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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.BesselI1

class mindspore.ops.BesselI1

Computes modified Bessel function of the first kind, order 1 element-wise.

The formula is defined as:

$$\begin{array}{r}\begin{array}{l}\\ I_1(x)={\mathrm{i}}^{-1}{J}_1(\mathrm{i}x)=\sum _{m=0}^{\mathrm{\infty }}\frac{x^{2m+1}}{2^{2m+1}m!(m+1)!}\end{array}\end{array}$$

where $J_1$ is Bessel function of the first kind, order 1.

Warning

This is an experimental API that is subject to change or deletion.

Refer to mindspore.ops.bessel_i1() for more details.

Inputs:

• x (Tensor) - The input tensor. Data type must be float16, float32 or float64.

Outputs:

Tensor, has the same shape as x.

Supported Platforms:

GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> bessel_i1 = ops.BesselI1()
>>> x = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32)
>>> output = bessel_i1(x)
>>> print(output)
[0.1208661  0.45177728 0.1568694  0.04504559]