Document feedback

Question document fragment

When a question document fragment contains a formula, it is displayed as a space.

Submission type

issue

It's a little complicated...

I'd like to ask someone.

Please select the submission type

Problem type

Specifications and Common Mistakes

- Specifications and Common Mistakes:

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

- Incorrect links, empty cells, or wrong formats.

- Chinese characters in English context.

- Minor inconsistencies between the UI and descriptions.

- Low writing fluency that does not affect understanding.

- Incorrect version numbers, including software package names and version numbers on the UI.

Usability

- Usability:

- Incorrect or missing key steps.

- Missing main function descriptions, keyword explanation, necessary prerequisites, or precautions.

- Ambiguous descriptions, unclear reference, or contradictory context.

- Unclear logic, such as missing classifications, items, and steps.

Correctness

- Correctness:

- Technical principles, function descriptions, supported platforms, parameter types, or exceptions inconsistent with that of software implementation.

- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- Incorrect code.

- Commands inconsistent with the functions.

- Wrong screenshots.

- Sample code running error, or running results inconsistent with the expectation.

Risk Warnings

- Risk Warnings:

- Lack of risk warnings for operations that may damage the system or important data.

Content Compliance

- Content Compliance:

- Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions.

- Copyright infringement.

Please select the type of question

Problem description

Describe the bug so that we can quickly locate the problem.

Submit

Document feedback

mindspore.ops.RandomPoisson

class mindspore.ops.RandomPoisson(seed=0, seed2=0, dtype=mstype.int64)

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

$$\text{P}(i|\mu )=\frac{\exp (-\mu ){\mu }^i}{i!}$$

Parameters

• seed (int, optional) – Random number seed. If either seed or seed2 are set to be non-zero, the seed is set by the given seed. Otherwise, it is seeded by a random seed. Default: 0.

• seed2 (int, optional) – A second seed to avoid seed collision. Default: 0.

• dtype (mindspore.dtype, optional) – The type of output. Default: mstype.int64.

Inputs:

• shape (Tensor) - The shape of random tensor to be generated, 1-D Tensor, whose dtype must be in [int32, int64].

• rate (Tensor) - μ parameter the distribution was constructed with. The parameter defines mean number of occurrences of the event. Its type must be in [float16, float32, float64, int32, int64].

Outputs:

Tensor. Its shape is $(\ast shape,\ast rate.shape)$. Its type is specified by dtype.

Raises

• TypeError – If shape is not a Tensor or its dtype is not int32 or int64.

• TypeError – If dtype is not int32 or int64.

• ValueError – If shape is not a 1-D tensor.

• ValueError – If shape elements are negative.

Supported Platforms:

GPU CPU

Examples

>>> shape = Tensor(np.array([2, 3]), mstype.int32)
>>> rate = Tensor(np.array([2, 2]), mstype.int32)
>>> seed = 0
>>> seed2 = 0
>>> random_poisson = ops.RandomPoisson(seed=seed, seed2=seed2)
>>> output = random_poisson(shape,rate)
>>> print(output.shape)
(2, 3, 2)