# Hardtanh¶

class torch.nn.Hardtanh(min_val=- 1.0, max_val=1.0, inplace=False, min_value=None, max_value=None)[source]

Applies the HardTanh function element-wise

HardTanh is defined as:

$\text{HardTanh}(x) = \begin{cases} 1 & \text{ if } x > 1 \\ -1 & \text{ if } x < -1 \\ x & \text{ otherwise } \\ \end{cases}$

The range of the linear region $[-1, 1]$ can be adjusted using min_val and max_val.

Parameters
• min_val – minimum value of the linear region range. Default: -1

• max_val – maximum value of the linear region range. Default: 1

• inplace – can optionally do the operation in-place. Default: False

Keyword arguments min_value and max_value have been deprecated in favor of min_val and max_val.

Shape:
• Input: $(*)$, where $*$ means any number of dimensions.

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

Examples:

>>> m = nn.Hardtanh(-2, 2)
>>> input = torch.randn(2)
>>> output = m(input)