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williamyang1991 avatar williamyang1991 commented on May 29, 2024

class GlyphGenerator(nn.Module):
def init(self, ngf=32, n_layers = 5):
super(GlyphGenerator, self).init()

    encoder = []
    encoder.append(ReplicationPad2d(padding=4))
    encoder.append(Conv2d(out_channels=ngf, kernel_size=9, padding=0, in_channels=3))
    encoder.append(LeakyReLU(0.2))
    encoder.append(myGConv(ngf*2, 2, ngf))
    encoder.append(myGConv(ngf*4, 2, ngf*2))

    transformer = []
    print(n_layers/2-1)
    for n in range(n_layers/2-1):
        transformer.append(myGCombineBlock(ngf*4,p=0.0))
    # dropout to make model more robust    
    transformer.append(myGCombineBlock(ngf*4,p=0.5))
    transformer.append(myGCombineBlock(ngf*4,p=0.5))
    for n in range(n_layers/2+1,n_layers):
        transformer.append(myGCombineBlock(ngf*4,p=0.0))  

some float in range() are encontered

Thank you for pointing out the bug :)
It has been fixed.

from shapematchinggan.

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