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flujo tensor:: operaciones:: imagen
#include <math_ops.h>
Devuelve la parte imaginaria de un número complejo.
Resumen
Dada una input
tensorial de números complejos, esta operación devuelve un tensor de tipo float
que es la parte imaginaria de cada elemento en input
. Todos los elementos en input
deben ser números complejos de la forma \(a + bj\), donde a es la parte real y b es la parte imaginaria devuelta por esta operación.
Por ejemplo:
# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
tf.imag(input) ==> [4.75, 5.75]
Argumentos:
Devoluciones:
Funciones estáticas públicas |
---|
Tout (DataType x) | |
Atributos públicos
Funciones públicas
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
Revendedor
Attrs Tout(
DataType x
)
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Última actualización: 2025-07-25 (UTC).
[null,null,["Última actualización: 2025-07-25 (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/r2.0/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/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/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/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input)` ||\n| [Imag](#classtensorflow_1_1ops_1_1_imag_1a2bdbce17d9777d3c89abd2119f8b4fb5)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, const `[Imag::Attrs](/versions/r2.0/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/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_imag_1af53e5f297c5f3549d3b850f55236e02f) | `::`[tensorflow::Output](/versions/r2.0/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/r2.0/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/r2.0/api_docs/cc/struct/tensorflow/ops/imag/attrs) | Optional attribute setters for [Imag](/versions/r2.0/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```"]]