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authorJordan Gong <jordan.gong@protonmail.com>2020-12-23 18:59:08 +0800
committerJordan Gong <jordan.gong@protonmail.com>2020-12-23 18:59:08 +0800
commit96f345d25237c7e616ea5f524a2fc2d340ed8aff (patch)
tree9791c394d147f39d45ecab2a1ea5f83b396f3568 /models/layers.py
parent74a3df70a47630b7e95abc09197d23de9b81d4de (diff)
Split modules to different files
Diffstat (limited to 'models/layers.py')
-rw-r--r--models/layers.py27
1 files changed, 27 insertions, 0 deletions
diff --git a/models/layers.py b/models/layers.py
new file mode 100644
index 0000000..e737df2
--- /dev/null
+++ b/models/layers.py
@@ -0,0 +1,27 @@
+from typing import Union, Tuple
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+class FocalConv2d(nn.Module):
+ def __init__(
+ self,
+ in_channels: int,
+ out_channels: int,
+ kernel_size: Union[int, Tuple[int, int]],
+ halving: int,
+ **kwargs
+ ):
+ super(FocalConv2d, self).__init__()
+ self.halving = halving
+ self.conv = nn.Conv2d(in_channels, out_channels, kernel_size,
+ bias=False, **kwargs)
+
+ def forward(self, x):
+ h = x.size(2)
+ split_size = h // 2 ** self.halving
+ z = x.split(split_size, dim=2)
+ z = torch.cat([self.conv(_) for _ in z], dim=2)
+ return F.leaky_relu(z, inplace=True)