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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.

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

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- Incorrect code.

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- Wrong screenshots.

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Risk Warnings

- Risk Warnings:

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

Content Compliance

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

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mindsponge.common.vecs_expand_dims

mindsponge.common.vecs_expand_dims(v, axis)

Add an extra dimension to the input v at the given axis.

Parameters

• v (Tuple) – Input vector. Length is 3, $(xx,xy,xz)$ .

• axis (int) – Specifies the dimension index at which to expand the shape of v. Only constant value is allowed.

Returns

Tuple, if the axis is 0, and the shape of $xx$ is $(...,X_R)$, where X_R is any number. The expanded shape is $(1,...,X_R)$. If the axis is other value, then expand in the other direction. And return expanded $(xx,xy,xz,yx,yy,yz,zx,zy,zz)$ .

Supported Platforms:

Ascend GPU

Examples

>>> from mindsponge.common.geometry import vecs_expand_dims
>>> from mindspore.common import Tensor
>>> from mindspore import dtype as mstype
>>> v = (1, 2, 3)
>>> axis = 0
>>> output= vecs_expand_dims(v, axis)
>>> print(output)
(Tensor(shape=[1], dtype=Int64, value=[1]),Tensor(shape=[1], dtype=Int64, value=[2]),
 Tensor(shape=[1], dtype=Int64, value=[3]))