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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
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::ResourceSparseApplyAdagradDA Class Reference\n\ntensorflow::ops::ResourceSparseApplyAdagradDA\n=============================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate entries in '\\*var' and '\\*accum' according to the proximal adagrad scheme.\n\nSummary\n-------\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/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\nOptional attributes (see [Attrs](/versions/r2.14/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- 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\nReturns:\n\n- the created [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\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/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_accumulator, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.14/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/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_accumulator, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` gradient_squared_accumulator, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` global_step, const `[ResourceSparseApplyAdagradDA::Attrs](/versions/r2.14/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/r2.14/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/r2.14/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/r2.14/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adagrad-d-a/attrs) | Optional attribute setters for [ResourceSparseApplyAdagradDA](/versions/r2.14/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```"]]
