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.sign

mindspore.ops.sign(input)

Returns an element-wise indication of the sign of a number. Notice: When the input is NaN and dtype is float64, the output of this operator is NaN.

$$\begin{array}{r}{\text{out}}_i=\{\begin{array}{ll}-1& {\text{input}}_i<0\\ 0& {\text{input}}_i=0\\ 1& {\text{input}}_i>0\end{array}\end{array}$$

Parameters

input (Tensor) – Input Tensor.

Returns

Tensor, the sign of input.

Raises

TypeError – If input is not a Tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore as ms
>>> import mindspore.ops as ops
>>> input = ms.Tensor([[-1, 0, 2, 4, 6], [2, 3, 5, -6, 0]])
>>> output = ops.sign(input)
>>> print(output)
[[-1  0  1  1  1]
 [ 1  1  1 -1  0]]
>>> ms.set_device(device_target="CPU")
>>> x = ms.Tensor([[-1, 0, float('inf'), 4, float('nan')], [2, 3, float('-inf'), -6, 0]])
>>> output = ops.sign(x)
>>> print(output)
[[-1.  0.  1.  1.  0.]
 [ 1.  1. -1. -1.  0.]]