openvino/docs/ops/activation/Clamp_1.md

Clamp

@sphinxdirective

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:

.. math::

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

.. code-block:: cpp

256 256

@endsphinxdirective