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tensorflow::ops::ResourceScatterNdUpdate
#include <state_ops.h>
Applies sparse updates to individual values or slices within a given.
Summary
variable according to indices.
ref is a Tensor with rank P and indices is a Tensor of rank Q.
indices must be integer tensor, containing indices into ref. It must be shape [d_0, ..., d_{Q-2}, K] where 0 < K <= P.
The innermost dimension of indices (with length K) corresponds to indices into elements (if K = P) or slices (if K < P) along the Kth dimension of ref.
updates is Tensor of rank Q-1+P-K with shape:
[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]].
For example, say we want to update 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that update would look like this:
ref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8])
indices = tf.constant([[4], [3], [1] ,[7]])
updates = tf.constant([9, 10, 11, 12])
update = tf.scatter_nd_update(ref, indices, updates)
with tf.Session() as sess:
print sess.run(update)
The resulting update to ref would look like this:
[1, 11, 3, 10, 9, 6, 7, 12]
See tf.scatter_nd for more details about how to make updates to slices.
Arguments:
- scope: A Scope object
- ref: A resource handle. Must be from a VarHandleOp.
- indices: A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref.
- updates: A Tensor. Must have the same type as ref. A tensor of updated values to add to ref.
Optional attributes (see Attrs):
- use_locking: An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
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 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::ResourceScatterNdUpdate Class Reference\n\ntensorflow::ops::ResourceScatterNdUpdate\n========================================\n\n`#include \u003cstate_ops.h\u003e`\n\nApplies sparse `updates` to individual values or slices within a given.\n\nSummary\n-------\n\nvariable according to `indices`.\n\n`ref` is a [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with rank `P` and `indices` is a [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of rank `Q`.\n\n`indices` must be integer tensor, containing indices into `ref`. It must be shape `[d_0, ..., d_{Q-2}, K]` where `0 \u003c K \u003c= P`.\n\nThe innermost dimension of `indices` (with length `K`) corresponds to indices into elements (if `K = P`) or slices (if `K \u003c P`) along the `K`th dimension of `ref`.\n\n`updates` is [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of rank `Q-1+P-K` with shape:\n\n\n```transact-sql\n[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]].\n```\n\n\u003cbr /\u003e\n\nFor example, say we want to update 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that update would look like this:\n\n\n```gdscript\n ref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8])\n indices = tf.constant([[4], [3], [1] ,[7]])\n updates = tf.constant([9, 10, 11, 12])\n update = tf.scatter_nd_update(ref, indices, updates)\n with tf.Session() as sess:\n print sess.run(update)\n```\n\n\u003cbr /\u003e\n\nThe resulting update to ref would look like this: \n\n```text\n[1, 11, 3, 10, 9, 6, 7, 12]\n```\n\n\u003cbr /\u003e\n\nSee `tf.scatter_nd` for more details about how to make updates to slices.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- ref: A resource handle. Must be from a VarHandleOp.\n- indices: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor). Must be one of the following types: int32, int64. A tensor of indices into ref.\n- updates: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor). Must have the same type as ref. A tensor of updated values to add to ref.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-update/attrs#structtensorflow_1_1ops_1_1_resource_scatter_nd_update_1_1_attrs)):\n\n- use_locking: An optional bool. Defaults to True. If True, the assignment 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/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceScatterNdUpdate](#classtensorflow_1_1ops_1_1_resource_scatter_nd_update_1a701849b468a1d765a8fa8ecf1820f464)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ref, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates)` ||\n| [ResourceScatterNdUpdate](#classtensorflow_1_1ops_1_1_resource_scatter_nd_update_1a6f3373c4c7b0450a123c9ba20c4c116a)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ref, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates, const `[ResourceScatterNdUpdate::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-update/attrs#structtensorflow_1_1ops_1_1_resource_scatter_nd_update_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_scatter_nd_update_1a01f20b9b8778a7d8d62790ded4be2b87) | [Operation](/versions/r1.15/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_scatter_nd_update_1a34c9c3a28d29d52204c5232e44b0b7cf)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_scatter_nd_update_1aa18969344553eac87e406dad8ba84204)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-update/attrs#structtensorflow_1_1ops_1_1_resource_scatter_nd_update_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceScatterNdUpdate::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-update/attrs) | Optional attribute setters for [ResourceScatterNdUpdate](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-scatter-nd-update#classtensorflow_1_1ops_1_1_resource_scatter_nd_update). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceScatterNdUpdate\n\n```gdscript\n ResourceScatterNdUpdate(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates\n)\n``` \n\n### ResourceScatterNdUpdate\n\n```gdscript\n ResourceScatterNdUpdate(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates,\n const ResourceScatterNdUpdate::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```"]]
