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ConvTransposeBackwardData

General

ConvTransposeBackwardData operation takes $\mathrm{diff}\mathrm{\_}\mathrm{dst}$ and $\mathrm{weights}$ and computes $\mathrm{diff}\mathrm{\_}\mathrm{src}$.

Operation attributes

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	OIX , XIO (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	diff_dst	Required
1	weights	Required

Note

The shape of $\mathrm{weights}$ is $(in\mathrm{\_}channels/groups,out\mathrm{\_}channels,spatial\mathrm{\_}shape)$ for IOX format or $(spatial\mathrm{\_}shape,out\mathrm{\_}channels,in\mathrm{\_}channels/groups)$ for XOI format. Both $in\mathrm{\_}channels$ and $out\mathrm{\_}channels$ must be divisible by groups attribute.

Outputs

Index	Argument Name	Required or Optional
0	diff_src	Required

Supported data types

ConvTransposeBackwardData operation supports the following data type combinations.

Diff_dst	Weights	Diff_src
f32	f32	f32
bf16	bf16	bf16
f16	f16	f16

ConvTranspose ConvTransposeBackwardWeights