tf.math.expm1
Computes exp(x) - 1 element-wise.
tf.math.expm1(
x, name=None
)
i.e. exp(x) - 1 or e^(x) - 1, where x is the input tensor. e denotes Euler's number and is approximately equal to 2.718281.
x = tf.constant(2.0)
tf.math.expm1(x) ==> 6.389056
x = tf.constant([2.0, 8.0])
tf.math.expm1(x) ==> array([6.389056, 2979.958], dtype=float32)
x = tf.constant(1 + 1j)
tf.math.expm1(x) ==> (0.46869393991588515+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 as x. |
© 2020 The TensorFlow Authors. All rights reserved.
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/expm1