change feature size based on 256x256 input
This commit is contained in:
@@ -26,10 +26,11 @@ class ViewEncoder(nn.Module):
|
||||
x = self.act1(x)
|
||||
x = self.lin2(x)
|
||||
x = self.act2(x)
|
||||
x = torch.ones((x.shape[0], self.features, 15, 20), device=x.get_device()) * x[:,:,None,None]
|
||||
x = torch.ones((x.shape[0], self.features, 8, 8), device=x.get_device()) * x[:,:,None,None]
|
||||
|
||||
return x
|
||||
|
||||
|
||||
from torchvision.ops.misc import Conv2dNormActivation, Permute
|
||||
|
||||
class DumbReconstructor(nn.Module):
|
||||
|
||||
Reference in New Issue
Block a user