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Specifications and Common Mistakes

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mindflow.cell.InputScale

class mindflow.cell.InputScale(input_scale, input_center=None)

Scale the input value to specified region based on $(x_i-input\mathrm{\_}center)\ast input\mathrm{\_}scale$

Parameters

• input_scale (list) – The scale factor of input.

• input_center (Union[list, None]) – Position offset of coordinate translation. Default: None.

Inputs:

• input (Tensor) - Tensor of shape $(\ast ,channels)$.

Outputs:

Tensor of shape $(\ast ,channels)$.

Raises

• TypeError – If input_scale is not a list.

• TypeError – If input_center is not a list or None.

Supported Platforms:

Ascend GPU

Examples

>>> import numpy as np
>>> from mindflow.cell import InputScale
>>> from mindspore import Tensor
>>> inputs = np.random.uniform(size=(16, 3)) + 3.0
>>> inputs = Tensor(inputs.astype(np.float32))
>>> input_scale = [1.0, 2.0, 4.0]
>>> input_center = [3.5, 3.5, 3.5]
>>> net = InputScale(input_scale, input_center)
>>> output = net(inputs).asnumpy()
>>> assert np.all(output[:, 0] <= 0.5) and np.all(output[:, 0] >= -0.5)
>>> assert np.all(output[:, 1] <= 1.0) and np.all(output[:, 0] >= -1.0)
>>> assert np.all(output[:, 2] <= 2.0) and np.all(output[:, 0] >= -2.0)