Clamp

Versioned name: Clamp-1

Category: Activation

Short description: Clamp operation represents clipping activation function.

OpenVINO description: This OP is as same as OpenVINO OP

Attributes:

• min

  • Description: min is the lower bound of values in the output. Any value in the input that is smaller than the bound, is replaced with the min value. For example, min equal 10 means that any value in the input that is smaller than the bound, is replaced by 10.

  • Range of values: arbitrary valid f32 value

  • Type: f32

  • Required: yes

• max

  • Description: max is the upper bound of values in the output. Any value in the input that is greater than the bound, is replaced with the max value. For example, max equals 50 means that any value in the input that is greater than the bound, is replaced by 50.

  • Range of values: arbitrary valid f32 value

  • Type: f32

  • Required: yes

Inputs:

• 1: input - multidimensional input tensor. Required.

  • Type: T

Outputs

• 1: output - multidimensional output tensor with shape and type matching the input tensor. Required.

  • Type: T

Types:

• T: f32, f16, bf16.

• Note: Inputs and outputs have the same data type denoted by T. For example, if input is f32 tensor, then all other tensors have f32 data type.

Detailed description:

Clamp does the following with the input tensor element-wise:

\[clamp( x_i )=min(max(x_i,min\_value),max\_value)\]