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MatrixLogarithm
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Calcula el logaritmo matricial de una o más matrices cuadradas:
\\(log(exp(A)) = A\\)
Esta operación solo está definida para matrices complejas. Si A es positivo-definido y real, entonces convertir a una matriz compleja, tomar el logaritmo y devolver a una matriz real dará el resultado correcto.
Esta función calcula el logaritmo de la matriz utilizando el algoritmo de Schur-Parlett. Los detalles del algoritmo se pueden encontrar en la Sección 11.6.2 de: Nicholas J. Higham, Funciones de matrices: teoría y computación, SIAM 2008. ISBN 978-0-898716-46-7.
La entrada es un tensor de forma "[..., M, M]" cuyas 2 dimensiones más internas forman matrices cuadradas. La salida es un tensor de la misma forma que la entrada que contiene el exponencial para todas las submatrices de entrada "[...,:,:]".
Constantes
| Cuerda | OP_NAME | El nombre de esta operación, como lo conoce el motor central de TensorFlow |
Métodos heredados
De la clase java.lang.Object | booleano | equals (Object arg0) |
| Clase final <?> | getClass () |
| En t | hashCode () |
| vacío final | notificar () |
| vacío final | notifyAll () |
| Cuerda | toString () |
| vacío final | espera (tiempo arg0, arg1 int) |
| vacío final | espera (arg0 largo) |
| vacío final | wait () |
Desde la interfaz org.tensorflow.Operand | abstracta de salida <T> | asOutput () Devuelve el identificador simbólico del tensor. |
| T abstracto | asTensor () Devuelve el tensor en este operando. |
| abstracta Forma | forma () Devuelve el (posiblemente parcialmente conocida) forma del tensor se hace referencia por la Output de esta operando. |
| clase abstracta <T> | escriba () Devuelve el tipo de tensor de este operando |
Constantes
OP_NAME pública final static String
El nombre de esta operación, como lo conoce el motor central de TensorFlow
Valor constante: "MatrixLogarithm"
Métodos públicos
pública de salida <T> asOutput ()
Devuelve el identificador simbólico del tensor.
Las entradas a las operaciones de TensorFlow son salidas de otra operación de TensorFlow. Este método se utiliza para obtener un identificador simbólico que representa el cálculo de la entrada.
Método de fábrica para crear una clase que envuelva una nueva operación MatrixLogarithm.
Parámetros
| alcance | alcance actual |
|---|
| aporte | La forma es "[..., M, M]". |
|---|
Devoluciones
- una nueva instancia de MatrixLogarithm
pública de salida <T> salida ()
La forma es "[..., M, M]".
Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2021-11-29 (UTC)
[null,null,["Última actualización: 2021-11-29 (UTC)"],[],[],null,["# MatrixLogarithm\n\npublic final class **MatrixLogarithm** \nComputes the matrix logarithm of one or more square matrices:\n\n\n\\\\\\\\(log(exp(A)) = A\\\\\\\\)\n\n\nThis op is only defined for complex matrices. If A is positive-definite and\nreal, then casting to a complex matrix, taking the logarithm and casting back\nto a real matrix will give the correct result.\n\n\nThis function computes the matrix logarithm using the Schur-Parlett algorithm.\nDetails of the algorithm can be found in Section 11.6.2 of:\nNicholas J. Higham, Functions of Matrices: Theory and Computation, SIAM 2008.\nISBN 978-0-898716-46-7.\n\n\nThe input is a tensor of shape \\`\\[..., M, M\\]\\` whose inner-most 2 dimensions\nform square matrices. The output is a tensor of the same shape as the input\ncontaining the exponential for all input submatrices \\`\\[..., :, :\\]\\`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|--------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/linalg/MatrixLogarithm#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/op/linalg/MatrixLogarithm#asOutput())() Returns the symbolic handle of the tensor. |\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [MatrixLogarithm](/jvm/api_docs/java/org/tensorflow/op/linalg/MatrixLogarithm)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/linalg/MatrixLogarithm#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e input) Factory method to create a class wrapping a new MatrixLogarithm operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [output](/jvm/api_docs/java/org/tensorflow/op/linalg/MatrixLogarithm#output())() Shape is \\`\\[..., M, M\\]\\`. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nFrom interface [org.tensorflow.Operand](/jvm/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of the tensor. |\n| abstract T | [asTensor](/jvm/api_docs/java/org/tensorflow/Operand#asTensor())() Returns the tensor at this operand. |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/Operand#shape())() Returns the (possibly partially known) shape of the tensor referred to by the [Output](/jvm/api_docs/java/org/tensorflow/Output) of this operand. |\n| abstract Class\\\u003cT\\\u003e | [type](/jvm/api_docs/java/org/tensorflow/Operand#type())() Returns the tensor type of this operand |\n\nFrom interface [org.tensorflow.ndarray.Shaped](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped) \n\n|-------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract int | [rank](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#rank())() |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#shape())() |\n| abstract long | [size](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#size())() Computes and returns the total size of this container, in number of values. |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"MatrixLogarithm\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of the tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [MatrixLogarithm](/jvm/api_docs/java/org/tensorflow/op/linalg/MatrixLogarithm)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e input)\n\nFactory method to create a class wrapping a new MatrixLogarithm operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | Shape is \\`\\[..., M, M\\]\\`. |\n|-------|-----------------------------|\n\n##### Returns\n\n- a new instance of MatrixLogarithm \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**output**\n()\n\nShape is \\`\\[..., M, M\\]\\`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e"]]
