openvino.runtime.opset5.max_pool

openvino.runtime.opset5.max_pool(data: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], strides: List[int], pads_begin: List[int], pads_end: List[int], kernel_shape: List[int], rounding_type: str = 'floor', auto_pad: Optional[str] = None, name: Optional[str] = None) → openvino._pyopenvino.Node

Perform max pooling operation with given parameters on provided data.

Parameters

• data – The node providing input data.

• strides – The distance (in pixels) to slide the filter on the feature map over the axes.

• pads_begin – The number of pixels to add at the beginning along each axis.

• pads_end – The number of pixels to add at the end along each axis.

• kernel_shape – The pooling operation kernel shape.

• 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 – The optional name for the created output node.

Returns

The new node performing max pooling operation.