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tensorflow::ops::MulNoNan
#include <math_ops.h>
Returns x * y element-wise.
Summary
Returns zero if y is zero, even if x if infinite or NaN.
NOTE: MulNoNan supports broadcasting. More about broadcasting here
Arguments:
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 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::MulNoNan Class Reference\n\ntensorflow::ops::MulNoNan\n=========================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns x \\* y element-wise.\n\nSummary\n-------\n\nReturns zero if y is zero, even if x if infinite or NaN.\n\n*NOTE* : [MulNoNan](/versions/r1.15/api_docs/cc/class/tensorflow/ops/mul-no-nan#classtensorflow_1_1ops_1_1_mul_no_nan) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MulNoNan](#classtensorflow_1_1ops_1_1_mul_no_nan_1a15d025b860c351d286402f02ac36a124)`(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)` y)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_mul_no_nan_1ab7096bdb2878a090c6002cd07f014c9f) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_mul_no_nan_1af6557824aa96a3e07cccd138a6d9c2ab) | `::`[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_mul_no_nan_1a62470d2f83c9045772c665ee0fce4b4a)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_mul_no_nan_1a6789002a3c0ed1180e5a334d107fa3eb)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_mul_no_nan_1a3e458b4664c9fe99532b110ebeaaba66)`() 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### MulNoNan\n\n```gdscript\n MulNoNan(\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```"]]
