ConvTransposeBackwardData

Intel® oneAPI Deep Neural Network Developer Guide and Reference

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ID 768875

Date 12/16/2022

Version

Public

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ConvTransposeBackwardData operation takes and and computes .

Attribute Name	Description	Value Type	Supported Values	Required or Optional
strides	Controls the strides the weights tensor is moved when computing convolution.	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.	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.	s64	A s64 list containing non-negative values	Required
dilations	Controls the amount of stretching the kernel before convolution ( visualization link ).	s64	A s64 list containing positive values (>1 means dilated convolution)	Required
auto_pad	Controls how the padding is calculated.	string	`none` (default), `same_upper` , `same_lower` , `valid`	Optional
output_padding	Adds additional amount of padding per each spatial axis in `dst` .	s64	A s64 list containing non-negative values, all zeros by default	Optional
groups	Controls how input channels and output channels are divided into.	s64	A positive s64 value, `1` by default	Optional
data_format	Controls how to interpret the shape of `src` and `dst` .	string	`NCX` , `NXC` (default)	Optional
weights_format	Controls how to interpret the shape of `weights` .	string	`IOX` , `XOI` (default)	Optional

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

NOTE:

The shape of

for IOX format or

for XOI format. Both

and

must be divisible by groups attribute.

Outputs

Index	Argument Name	Required or Optional
0	`diff_src`	Required

ConvTransposeBackwardData operation supports the following data type combinations.

Diff_dst	Weights	Diff_src
f32	f32	f32
bf16	bf16	bf16

f16 | f16 | f16 |f16