diff --git a/torchvision/models/squeezenet.py b/torchvision/models/squeezenet.py
index a3e51e3b953..89316a59c3e 100644
--- a/torchvision/models/squeezenet.py
+++ b/torchvision/models/squeezenet.py
@@ -38,8 +38,9 @@ def forward(self, x):
 
 class SqueezeNet(nn.Module):
 
-    def __init__(self, version=1.0, num_classes=1000):
+    def __init__(self, version=1.0, num_classes=1000, transform_input=False):
         super(SqueezeNet, self).__init__()
+        self.transform_input = transform_input
         if version not in [1.0, 1.1]:
             raise ValueError("Unsupported SqueezeNet version {version}:"
                              "1.0 or 1.1 expected".format(version=version))
@@ -95,6 +96,14 @@ def __init__(self, version=1.0, num_classes=1000):
                     init.constant_(m.bias, 0)
 
     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.classifier(x)
         return x.view(x.size(0), self.num_classes)