Intel® oneAPI Deep Neural Network Developer Guide and Reference
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MaxPoolBackward
General
AvgPoolBackward operation accepts tensor and
tensor, and calculates
tensor.
Operation attributes
Attribute Name |
Description |
Value Type |
Supported Values |
Required or Optional |
---|---|---|---|---|
Controls the strides the window is moved. |
s64 |
A s64 list containing positive values |
Required |
|
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 |
|
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 |
|
Size of pooling window |
s64 |
A s64 list containing positive values |
Required |
|
Controls how the paddings are calculated. |
string |
none (default), same_upper , same_lower , valid |
Optional |
|
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 |
|
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 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 |