openvino.runtime.opset7.binary_convolution(data: 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], mode: str, pad_value: float, auto_pad: str = 'EXPLICIT', name: Optional[str] = None) openvino._pyopenvino.Node

Create node performing convolution with binary weights, binary input and integer output.

  • data – The node providing data batch tensor.

  • filter – The node providing filters tensor.

  • strides – The kernel window movement strides.

  • 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.

  • mode – Defines how input tensor 0/1 values and weights 0/1 are interpreted.

  • pad_value – Floating-point value used to fill pad area.

  • auto_pad – The type of padding. Range of values: explicit, same_upper, same_lower, valid.

  • name – The optional new name for output node.


New node performing binary convolution operation.