MaxPoolBackward¶

General¶

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

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
auto_pad	Controls how the paddings are calculated.	string	`none` (default), `same_upper` , `same_lower` , `valid`	Optional
dilations	Denotes the distance in width and height between elements in the window.	s64	A s64 list containing positive values, a list of `1` s (default) means no dilation	Optional
data_format	Controls how to interpret the shape of `src` and `dst` .	string	`NCX` , `NXC` (default)	Optional

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

Index	Argument Name	Required or Optional
0	`src`	Required
1	`diff_dst`	Required

Index	Argument Name	Required or Optional
0	`diff_src`	Required

MaxPoolBackward operation supports the following data type combinations.

MaxPool Minimum