Comments (1)
Hi @cambridgeinch,
Yes, the number of blocks is [4,6,6,8]
in the baseline as well; but we set dim=40
, as the regular Convs are heavier. Here is the code snippet for Resblock:
class Resblock(nn.Module):
def __init__(self, dim, bias):
super(Resblock, self).__init__()
self.body = nn.Sequential(nn.Conv2d(dim, dim, kernel_size=3, stride=1, padding=1, bias=False),
nn.LeakyReLU(0.2),
nn.Conv2d(dim, dim, kernel_size=3, stride=1, padding=1, bias=False)
)
def forward(self, x):
x = x + self.body(x)
return x
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