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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]
Arguments:
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 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::Imag Class Reference\n\ntensorflow::ops::Imag\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the imaginary part of a complex number.\n\nSummary\n-------\n\nGiven 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](/versions/r1.15/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_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.\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\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 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/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)` input)` ||\n| [Imag](#classtensorflow_1_1ops_1_1_imag_1a2bdbce17d9777d3c89abd2119f8b4fb5)`(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)` input, const `[Imag::Attrs](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_imag_1af53e5f297c5f3549d3b850f55236e02f) | `::`[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_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/r1.15/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/r1.15/api_docs/cc/struct/tensorflow/ops/imag/attrs) | Optional attribute setters for [Imag](/versions/r1.15/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```"]]
