Stay organized with collections
Save and categorize content based on your preferences.
tensorflow::ops::InplaceUpdate
#include <array_ops.h>
Updates specified rows with values in v.
Summary
Computes x[i, :] = v; return x.
Arguments:
- scope: A Scope object
- x: A tensor of type
T.
- i: A vector. Indices into the left-most dimension of
x.
- v: A
Tensor of type T. Same dimension sizes as x except the first dimension, which must be the same as i's size.
Returns:
Output: A Tensor of type T. An alias of x. The content of y is undefined if there are duplicates in i.
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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.
Last updated 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::InplaceUpdate Class Reference\n\ntensorflow::ops::InplaceUpdate\n==============================\n\n`#include \u003carray_ops.h\u003e`\n\nUpdates specified rows with values in `v`.\n\nSummary\n-------\n\nComputes `x[i, :] = v; return x`.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- x: A tensor of type `T`.\n- i: A vector. Indices into the left-most dimension of `x`.\n- v: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of type T. Same dimension sizes as x except the first dimension, which must be the same as i's size.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of type T. An alias of `x`. The content of `y` is undefined if there are duplicates in `i`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [InplaceUpdate](#classtensorflow_1_1ops_1_1_inplace_update_1a61fe27a3358ffab9492ce7bfc2042de1)`(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)` x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` i, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` v)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_inplace_update_1a91189ac8c186d4220acb877550f734f2) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_inplace_update_1aa179189c713747eac0e48c9e63fcc143) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_inplace_update_1a70386af06c7715d224f82022915de138)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_inplace_update_1a04ab1445ae7b42549a58ffa9ebf5699a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_inplace_update_1acc127f3b9cf898b32b2c1fd0ab8da6d3)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### y\n\n```text\n::tensorflow::Output y\n``` \n\nPublic functions\n----------------\n\n### InplaceUpdate\n\n```gdscript\n InplaceUpdate(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input i,\n ::tensorflow::Input v\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
