mindspore.ops.standard_laplace

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mindspore.ops.standard_laplace(shape, seed=None)[source]

Generates random numbers according to the Laplace random number distribution (mean=0, lambda=1). It is defined as:

\[\text{f}(x) = \frac{1}{2}\exp(-|x|)\]

Warning

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

Parameters

  • shape (Union[tuple, Tensor]) – The shape of random tensor to be generated. Only constant value is allowed when the input type is tuple. And the operator supports dynamic shape only when the input type is Tensor.

  • seed (int, optional) – Seed is used as entropy source for Random number engines generating pseudo-random numbers. Default: None .

Returns

Tensor. The shape that the input shape denotes. The dtype is float32.

Raises

  • TypeError – If shape is neither a tuple nor a Tensor.

  • ValueError – If shape is a tuple containing non-positive items.

  • ValueError – If shape is a Tensor, and the rank of the Tensor is not equal to 1.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import ops
>>> shape = (4, 4)
>>> output = ops.standard_laplace(shape)
>>> result = output.shape
>>> print(result)
(4, 4)