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"""Spatial pooling layers"""
from torch import nn
from . import functional as LF
class SmoothingAvgPooling(nn.Module):
"""Average pooling that smoothens the feature map, keeping its size
:param int kernel_size: Kernel size of given pooling (e.g. 3)
"""
def __init__(self, kernel_size):
super().__init__()
self.kernel_size = kernel_size
def forward(self, x):
return LF.smoothing_avg_pooling(x, kernel_size=self.kernel_size)
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