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.UniformInt

class mindspore.ops.UniformInt(seed=0, seed2=0)

Produces random integer values i, uniformly distributed on the closed interval [minval, maxval), that is, distributed according to the discrete probability function:

$$\text{P}(i|a,b)=\frac{1}{b-a+1},$$

where the $a$ indicates the min distribution parameter, the $b$ indicates the max distribution parameter.

Note

The number in tensor minval must be strictly less than maxval at any position after broadcasting.

Parameters

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

• seed2 (int) – Random seed2, must be non-negative. A second seed to avoid seed collision. Default: 0.

Inputs:

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

• minval (Tensor) - The distribution parameter, a. It defines the minimum possibly generated value, with int32 data type. Only one number is supported.

• maxval (Tensor) - The distribution parameter, b. It defines the maximum possibly generated value, with int32 data type. Only one number is supported.

Outputs:

Tensor. The shape is the same as the input ‘shape’, and the data type is int32.

Raises

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

• TypeError – If shape is not a tuple.

• TypeError – If neither minval nor maxval is a Tensor.

• ValueError – If shape is not a constant value.

Supported Platforms:

Ascend GPU CPU

Examples

>>> shape = (2, 4)
>>> minval = Tensor(1, mstype.int32)
>>> maxval = Tensor(5, mstype.int32)
>>> uniform_int = ops.UniformInt(seed=10)
>>> output = uniform_int(shape, minval, maxval)
>>> result = output.shape
>>> print(result)
(2, 4)