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tensorflow::
ops::
ResourceSparseApplyAdadelta
#include <training_ops.h>
var: Should be from a Variable().
Summary
Args:
-
scope: A
Scope
object
-
accum: Should be from a Variable().
-
accum_update: : Should be from a Variable().
-
lr: Learning rate. Must be a scalar.
-
rho: Decay factor. Must be a scalar.
-
epsilon: Constant factor. 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
|
ResourceSparseApplyAdadelta
(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)
|
ResourceSparseApplyAdadelta
(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
ResourceSparseApplyAdadelta::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::ResourceSparseApplyAdadelta Class Reference\n\ntensorflow::\nops::\nResourceSparseApplyAdadelta\n==============================================\n\n`\n#include \u003ctraining_ops.h\u003e\n`\n\n\nvar: Should be from a Variable().\n\nSummary\n-------\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/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\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_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| ` `[ResourceSparseApplyAdadelta](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1ac0369a8a48b24e742fa836599eb174af)` (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)` accum_update, :: `[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)` rho, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, :: `[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| ` `[ResourceSparseApplyAdadelta](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a9a3ddb8290d6c30f1e25e26f7ba03a0e)` (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)` accum_update, :: `[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)` rho, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, :: `[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 `[ResourceSparseApplyAdadelta::Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a4e843242aeead4a27df958f70025e05d)` ` | ` `[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_adadelta_1a334a1a1add4a3894ab372852c319af6d)` () const ` | ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a403257d2f3b607fd2daebf72a0415d8f)` (bool x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs)` ` |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: ResourceSparseApplyAdadelta:: Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs) | Optional attribute setters for [ResourceSparseApplyAdadelta](/versions/r2.6/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta) . |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyAdadelta\n\n```gdscript\n ResourceSparseApplyAdadelta(\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### ResourceSparseApplyAdadelta\n\n```gdscript\n ResourceSparseApplyAdadelta(\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 ResourceSparseApplyAdadelta::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```"]]
