|  TensorFlow 1 version | 
Computes exponential of x element-wise. \(y = e^x\).
tf.math.exp(
    x, name=None
)
This function computes the exponential of every element in the input tensor.
  i.e. exp(x) or e^(x), where x is the input tensor.
  e denotes Euler's number and is approximately equal to 2.718281.
  Output is positive for any real input.
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)
For complex numbers, the exponential value is calculated as follows:
e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)
Let's consider complex number 1+1j as an example. e^1 * (cos 1 + i sin 1) = 2.7182818284590 * (0.54030230586+0.8414709848j)
x = tf.constant(1 + 1j) tf.math.exp(x) ==> 1.4686939399158851+2.2873552871788423j
| Args | |
|---|---|
| x | A Tensor. Must be one of the following types:bfloat16,half,float32,float64,complex64,complex128. | 
| name | A name for the operation (optional). | 
| Returns | |
|---|---|
| A Tensor. Has the same type asx. |