mindspore.ops.standard_laplace

mindspore.ops.standard_laplace(shape, seed=0, seed2=0)[source]

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

\[\text{f}(x) = \frac{1}{2}\exp(-|x|),\]
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) – Random seed. Default: 0.

  • seed2 (int) – Random seed2. Default: 0.

Returns

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

Raises

  • TypeError – If seed or seed2 is not an int.

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

  • ValueError – If seed or seed2 is not a non-negative int.

  • 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)