diff --git a/torchvision/models/alexnet.py b/torchvision/models/alexnet.py
index 95d8dce0f28..7d71930fae7 100644
--- a/torchvision/models/alexnet.py
+++ b/torchvision/models/alexnet.py
@@ -1,3 +1,4 @@
+import torch
 import torch.nn as nn
 import torch.utils.model_zoo as model_zoo
 
@@ -12,8 +13,9 @@
 
 class AlexNet(nn.Module):
 
-    def __init__(self, num_classes=1000):
+    def __init__(self, num_classes=1000, transform_input=False):
         super(AlexNet, self).__init__()
+        self.transform_input = transform_input
         self.features = nn.Sequential(
             nn.Conv2d(3, 64, kernel_size=11, stride=4, padding=2),
             nn.ReLU(inplace=True),
@@ -41,6 +43,14 @@ def __init__(self, num_classes=1000):
         )
 
     def forward(self, x):
+
+        # imagenet normalisation
+        if self.transform_input:
+            x_ch0 = (torch.unsqueeze(x[:, 0], 1) - 0.485) / 0.229
+            x_ch1 = (torch.unsqueeze(x[:, 1], 1) - 0.456) / 0.224
+            x_ch2 = (torch.unsqueeze(x[:, 2], 1) - 0.406) / 0.225
+            x = torch.cat((x_ch0, x_ch1, x_ch2), 1)
+
         x = self.features(x)
         x = self.avgpool(x)
         x = x.view(x.size(0), 256 * 6 * 6)