Skip to content

Update encoders.py #83

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
soltanianaref wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Update encoders.py #83

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 16 additions & 1 deletion steganogan/encoders.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,17 @@

import torch
from torch import nn
import torch.onnx
from torchvision.ops.deform_conv import DeformConv2d

#input = torch.rand(4, 3, 10, 10)
kh, kw = 3, 3
#weight = torch.rand(5, 3, kh, kw)
# offset and mask should have the same spatial size as the output
# of the convolution. In this case, for an input of 10, stride of 1
# and kernel size of 3, without padding, the output size is 8
#offset = torch.rand(4, 2 * kh * kw, 8, 8)
#mask = torch.rand(4, kh * kw, 8, 8)


class BasicEncoder(nn.Module):
Expand All @@ -16,9 +27,13 @@ class BasicEncoder(nn.Module):
add_image = False

def _conv2d(self, in_channels, out_channels):
return nn.Conv2d(
return DeformConv2d(
in_channels=in_channels,
out_channels=out_channels,
input = torch.rand(4, 3, 10, 10)
weight = torch.rand(5, 3, kh, kw)
offset = torch.rand(4, 2 * kh * kw, 8, 8)
mask = torch.rand(4, kh * kw, 8, 8)
kernel_size=3,
padding=1
)
Expand Down