AvgPool

AvgPool#

class brainpy.dnn.AvgPool(kernel_size, stride=1, padding='VALID', channel_axis=None, mode=None, name=None)[source]#

Pools the input by taking the average over a window.

Parameters:

kernel_size (Union[int, Sequence[int]]) – An integer, or a sequence of integers defining the window to reduce over.
stride (Union[int, Sequence[int]]) – An integer, or a sequence of integers, representing the inter-window stride (default: (1, …, 1)).
padding (Union[str, Sequence[Tuple[int, int]]]) – Either the string ‘SAME’, the string ‘VALID’, or a sequence of n (low, high) integer pairs that give the padding to apply before and after each spatial dimension.
channel_axis (Optional[int]) – Axis of the spatial channels for which pooling is skipped, used to infer kernel_size or stride if they are an integer.
mode (Mode) – The computation mode.
name (Optional[str]) – The object name.