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

The inputs and outputs must be provided according to the 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.