diff --git a/pl_bolts/models/regression/logistic_regression.py b/pl_bolts/models/regression/logistic_regression.py
index 21178f5e17..f283c8182b 100644
--- a/pl_bolts/models/regression/logistic_regression.py
+++ b/pl_bolts/models/regression/logistic_regression.py
@@ -53,7 +53,7 @@ def training_step(self, batch, batch_idx):
         # flatten any input
         x = x.view(x.size(0), -1)
 
-        y_hat = self(x)
+        y_hat = self.linear(x)
 
         # PyTorch cross_entropy function combines log_softmax and nll_loss in single function
         loss = F.cross_entropy(y_hat, y, reduction='sum')