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mindspore.nn.Threshold

class mindspore.nn.Threshold(threshold, value)

Thresholds each element of the input Tensor.

The formula is defined as follows:

$$\begin{array}{r}y=\{\begin{array}{ll}x,& \text{ if }x>\text{threshold}\\ \text{value},& \text{ otherwise }\end{array}\end{array}$$

Parameters

• threshold (Union[int, float]) – The value to threshold at.

• value (Union[int, float]) – The value to replace with when element is less than threshold.

Inputs:

• input_x (Tensor) - The input of Threshold with data type of float16 or float32.

Outputs:

Tensor, the same shape and data type as the input_x.

Raises

• TypeError – If threshold is not a float or an int.

• TypeError – If value is not a float or an int.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, nn
>>> m = nn.Threshold(0.1, 20)
>>> inputs = Tensor([0.1, 0.2, 0.3], mindspore.float32)
>>> outputs = m(inputs)
>>> print(outputs)
[ 20.0     0.2      0.3]