Intel® oneAPI Deep Neural Network Developer Guide and Reference
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ConvolutionBackwardData
General
ConvolutionBackwardData operation accepts 
, 
and optional dst shape as inputs, and compute the 
.
If auto_pad attribute is specified to one of valid, same_upper and same_lower, pads_begin and pads_end attributes will be ignored. The paddings will be calculated by following the below formula:
Let the parameters be:
Parameter |
Depth |
Height |
Width |
Comment |
|---|---|---|---|---|
Paddings: Front, top, and left |
|
|
|
In the attributes we use pads_begin to indicate the corresponding vector of paddings |
Padding: Back, bottom, and right |
|
|
|
In the attributes we use pads_end to indicate the corresponding vector of paddings |
Stride |
|
|
|
In the attributes we use strides to indicate the corresponding vector of strides |
Dilation |
|
|
|
In the attributes we use dilations to indicate the corresponding vector of dilations |
Firstly, 
is calculated according to 
and 
. Let 
be height dimension of and 
be height dimension of .
If auto_pad attribute is specified as valid :
If auto_pad attribute is specified as same_lower :
If auto_pad attribute is specified as same_upper :
where:
- is either an attribute or an input tensor,
is an optional attribute.
Operation attributes
Attribute Name |
Description |
Value Type |
Supported Values |
Required or Optional |
|---|---|---|---|---|
Controls the strides the weights tensor is moved when computing convolution |
s64 |
A s64 list containing positive values |
Required |
|
Controls number of zeros to be add to the front/top/left of spatial dimensions |
s64 |
A s64 list containing non-negative values |
Required |
|
Controls number of zeros to be add to the back/bottom/right of spatial dimensions |
s64 |
A s64 list containing non-negative values |
Required |
|
Controls the amount of stretching the kernel before convolution ( visualization link ) |
s64 |
A s64 list containing positive values (>1 means dilated convolution) |
Required |
|
Controls how the padding is calculated |
string |
none (default), same_upper , same_lower , valid |
Optional |
|
Adds additional amount of padding per each spatial axis in dst . |
s64 |
A s64 list containing non-negative values, all zeros by default |
Optional |
|
Controls how input channels and output channels are divided into |
s64 |
A positive s64 value, 1 by default |
Optional |
|
Controls how to interpret the shape of src and dst . |
string |
NCX , NXC (default) |
Optional |
|
Controls how to interpret the shape of weights . |
string |
OIX , XIO (default) |
Optional |
|
Denotes the shape of the dst tensor. |
s64 |
A s64 list containing positive values |
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 |
diff_dst |
Required |
1 |
weights |
Required |
2 |
dst_shape |
Optional |
is
for OIX format or
for XIO format. Both
and
must be divisible by groups attribute.
Outputs
Index |
Argument Name |
Required or Optional |
|---|---|---|
0 |
diff_src |
Required |
Supported data types
ConvolutionBackwardData operation supports the following data type combinations.
Diff_dst |
Weights |
Diff_src |
Dst_shape |
|---|---|---|---|
f32 |
f32 |
f32 |
s32 |
bf16 |
bf16 |
bf16 |
s32 |
f16 |
f16 |
f16 |
s32 |