mindspore.ops.Poisson

class mindspore.ops.Poisson(seed=0, seed2=0)[source]

Produces random non-negative integer values i, distributed according to discrete probability function:

\[\text{P}(i|μ) = \frac{\exp(-μ)μ^{i}}{i!},\]
Parameters

  • seed (int) – Random seed, must be non-negative. Default: 0.

  • seed2 (int) – Random seed2, must be non-negative. Default: 0.

Inputs:

  • shape (tuple) - The shape of random tensor to be generated. Only constant value is allowed.

  • mean (Tensor) - μ parameter the distribution was constructed with. The parameter defines mean number of occurrences of the event. It must be greater than 0. With float32 data type.

Outputs:

Tensor. Its shape must be the broadcasted shape of shape and the shape of mean. The dtype is int32.

Raises

  • TypeError – If neither seed nor seed2 is an int.

  • TypeError – If shape is not a tuple.

  • TypeError – If mean is not a Tensor whose dtype is not float32.

Supported Platforms:

Ascend

Examples

>>> shape = (4, 1)
>>> mean = Tensor(np.array([5.0, 10.0]), mstype.float32)
>>> poisson = ops.Poisson(seed=5)
>>> output = poisson(shape, mean)
>>> result = output.shape
>>> print(result)
(4, 2)