openvino.runtime.opset11.deformable_convolution¶
- openvino.runtime.opset11.deformable_convolution(data: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], offsets: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], filters: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], strides: List[int], pads_begin: List[int], pads_end: List[int], dilations: List[int], mask: Optional[Union[openvino._pyopenvino.Node, int, float, numpy.ndarray]] = None, auto_pad: str = 'EXPLICIT', group: int = 1, deformable_group: int = 1, bilinear_interpolation_pad: bool = False, name: Optional[str] = None) openvino._pyopenvino.Node ¶
Return a node which performs deformable convolution operation.
- Parameters
data – The node providing data batch tensor.
offsets – The node providing offset tensor.
filters – 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.
mask – The node providing modulation scalar (mask) tensor.
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.
bilinear_interpolation_pad – The flag that determines the mode of bilinear interpolation execution.
name – The optional new name for output node.
- Returns
New node performing deformable convolution operation.