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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

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- Incorrect or missing key steps.

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- 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.

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

Risk Warnings

- Risk Warnings:

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Problem description

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

mindspore.Tensor.cos

Tensor.cos() Tensor

Computes cosine of self element-wise.

outi=cos(selfi)

Warning

Using float64 may cause a problem of missing precision.

Returns

Tensor, has the same shape as the self. The dtype of output is float32 when dtype of self is in [bool, int8, uint8, int16, int32, int64]. Otherwise output has the same dtype as the self.

Raises
  • TypeError – If self is not a Tensor.

  • TypeError

    • CPU/GPU: If dtype of self is not float16, float32 or float64, complex64, complex128.

    • Ascend: If dtype of self is not bool, int8, uint8, int16, int32, int64, float16, float32, float64, complex64, complex128.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> input = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32)
>>> output = input.cos()
>>> print(output)
[0.971338 0.6748758 0.95233357 0.9959527]