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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.

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- Minor inconsistencies between the UI and descriptions.

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Risk Warnings

- Risk Warnings:

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mindsponge.common.vecs_sub

mindsponge.common.vecs_sub(v1, v2)

Subtract two vectors.

$$\begin{array}{r}\begin{array}{rl}& v1=(x1,x2,x3)\\ & v2=(x{1}^{\prime },x{2}^{\prime },x{3}^{\prime })\\ & result=(x1-x{1}^{\prime },x2-x{2}^{\prime },x3-x{3}^{\prime })\end{array}\end{array}$$

Parameters

• v1 (Tuple) – input vector 1 $(x,y,z)$, data type is scalar or Tensor with same shape.

• v2 (Tuple) – input vector 2 $(x,y,z)$, data type is scalar or Tensor with same shape.

Returns

Tuple. Length is 3, $(x^{\prime },y^{\prime },z^{\prime })$ , data type is scalar or Tensor with same shape as v1.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor
>>> from mindspore import dtype as mstype
>>> from mindsponge.common.geometry import vecs_sub
>>> x= Tensor(np.ones(256), mstype.float32)
>>> y= Tensor(np.ones(256), mstype.float32)
>>> z= Tensor(np.ones(256), mstype.float32)
>>> result=vecs_sub((x,y,z),(x,y,z))
>>> print(len(result))
>>> print(result[0].shape)
>>> print(result[1].shape)
>>> print(result[2].shape)
3
(256,)
(256,)
(256,)