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mindspore.Tensor.cauchy

Tensor.cauchy(median=0.0, sigma=1.0)

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]])