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tensorflow::
ops::
Imag
#include <math_ops.h>
Returns the imaginary part of a complex number.
Summary
Given a tensor
input
of complex numbers, this operation returns a tensor of type
float
that is the imaginary part of each element in
input
.
All
elements in
input
must be complex numbers of the form \(a + bj\), where
a
is the real part and
b
is the imaginary part returned by this operation.
For example:
# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
tf.imag(input) ==> [4.75, 5.75]
Args:
Returns:
Public static functions
|
Tout
(DataType x)
|
|
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Tout
Attrs Tout(
DataType x
)
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Last updated 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::Imag Class Reference\n\ntensorflow::\nops::\nImag\n=======================\n\n`\n#include \u003cmath_ops.h\u003e\n`\n\n\nReturns the imaginary part of a complex number.\n\nSummary\n-------\n\n\nGiven a tensor\n`\ninput\n`\nof complex numbers, this operation returns a tensor of type\n`\nfloat\n`\nthat is the imaginary part of each element in\n`\ninput\n`\n.\n[All](/versions/r2.5/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all)\nelements in\n`\ninput\n`\nmust be complex numbers of the form \\\\(a + bj\\\\), where\n*a*\nis the real part and\n*b*\nis the imaginary part returned by this operation.\n\n\nFor example:\n\n\n```text\n# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]\ntf.imag(input) ==\u003e [4.75, 5.75]\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| ` `[Imag](#classtensorflow_1_1ops_1_1_imag_1a406c38bf970910d1b58248e9feccd27a)` (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| ` `[Imag](#classtensorflow_1_1ops_1_1_imag_1a2bdbce17d9777d3c89abd2119f8b4fb5)` (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, const `[Imag::Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/imag/attrs#structtensorflow_1_1ops_1_1_imag_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_imag_1aa302f5369963935318220e2bb607871f)` ` | ` `[Operation](/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_imag_1af53e5f297c5f3549d3b850f55236e02f)` ` | ` :: `[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_imag_1af1badb37efafaa8b189b8808921ff53f)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_imag_1a33696d39c41ab48057a23c8b98b762bf)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_imag_1a833743732a3dfa7acfc167a529386580)` () const ` | ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| ` `[Tout](#classtensorflow_1_1ops_1_1_imag_1a4de42f03c8df0d3972028cebd8bab495)` (DataType x) ` | ` `[Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/imag/attrs#structtensorflow_1_1ops_1_1_imag_1_1_attrs)` ` |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: Imag:: Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/imag/attrs) | Optional attribute setters for [Imag](/versions/r2.5/api_docs/cc/class/tensorflow/ops/imag#classtensorflow_1_1ops_1_1_imag) . |\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### Imag\n\n```gdscript\n Imag(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input\n)\n``` \n\n### Imag\n\n```gdscript\n Imag(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const Imag::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### Tout\n\n```text\nAttrs Tout(\n DataType x\n)\n```"]]
