# Clamp¶

Versioned name : Clamp-1

Category : Activation function

Short description : Clamp operation represents clipping activation function.

Detailed description :

Clamp performs clipping operation over the input tensor element-wise. Element values of the output are within the range [min, max].

• Input values that are smaller than min are replaced with min value.

• Input values that are greater than max are replaced with max value.

• Input values within the range [min, max] remain unchanged.

Let min_value and max_value be min and max, respectively. The mathematical formula of Clamp is as follows:

$clamp( x_{i} )=\min\big( \max\left( x_{i},\ min\_value \right),\ max\_value \big)$

Attributes :

• min

• Description : min is the lower bound of values in the output.

• Range of values : arbitrary floating-point number

• Type : float

• Required : yes

• max

• Description : max is the upper bound of values in the output.

• Range of values : arbitrary floating-point number

• Type : float

• Required : yes

Inputs :

• 1 : A tensor of type T and arbitrary shape. Required.

Outputs :

• 1 : A tensor of type T with same shape as input tensor.

Types

• T : any numeric type.

• Note : In case of integral numeric type, ceil is used to convert min from float to T and floor is used to convert max from float to T.

Example

<layer id="1" name="clamp_node" type="Clamp">
<data min="10" max="50" />
<input>
<port id="0">
<dim>256</dim>
</port>
</input>
<output>
<port id="1">
<dim>256</dim>
</port>
</output>
</layer>