Versioned name: SoftPlusBackprop-1

Category: Activation

Short description: SoftPlusBackprop computes gradient for SoftPlus


  • beta

    • Description: beta is value for the Softplus formulation.

    • Range of values: a s64 value

    • Type: s64

    • Default value: 1

    • Required: no


  • 1: input_forward - original input tensor of SoftPlus op. Required.

    • Type: T

  • 2: output_delta - the gradient tensor with respect to the output. Required.

    • Type: T


  • 1: input_delta - the gradient tensor with respect to the input of SoftPlus.

    • Type: T


  • 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.