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tensorflow::
ops::
DivNoNan
#include <math_ops.h>
Returns 0 if the denominator is zero.
Summary
NOTE
:
DivNoNan
supports broadcasting. More about broadcasting
here
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 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::DivNoNan Class Reference\n\ntensorflow::\nops::\nDivNoNan\n===========================\n\n`\n#include \u003cmath_ops.h\u003e\n`\n\n\nReturns 0 if the denominator is zero.\n\nSummary\n-------\n\n\n*NOTE*\n:\n`\n`[DivNoNan](/versions/r2.5/api_docs/cc/class/tensorflow/ops/div-no-nan#classtensorflow_1_1ops_1_1_div_no_nan)`\n`\nsupports broadcasting. More about broadcasting\n[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[DivNoNan](#classtensorflow_1_1ops_1_1_div_no_nan_1a9d2aed125515fb8f25c21307ec51c25f)` (const :: `[tensorflow::Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y) ` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_div_no_nan_1a52f7e0ee4c45eebb6b249ab0b275ce4e)` ` | ` `[Operation](/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[z](#classtensorflow_1_1ops_1_1_div_no_nan_1a55107e26ac01d006344cee48f71d2444)` ` | ` :: `[tensorflow::Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------|--------------------------|\n| ` `[node](#classtensorflow_1_1ops_1_1_div_no_nan_1a159c9feb45badb0a54f6299f388edeec)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_div_no_nan_1a9173fbcd035b66fe11ed54469322aad0)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_div_no_nan_1a3a7cb1eff3d3843c2515decfba5fddd3)` () 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### DivNoNan\n\n```gdscript\n DivNoNan(\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```"]]
