mindspore.ops.BesselK0
- class mindspore.ops.BesselK0[source]
Computes modified Bessel function of the second kind, order 0 element-wise.
The formula is defined as:
\[\begin{split}\begin{array}{ll} \\ K_{0}(x)= \lim_{\nu \to 0} \left(\frac{\pi}{2}\right) \frac {I_{-\nu}(x)-I_{\nu}(x)}{\sin (\nu \pi)} = \int_{0}^{\infty} e^{-x \cosh t} d t \end{array}\end{split}\]where \(I_{0}\) is modified Bessel function of the first kind, order 0.
Warning
This is an experimental API that is subject to change or deletion.
- Inputs:
x (Tensor) - The input tensor. Data type must be float16, float32, float64.
- Outputs:
Tensor, has the same shape as x.
- Raises
TypeError – If x is not a Tensor of float16, float32, float64.
- Supported Platforms:
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, ops >>> bessel_k0 = ops.BesselK0() >>> x = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32) >>> output = bessel_k0(x) >>> print(output) [1.579826 0.5402144 1.3424659 2.5310173]