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tensorflow::ops::TruncateMod
#include <math_ops.h>
Returns element-wise remainder of division.
Summary
This emulates C semantics in that
the result here is consistent with a truncating divide. E.g. truncate(x / y) * y + truncate_mod(x, y) = x.
NOTE: TruncateMod 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::TruncateMod Class Reference\n\ntensorflow::ops::TruncateMod\n============================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns element-wise remainder of division.\n\nSummary\n-------\n\nThis emulates C semantics in that\n\nthe result here is consistent with a truncating divide. E.g. `truncate(x / y) * y + truncate_mod(x, y) = x`.\n\n*NOTE* : [TruncateMod](/versions/r1.15/api_docs/cc/class/tensorflow/ops/truncate-mod#classtensorflow_1_1ops_1_1_truncate_mod) 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| [TruncateMod](#classtensorflow_1_1ops_1_1_truncate_mod_1acda7b02fb9a2b400c4efeb98d6d70823)`(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_truncate_mod_1a48def7939c9c249455cad5080e7570ba) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_truncate_mod_1a74be0c9fba0b11108ec800302c9d6909) | `::`[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_truncate_mod_1a6478ee2c965178820079636d148206b6)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_truncate_mod_1a5fe0aa9e2fd46f42913cb5a203f85eb4)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_truncate_mod_1a897f0c94d3f8917526cbb848a092051b)`() 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### TruncateMod\n\n```gdscript\n TruncateMod(\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```"]]
