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tensorflow::
ops::
Conj
#include <math_ops.h>
Returns the complex conjugate of a complex number.
Summary
Given a tensor
input
of complex numbers, this operation returns a tensor of complex numbers that are the complex conjugate of each element in
input
. The complex numbers in
input
must be of the form \(a + bj\), where
a
is the real part and
b
is the imaginary part.
The complex conjugate returned by this operation is of the form \(a - bj\).
For example:
# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
tf.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]
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::Conj Class Reference\n\ntensorflow::\nops::\nConj\n=======================\n\n`\n#include \u003cmath_ops.h\u003e\n`\n\n\nReturns the complex conjugate of a complex number.\n\nSummary\n-------\n\n\nGiven a tensor\n`\ninput\n`\nof complex numbers, this operation returns a tensor of complex numbers that are the complex conjugate of each element in\n`\ninput\n`\n. The complex numbers in\n`\ninput\n`\nmust be of the form \\\\(a + bj\\\\), where\n*a*\nis the real part and\n*b*\nis the imaginary part.\n\n\nThe complex conjugate returned by this operation is of the form \\\\(a - bj\\\\).\n\n\nFor example:\n\n\n```text\n# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]\ntf.conj(input) ==\u003e [-2.25 - 4.75j, 3.25 - 5.75j]\n```\n\n\u003cbr /\u003e\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 output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[Conj](#classtensorflow_1_1ops_1_1_conj_1a8f7233511e2a1a69f87257562f793389)` (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)` input) ` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_conj_1a5fefdf385bc3d436389114cdc0a9f9ba)` ` | ` `[Operation](/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_conj_1aea384c3c77a5918f2d31b72ad64a155a)` ` | ` :: `[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_conj_1ac0a0d5db60f5731bf0fd10e22a70590c)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_conj_1a66307fa4c196df6a9506388209ade118)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_conj_1a6e6e95ae739308bad32d899ec224f213)` () const ` | ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### Conj\n\n```gdscript\n Conj(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input\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```"]]
