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def conv3x3(in_channels, out_channels, **kwargs):
return MetaSequential(
MetaConv2d(in_channels, out_channels, kernel_size=3, padding=1, **kwargs),
MetaBatchNorm2d(out_channels, momentum=1., track_running_stats=False),
nn.ReLU(),
nn.MaxPool2d(2)
)