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tensorflow::ops::Add
#include <math_ops.h>
Returns x + y element-wise.
Summary
NOTE: Add supports broadcasting. AddN does not. More about broadcasting here
Given two input tensors, the tf.add operation computes the sum for every element in the tensor.
Both input and output have a range (-inf, inf).
Args:
Returns:
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::Add Class Reference\n\ntensorflow::ops::Add\n====================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns x + y element-wise.\n\nSummary\n-------\n\n*NOTE* : [Add](/versions/r2.14/api_docs/cc/class/tensorflow/ops/add#classtensorflow_1_1ops_1_1_add) supports broadcasting. [AddN](/versions/r2.14/api_docs/cc/class/tensorflow/ops/add-n#classtensorflow_1_1ops_1_1_add_n) does not. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\nGiven two input tensors, the `tf.add` operation computes the sum for every element in the tensor.\n\nBoth input and output have a range `(-inf, inf)`.\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Add](#classtensorflow_1_1ops_1_1_add_1a22a7ff05cc6f6e5c5323fc98a71521c4)`(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)` x, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_add_1a4fefd3ff7af9d37b374db299a36ddaee) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_add_1a85470018581f846e818de93be3cbbda9) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_add_1a516d025bfd4e035ba7152a277319bdee)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_add_1a55fd96e0d14ff73d6aef1087952b6db2)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_add_1a6873696b8a1abc00d654d99bc533697b)`() const ` | |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### z\n\n```text\n::tensorflow::Output z\n``` \n\nPublic functions\n----------------\n\n### Add\n\n```gdscript\n Add(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y\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```"]]
