deformable_convolution(data: Union[_pyngraph.Node, int, float, numpy.ndarray], deformable_values: Union[_pyngraph.Node, int, float, numpy.ndarray], filters: Union[_pyngraph.Node, int, float, numpy.ndarray], strides: List[int], pads_begin: List[int], pads_end: List[int], dilations: List[int], auto_pad: str = 'EXPLICIT', group: int = 1, deformable_group: int = 1, name: Optional[str] = None) → _pyngraph.Node¶
Create node performing deformable convolution.
data – The node providing data batch tensor.
filter – The node providing filters tensor.
strides – The distance (in pixels) to slide the filter on the feature map over the axes.
pads_begin – The number of pixels to add to the beginning along each axis.
pads_end – The number of pixels to add to the end along each axis.
dilations – The distance in width and height between elements (weights) in the filter.
auto_pad – The type of padding. Range of values: explicit, same_upper, same_lower, valid.
group – The number of groups which both output and input should be split into.
deformable_group – The number of groups which deformable values and output should be split into along the channel axis.
name – The optional new name for output node.
New node performing deformable convolution operation.