tf.math.exp

TensorFlow 1 version View source on GitHub

Computes exponential of x element-wise. \(y = e^x\).

tf.math.exp(
    x, name=None
)

This function computes the exponential of the input tensor element-wise. i.e. math.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) 
<tf.Tensor: shape=(), dtype=float32, numpy=7.389056> 
x = tf.constant([2.0, 8.0]) 
tf.math.exp(x) 
<tf.Tensor: shape=(2,), dtype=float32, 
numpy=array([   7.389056, 2980.958   ], dtype=float32)> 

For complex numbers, the exponential value is calculated as \(e^{x+iy}={e^x}{e^{iy} }={e^x}{\\cos(y)+i\\sin(y)}\)

For 1+1j the value would be computed as: \(e^1{\\cos(1)+i\\sin(1)} = 2.7182817 \\times (0.5403023+0.84147096j)\)

x = tf.constant(1 + 1j) 
tf.math.exp(x) 
<tf.Tensor: shape=(), dtype=complex128, 
numpy=(1.4686939399158851+2.2873552871788423j)> 

Args:

  • x: A tf.Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex128.
  • name: A name for the operation (optional).

Returns:

A tf.Tensor. Has the same type as x.

Numpy Compatibility

Equivalent to np.exp