Element-wise \(e^x\) function.

Calculates an approximation to the exponential function for each element \(x_i\) of the input tensor \(x\) (\(e\) raised to the power of \(x_i\), where \(e\) is the base of the natural logarithm).

This function has domain [-infinity, +infinity] and codomain [+0, +infinity].


x – input tensor. Should have a floating-point data type.


a tensor containing the evaluated exponential function result for each element in \(x\). The returned tensor must have a floating-point data type determined by 类型提升规则.

Special cases

For floating-point operands,

  • If \(x_i\) is NaN, the result is NaN.

  • If \(x_i\) is +0, the result is 1.

  • If \(x_i\) is -0, the result is 1.

  • If \(x_i\) is +infinity, the result is +infinity.

  • If \(x_i\) is -infinity, the result is +0.


>>> F.exp([0, F.log(2)])
Tensor([1. 2.], device=xpux:0)