AvgPoolBackward¶

General¶

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

Attribute Name	De
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.	string	`NCX` , `NXC` (default)	Optional

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

Index	Argu
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	Argu
0	`diff_src`	Required

AvgPoolBackward operation supports the following data type combinations.

AvgPool BatchNormForwardTraining