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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 | |
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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 | |
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A tf.Tensor . Has the same type as x . |
Equivalent to np.exp
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/math/exp