AvgPoolBackward¶

General¶

AvgPoolBackward operation accepts \(\diffdst\) tensor and \(\srcshape\) tensor (optional), 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
exclude_pad	Controls whether the padded values are counted.	bool	True, False	Required
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
src_shape	Denotes the shape of input of forward op.	s64	A s64 list containing positive values.	Optional

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

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

Note

Either src_shape input or src_shape attribute should be provided. If both provided, src_shape input will precede over src_shape attribute.

Index	Argument Name	Required or Optional
0	`diff_src`	Required

AvgPoolBackward operation supports the following data type combinations.

AvgPool BatchNormForwardTraining