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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.

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Problem description

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

mindspore.ops.angle

View Source On Gitee
mindspore.ops.angle(input)[source]

Returns the element-wise argument of a complex tensor. The elements in input are considered to be complex numbers of the form a+bj, where a is the real part and b is the imaginary part. The argument returned by this function is of the form atan2(b,a).

Parameters

input (Tensor) – The input tensor. types: complex64, complex128.

Returns

Tensor, has the float32 or float64 type and the same shape as input.

Raises
  • TypeError – If input is not a Tensor.

  • TypeError – If the dtype of input is not one of: complex64, complex128.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, ops
>>> input = Tensor([-1.5 + 7.8j, 3 + 5.75j], mindspore.complex64)
>>> output = ops.angle(input)
>>> print(output)
[1.7607845 1.0899091]