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Made CGNet scriptable #197

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Made CGNet scriptable #197

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b47941e
Made CGNet scriptable
nassir90 Jun 12, 2022
7146474
Fixed typo
nassir90 Jun 12, 2022
40d2a1a
Replaced fta with core
nassir90 Jun 12, 2022
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22 changes: 9 additions & 13 deletions core/models/cgnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,27 +72,22 @@ def forward(self, x):
# stage 2
out0_cat = self.bn_prelu1(torch.cat([out0, inp1], dim=1))
out1_0 = self.stage2_0(out0_cat)
for i, layer in enumerate(self.stage2):
if i == 0:
out1 = layer(out1_0)
else:
out1 = layer(out1)
out1 = out1_0
for layer in self.stage2:
out1 = layer(out1)
out1_cat = self.bn_prelu2(torch.cat([out1, out1_0, inp2], dim=1))

# stage 3
out2_0 = self.stage3_0(out1_cat)
for i, layer in enumerate(self.stage3):
if i == 0:
out2 = layer(out2_0)
else:
out2 = layer(out2)
out2 = out2_0
for layer in self.stage3:
out2 = layer(out2)
out2_cat = self.bn_prelu3(torch.cat([out2_0, out2], dim=1))

outputs = []
out = self.head(out2_cat)
out = F.interpolate(out, size, mode='bilinear', align_corners=True)
outputs.append(out)
return tuple(outputs)

return (out,)


class _ChannelWiseConv(nn.Module):
Expand Down Expand Up @@ -158,6 +153,7 @@ def __init__(self, in_channels, out_channels, dilation=2, reduction=16, down=Fal
self.reduce = nn.Conv2d(inter_channels * 2, out_channels, 1, bias=False)
else:
self.conv = _ConvBNPReLU(in_channels, inter_channels, 1, 1, 0, norm_layer=norm_layer, **kwargs)
self.reduce = nn.Identity()
self.f_loc = _ChannelWiseConv(inter_channels, inter_channels, **kwargs)
self.f_sur = _ChannelWiseConv(inter_channels, inter_channels, dilation, **kwargs)
self.bn = norm_layer(inter_channels * 2)
Expand Down