Threshold
class torch.nn.Threshold(threshold, value, inplace=False)
Thresholds each element of the input Tensor.
Threshold is defined as:
  y = \begin{cases} x, &\text{ if } x > \text{threshold} \\
  \text{value}, &\text{ otherwise } \end{cases}

Parameters:
      * threshold (float) -- The value to threshold at
  * **value** (*float*) -- The value to replace with

  * **inplace** (*bool*) -- can optionally do the operation in-
    place. Default: "False"

Shape:
      * Input: (*), where * means any number of dimensions.
  * Output: (*), same shape as the input.

Examples:
  >>> m = nn.Threshold(0.1, 20)
  >>> input = torch.randn(2)
  >>> output = m(input)
