openvino.runtime.opset14.avg_pool

openvino.runtime.opset14.avg_pool(data_batch: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], strides: List[int], pads_begin: List[int], pads_end: List[int], kernel_shape: List[int], exclude_pad: bool, rounding_type: str = 'floor', auto_pad: Optional[str] = None, name: Optional[str] = None) → openvino._pyopenvino.Node

Return average pooling node.

Parameters

• data_batch – The input node providing data.

• strides – The window movement strides.

• pads_begin – The input data optional padding below filled with zeros.

• pads_end – The input data optional padding below filled with zeros.

• kernel_shape – The pooling window shape.

• exclude_pad – Whether or not to include zero padding in average computations.

• rounding_type – Determines used rounding schema when computing output shape. Acceptable values are: [‘floor’, ‘ceil’]

• auto_pad – Determines how the padding is calculated. Acceptable values: [None, ‘same_upper’, ‘same_lower’, ‘valid’]

• name – Optional name for the new output node.

Returns

New node with AvgPool operation applied on its data.