openvino.runtime.opset5.convolution

openvino.runtime.opset5.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], auto_pad: str = 'EXPLICIT', name: Optional[str] = None) → openvino._pyopenvino.Node

Return node performing batched convolution operation.

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 zero padding elements to add on each axis below 0 coordinate.

• pads_end – The number of zero padding elements to add on each axis above max coordinate

• dilations – The data batch dilation strides.

• 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 batched convolution operation.