ncdl.nn.Threshold

class ncdl.nn.Threshold(*args: Any, **kwargs: Any)

Thresholds each element of the input Lattice Tensor.

Threshold is defined as:

\[\begin{split}y = \begin{cases} x, &\text{ if } x > \text{threshold} \\ \text{value}, &\text{ otherwise } \end{cases}\end{split}\]
Parameters:
  • threshold – The value to threshold at

  • value – The value to replace with

  • inplace – 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)
__init__(threshold: float, value: float, inplace: bool = False) None

Methods

__init__(threshold, value[, inplace])

extra_repr()

forward(input)

Attributes

threshold

value

inplace