API

 torch / nn / torch.nn


Threshold

class torch.nn.Threshold(threshold: float, value: float, inplace: bool = False)[source]

Thresholds each element of the input Tensor.

Threshold is defined as:

y={x, if x>thresholdvalue, otherwise y = \begin{cases} x, &\text{ if } x > \text{threshold} \\ \text{value}, &\text{ otherwise } \end{cases}
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: (N,)(N, *) where * means, any number of additional dimensions

  • Output: (N,)(N, *) , same shape as the input

Examples:

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

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