# tf.math.exp

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| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/math/exp) |

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

#### View aliases


**Main aliases**

[`tf.exp`](https://www.tensorflow.org/api_docs/python/tf/math/exp)
**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.exp`](https://www.tensorflow.org/api_docs/python/tf/math/exp), [`tf.compat.v1.math.exp`](https://www.tensorflow.org/api_docs/python/tf/math/exp)

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    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

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

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| ## Returns ||
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| A `Tensor`. Has the same type as `x`. ||

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