# mars.tensor.exp¶

mars.tensor.exp(x, out=None, where=None, **kwargs)[source]

Calculate the exponential of all elements in the input tensor.

x : array_like
Input values.
out : Tensor, None, or tuple of Tensor and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs
For other keyword-only arguments, see the ufunc docs.
out : Tensor
Output tensor, element-wise exponential of x.

expm1 : Calculate exp(x) - 1 for all elements in the array. exp2 : Calculate 2**x for all elements in the array.

The irrational number e is also known as Euler’s number. It is approximately 2.718281, and is the base of the natural logarithm, ln (this means that, if $$x = \ln y = \log_e y$$, then $$e^x = y$$. For real input, exp(x) is always positive.

For complex arguments, x = a + ib, we can write $$e^x = e^a e^{ib}$$. The first term, $$e^a$$, is already known (it is the real argument, described above). The second term, $$e^{ib}$$, is $$\cos b + i \sin b$$, a function with magnitude 1 and a periodic phase.

 [1] Wikipedia, “Exponential function”, http://en.wikipedia.org/wiki/Exponential_function
 [2] M. Abramovitz and I. A. Stegun, “Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables,” Dover, 1964, p. 69, http://www.math.sfu.ca/~cbm/aands/page_69.htm

Plot the magnitude and phase of exp(x) in the complex plane:

>>> import mars.tensor as mt
>>> import matplotlib.pyplot as plt

>>> x = mt.linspace(-2*mt.pi, 2*mt.pi, 100)
>>> xx = x + 1j * x[:, mt.newaxis] # a + ib over complex plane
>>> out = mt.exp(xx)

>>> plt.subplot(121)
>>> plt.imshow(mt.abs(out).execute(),
...            extent=[-2*mt.pi, 2*mt.pi, -2*mt.pi, 2*mt.pi], cmap='gray')
>>> plt.title('Magnitude of exp(x)')

>>> plt.subplot(122)
>>> plt.imshow(mt.angle(out).execute(),
...            extent=[-2*mt.pi, 2*mt.pi, -2*mt.pi, 2*mt.pi], cmap='hsv')
>>> plt.title('Phase (angle) of exp(x)')
>>> plt.show()