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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindsponge.common.rots_scale

mindsponge.common.rots_scale(rot, scale)

Scaling of rotation matrixs.

$$\begin{array}{r}\begin{array}{rl}& rot=(xx,xy,xz,yx,yy,yz,zx,zy,zz)\\ & scaled\mathrm{\_}rots=(scale\ast xx,scale\ast xy,scale\ast xz,scale\ast yx,scale\ast yy,scale\ast yz,scale\ast zx,scale\ast zy,scale\ast zz)\end{array}\end{array}$$

Parameters

• rot (Tuple) – Rots, length is 9, $(xx,xy,xz,yx,yy,yz,zx,zy,zz)$ . Data type is scalar or Tensor with the same shape.

• scale (float) – Value of scale.

Returns

Tuple, scaled rotation matrixs. Length is 9, shape is the same as the input rots' shape.

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 rots_scale
>>> x = Tensor(np.ones(256), mstype.float32)
>>> result = rots_scale((x, x, x, x, x, x, x, x, x),10)
>>> print(len(result))
>>> print(result[0].shape)
>>> print(result[1].shape)
>>> print(result[2].shape)
>>> print(result[3].shape)
>>> print(result[4].shape)
>>> print(result[5].shape)
>>> print(result[6].shape)
>>> print(result[7].shape)
>>> print(result[8].shape)
3
(256,)
(256,)
(256,)
(256,)
(256,)
(256,)
(256,)
(256,)
(256,)