Threshold¶

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