openvino.runtime.opset5.binary_convolution#
- openvino.runtime.opset5.binary_convolution(data: Node | int | float | ndarray, filters: Node | int | float | 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: str | None = None) 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.