# BatchNormTrainingBackward¶

## General¶

BatchNormTrainingBackward operation calculated the gradients of input tensors.

## Operation attributes¶

Attribute Name

De

epsilon

A number to be added to the variance to avoid division by zero.

f32

A positive f32 value

Required

data_format

Controls how to interpret the shape of src and dst .

string

NCX , NXC (default)

Optional

## Execution arguments¶

The inputs and outputs must be provided according to below index order when constructing an operation.

### Inputs¶

Index

Argu

0

src

Required

1

diff_dst

Required

2

mean

Required

3

variance

Required

4

gamma ( $$\sigma^2$$ )

Optional

### Outputs¶

Index

Argu

0

diff_src

Required

1

diff_gamma

Optional

2

diff_beta

Optional

Note

diff_gamma and diff_beta should be either both provided or neither provided. If neither provided, the input gamma will be ignored.

## Supported data types¶

BatchNormTrainingBackward operation supports the following data type combinations.

Src /

f32

f32

bf16

f32, bf16

f16

f32