init

lib/nas/head_utils.py

@@ -0,0 +1,19 @@
+import torch
+import torch.nn as nn
+
+
+class ImageNetHEAD(nn.Sequential):
+  def __init__(self, C, stride=2):
+    super(ImageNetHEAD, self).__init__()
+    self.add_module('conv1', nn.Conv2d(3, C // 2, kernel_size=3, stride=2, padding=1, bias=False))
+    self.add_module('bn1'  , nn.BatchNorm2d(C // 2))
+    self.add_module('relu1', nn.ReLU(inplace=True))
+    self.add_module('conv2', nn.Conv2d(C // 2, C, kernel_size=3, stride=stride, padding=1, bias=False))
+    self.add_module('bn2'  , nn.BatchNorm2d(C))
+
+
+class CifarHEAD(nn.Sequential):
+  def __init__(self, C):
+    super(CifarHEAD, self).__init__()
+    self.add_module('conv', nn.Conv2d(3, C, kernel_size=3, padding=1, bias=False))
+    self.add_module('bn', nn.BatchNorm2d(C))