Class ov::op::v1::DeformableConvolution#

class DeformableConvolution : public ov::op::util::DeformableConvolutionBase#

DeformableConvolution operation.

Public Functions

DeformableConvolution() = default#

Constructs a conversion operation.

DeformableConvolution(const Output<Node> &arg, const Output<Node> &offsets, const Output<Node> &filters, const Strides &strides, const CoordinateDiff &pads_begin, const CoordinateDiff &pads_end, const Strides &dilations, const PadType &auto_pad = PadType::EXPLICIT, const int64_t group = 1, const int64_t deformable_group = 1)#

Constructs a conversion operation.

  • argNode that produces the input tensor.

  • offsetsNode producing the deformable values tensor.

  • filtersNode producing the filters(kernels) tensor with OIZYX layout.

  • stridesConvolution strides.

  • pads_begin – Amount of padding to be added to the beginning along each axis. For example in case of a 2D input the value of (1, 2) means that 1 element will be added to the top and 2 elements to the left.

  • pads_end – Amount of padding to be added to the end along each axis.

  • dilations – The distance in width and height between the weights in the filters tensor.

  • auto_pad – Specifies how the automatic calculation of padding should be done.

  • 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.

virtual void validate_and_infer_types() override#

Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.

Throws if the node is invalid.