openvino.runtime.opset4.avg_pool#
- openvino.runtime.opset4.avg_pool(data_batch: Node | int | float | 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: str | None = None, name: str | None = None) 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.