)` (bool x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent_1_1_attrs)` ` |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: ResourceSparseApplyProximalGradientDescent:: Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-gradient-descent/attrs) | Optional attribute setters for [ResourceSparseApplyProximalGradientDescent](/versions/r2.6/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-proximal-gradient-descent#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent) . |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyProximalGradientDescent\n\n```gdscript\n ResourceSparseApplyProximalGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices\n)\n``` \n\n### ResourceSparseApplyProximalGradientDescent\n\n```gdscript\n ResourceSparseApplyProximalGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n const ResourceSparseApplyProximalGradientDescent::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```"]]
