Add more algorithms

lib/models/initialization.py

@@ -0,0 +1,18 @@
+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)
+
+