Threshold

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

Thresholds each element of the input Tensor.

Threshold is defined as:

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

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: $(N, *)$ where * means, any number of additional dimensions
• Output: $(N, *)$ , same shape as the input

Examples:

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