update

correlation/models/initialization.py

@@ -0,0 +1,16 @@
+import torch
+import torch.nn as nn
+
+
+def initialize_resnet(m):
+    if isinstance(m, nn.Conv2d):
+        nn.init.kaiming_normal_(m.weight, mode="fan_out", nonlinearity="relu")
+        if m.bias is not None:
+            nn.init.constant_(m.bias, 0)
+    elif isinstance(m, nn.BatchNorm2d):
+        nn.init.constant_(m.weight, 1)
+        if m.bias is not None:
+            nn.init.constant_(m.bias, 0)
+    elif isinstance(m, nn.Linear):
+        nn.init.normal_(m.weight, 0, 0.01)
+        nn.init.constant_(m.bias, 0)