openvino.runtime.opset13.binary_convolution

openvino.runtime.opset13.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.

Parameters

• 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.

Returns

New node performing binary convolution operation.