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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

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mindspore.ops.laplace

mindspore.ops.laplace(shape, mean, lambda_param, seed=None)

Generates random numbers according to the Laplace random number distribution.

Support broadcasting.

$$\text{f}(x;\mu ,\lambda )=\frac{1}{2\lambda }\exp (-\frac{|x-\mu |}{\lambda }),$$

Warning

The Ascend backend does not support the reproducibility of random numbers, so the seed parameter has no effect.

Parameters

• shape (tuple) – The shape specified.

• mean (Tensor) – The mean of distribution.

• lambda_param (Tensor) – Control the variance of distribution. The variance of Laplace distribution is equal to twice the square of lambda_param .

• seed (int, optional) – Random seed. Default None represents 0.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> shape = (2, 3)
>>> mean = mindspore.tensor(1.0, mindspore.float32)
>>> lambda_param = mindspore.tensor(1.0, mindspore.float32)
>>> output = mindspore.ops.laplace(shape, mean, lambda_param, seed=5)
>>> print(output.shape)
(2, 3)