tf.math.special.expint
Computes the Exponential integral of x
element-wise.
tf.math.special.expint( x, name=None )
The Exponential integral is defined as the integral of exp(t) / t
from -inf
to x
, with the domain of definition all positive real numbers.
tf.math.special.expint([1., 1.1, 2.1, 4.1]).numpy() array([ 1.8951179, 2.1673784, 5.3332353, 21.048464], dtype=float32)
This implementation is based off of the Cephes math library.
Args | |
---|---|
x | A Tensor or SparseTensor . Must be one of the following types: float32 , float64 . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor or SparseTensor , respectively. Has the same type as x . |
Scipy Compatibility
Equivalent to scipy.special.expi
© 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/r2.4/api_docs/python/tf/math/special/expint