MaxPoolBackward#

AvgPoolBackward operation accepts src tensor and \(\diffdst\) tensor, and calculates \(\diffsrc\) tensor.

Operation Attributes#

Attribute

Name

Description

Value Type

Supported

Values

Required or

Optional

strides

Controls the strides the window is moved

s64

A s64 list containing positive values

Required

pads_begin

Controls number of zeros to be add to the front/top/left of spatial dimensions, the attribute will be ignored when auto_pad attribute is specified to same_upper, same_lower or valid

s64

A s64 list containing non-negative values

Required

pads_end

Controls number of zeros to be add to the back/bottom/right of spatial dimensions, the attribute will be ignored when auto_pad attribute is specified to same_upper, same_lower or valid

s64

A s64 list containing non-negative values

Required

kernel

Size of pooling window

s64

A s64 list containing positive values

Required

dilations

Denotes the distance in width and height between elements.

s64

A s64 list containing positive values, a list of 1 s (default) means no dilation

Optional

auto_pad

Controls how the paddings are calculated

string

none (default), same_upper, same_lower, valid

Optional

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 the below index order when constructing an operation.

Inputs#

Index

Argument Name

Required or Optional

0

src

Required

1

diff_dst

Required

Outputs#

Index

Argument Name

Required or Optional

0

diff_src

Required

Supported Data Types#

MaxPoolBackward operation supports the following data type combinations.

Src

Diff_dst

Diff_src

f32

f32

f32

bf16

bf16

bf16

f16

f16

f16