hannah-saber

`class bayesianConv(nn.Module): def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=1, dilation=1, bias=True, n=1024, **kwargs): super(bayesianConv, self).__init__(**kwargs) self.in_channels = in_channels self.out_channels = out_channels self.kernel_size = kernel_size self.stride = stride self.padding = padding...