**Versioned name**: *DeformableConvolution-1*

**Category**: Convolution

**Detailed description**: Reference

**Attributes**

*strides***Description**:*strides*is a distance (in pixels) to slide the filter on the feature map over the (z, y, x) axes for 3D convolutions and (y, x) axes for 2D convolutions. For example,*strides*equal*4,2,1*means sliding the filter 4 pixel at a time over depth dimension, 2 over height dimension and 1 over width dimension.**Range of values**: integer values starting from 0**Type**: int[]**Default value**: None**Required**:*yes*

*pads_begin***Description**:*pads_begin*is a number of pixels to add to the beginning along each axis. For example,*pads_begin*equal*1,2*means adding 1 pixel to the top of the input and 2 to the left of the input.**Range of values**: integer values starting from 0**Type**: int[]**Default value**: None**Required**:*yes***Note**: the attribute is ignored when*auto_pad*attribute is specified.

*pads_end***Description**:*pads_end*is a number of pixels to add to the ending along each axis. For example,*pads_end*equal*1,2*means adding 1 pixel to the bottom of the input and 2 to the right of the input.**Range of values**: integer values starting from 0**Type**: int[]**Default value**: None**Required**:*yes***Note**: the attribute is ignored when*auto_pad*attribute is specified.

*dilations***Description**:*dilations*denotes the distance in width and height between elements (weights) in the filter. For example,*dilation*equal*1,1*means that all the elements in the filter are neighbors, so it is the same as for the usual convolution.*dilation*equal*2,2*means that all the elements in the filter are matched not to adjacent elements in the input matrix, but to those that are adjacent with distance 1.**Range of values**: integer value starting from 0**Type**: int[]**Default value**: None**Required**:*yes*

*auto_pad***Description**:*auto_pad*how the padding is calculated. Possible values:- None (not specified): use explicit padding values.
*same_upper (same_lower)*the input is padded to match the output size. In case of odd padding value an extra padding is added at the end (at the beginning).*valid*- do not use padding.

**Type**: string**Default value**: None**Required**:*no***Note**:*pads_begin*and*pads_end*attributes are ignored when*auto_pad*is specified.

*group***Description**:*group*is the number of groups which*output*and*input*should be split into. For example,*group*equal to 1 means that all filters are applied to the whole input (usual convolution),*group*equal to 2 means that both*input*and*output*channels are separated into two groups and the*i-th output*group is connected to the*i-th input*group channel.*group*equal to a number of output feature maps implies depth-wise separable convolution.**Range of values**: integer value starting from 1**Type**: int**Default value**: 1**Required**:*no*

*deformable_group***Description**:*deformable_group*is the number of groups which deformable values and*output*should be split into along the channel axis. Apply the deformable convolution using the i-th part of the offset part on the i-th out.**Range of values**: integer value starting from 1**Type**: int**Default value**: 1**Required**:*no*

**Inputs**:

**1**: Input tensor of rank 3 or greater. Required.**2**: Deformable values tensor of rank 3 or higher. Required.**3**: Convolution kernel tensor. Weights layout is OIYX (OIZYX for 3D convolution), which means that*X*is changing the fastest, then*Y*, then*Input*then*Output*. The size of kernel is derived from the shape of this input and not specified by any attribute. Required.

**Example**

<layer ... type="DeformableConvolution" ... >

<data dilations="1,1" pads_begin="2,2" pads_end="3,3" strides="2,2"/>

<input> ... </input>

<output> ... </output>

</layer>