Versioned name: BiasAddBackprop-1

Category: Arithmetic

Short description: Computes the gradients on the “bias” tensor for add bias operator.

Detailed description:

This op accumulates all the values from output_delta into the channel dimension, the axis depends on the layout of input tensor.


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

    • Type: T


  • data_format

    • Description: data_format denotes the data format of the input.

    • Range of values: NXC or NCX (X means HW for 2D, DHW for 3D)

    • Type: string

    • Default value: NXC

    • Required: no


  • 1: bias_delta - gradient tensor with respect to bias.

    • 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.