Versioned name: SigmoidBackprop-1

Category: Activation

Short description: SigmoidBackprop computes gradient for Sigmoid


  • use_dst

    • Description: If true, use dst to calculate gradient, else use src.

    • Range of values: True or False

    • Type: bool

    • Default value: True

    • Required: no


  • 1: result_forward/ input_forward - if use_dst is true, result_forward is used, else input_forward is used. Required.

    • Type: T

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

    • Type: T


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

    • 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.