mindspore.Tensor.cauchy

Tensor.cauchy(median=0.0, sigma=1.0)[source]

Fills the tensor with numbers drawn from the Cauchy distribution. It is defined as follows:

\[f(x)= \frac{1}{\pi} \frac{\sigma}{(x-median)^2 +\sigma^2}\]

Warning

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

Parameters

median (float, optional) – the location parameter, specifying the location of the peak of the distribution. Default: 0.0.
sigma (float, optional) – the scale parameter which specifies the half-width at half-maximum. Default: 1.0.

Returns

Tensor. A Tensor with the same type and shape of input.

Supported Platforms:: Ascend CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> x = mindspore.Tensor(np.zeros((1, 2)), dtype=mindspore.float32)
>>> x.cauchy()
Tensor(shape=[1, 2], dtype=Float32, value=
[[8.79836142e-01, 9.37541723e-01]])