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Exp
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Calcula exponencial de x elemento a elemento. \\(y = e^x\\).
Esta função calcula o exponencial de cada elemento no tensor de entrada. isto é, `exp (x)` ou `e ^ (x)`, onde `x` é o tensor de entrada. `e` denota o número de Euler e é aproximadamente igual a 2,718281. A saída é positiva para qualquer entrada real.
x = tf.constant(2.0)
tf.math.exp(x) ==> 7.389056
x = tf.constant([2.0, 8.0])
tf.math.exp(x) ==> array([7.389056, 2980.958], dtype=float32)
Para números complexos, o valor exponencial é calculado como se segue:
e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)
Vamos considerar complexa número 1 + 1j como um exemplo. e ^ 1 * (cos 1 + i sen 1) = 2,7182818284590 * (0,54030230586 + 0,8414709848j)
x = tf.constant(1 + 1j)
tf.math.exp(x) ==> 1.4686939399158851+2.2873552871788423j
Constantes
Fragmento | OP_NAME | O nome desta operação, conforme conhecido pelo motor principal TensorFlow |
Métodos herdados
Da classe java.lang.Object boleano | equals (arg0 Object) |
aula final <?> | getClass () |
int | hashCode () |
vazio final | notificar () |
vazio final | notifyAll () |
Fragmento | toString () |
vazio final | wait (longa arg0, int arg1) |
vazio final | wait (arg0 de comprimento) |
vazio final | wait () |
A partir da interface org.tensorflow.Operand abstrato Output <T> | asOutput () Retorna o identificador simbólico do tensor. |
T abstrato | asTensor () Retorna o tensor neste operando. |
abstrato Forma | forma () Retorna o (possivelmente parcialmente conhecida) forma do tensor referido pela Output deste operando. |
Classe abstrata <T> | digitar () Retorna o tipo de tensor deste operando |
Constantes
nome_op final String public static
O nome desta operação, conforme conhecido pelo motor principal TensorFlow
Valor constante: "Exp"
Métodos Públicos
pública Output <T> asOutput ()
Retorna o identificador simbólico do tensor.
As entradas para as operações do TensorFlow são saídas de outra operação do TensorFlow. Este método é usado para obter um identificador simbólico que representa o cálculo da entrada.
public static Exp <T> create ( Scope escopo, Operando <T> x)
Método de fábrica para criar uma classe envolvendo uma nova operação Exp.
Devoluções
- uma nova instância de Exp
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2021-11-29 UTC.
[null,null,["Última atualização 2021-11-29 UTC."],[],[],null,["# Exp\n\npublic final class **Exp** \nComputes exponential of x element-wise. \\\\\\\\(y = e\\^x\\\\\\\\).\n\n\nThis function computes the exponential of every element in the input tensor.\ni.e. \\`exp(x)\\` or \\`e\\^(x)\\`, where \\`x\\` is the input tensor.\n\\`e\\` denotes Euler's number and is approximately equal to 2.718281.\nOutput is positive for any real input.\n\n\n x = tf.constant(2.0)\n tf.math.exp(x) ==\u003e 7.389056\n \n x = tf.constant([2.0, 8.0])\n tf.math.exp(x) ==\u003e array([7.389056, 2980.958], dtype=float32)\n \nFor complex numbers, the exponential value is calculated as follows:\n\n\n e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)\n \nLet's consider complex number 1+1j as an example. e\\^1 \\* (cos 1 + i sin 1) = 2.7182818284590 \\* (0.54030230586+0.8414709848j)\n\n\n x = tf.constant(1 + 1j)\n tf.math.exp(x) ==\u003e 1.4686939399158851+2.2873552871788423j\n \n\u003cbr /\u003e\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/math/Exp#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/math/Exp#asOutput())() Returns the symbolic handle of the tensor. |\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [Exp](/jvm/api_docs/java/org/tensorflow/op/math/Exp)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/math/Exp#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 x) Factory method to create a class wrapping a new Exp operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [y](/jvm/api_docs/java/org/tensorflow/op/math/Exp#y())() |\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: \"Exp\"\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 [Exp](/jvm/api_docs/java/org/tensorflow/op/math/Exp)\\\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 x)\n\nFactory method to create a class wrapping a new Exp operation. \n\n##### Parameters\n\n| scope | current scope |\n|-------|---------------|\n\n##### Returns\n\n- a new instance of Exp \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**y**\n()\n\n\u003cbr /\u003e"]]