diff --git a/prototorch/core/transforms.py b/prototorch/core/transforms.py
index efac17c..5e00bb0 100644
--- a/prototorch/core/transforms.py
+++ b/prototorch/core/transforms.py
@@ -36,7 +36,7 @@ class LinearTransform(torch.nn.Module):
         self._register_weights(weights)
 
     def forward(self, x):
-        return x @ self.weights.T
+        return x @ self.weights
 
 
 # Aliases
diff --git a/tests/test_core.py b/tests/test_core.py
index d007f9b..816cac7 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -265,13 +265,25 @@ def test_eye_transform_init_wide():
 
 
 # Transforms
-def test_linear_transform():
+def test_linear_transform_default_eye_init():
     l = pt.transforms.LinearTransform(2, 4)
     actual = l.weights
     desired = torch.Tensor([[1, 0, 0, 0], [0, 1, 0, 0]])
     assert torch.allclose(actual, desired)
 
 
+def test_linear_transform_forward():
+    l = pt.transforms.LinearTransform(4, 2)
+    actual_weights = l.weights
+    desired_weights = torch.Tensor([[1, 0], [0, 1], [0, 0], [0, 0]])
+    assert torch.allclose(actual_weights, desired_weights)
+    actual_outputs = l(torch.Tensor([[1.1, 2.2, 3.3, 4.4], \
+                                     [1.1, 2.2, 3.3, 4.4], \
+                                     [5.5, 6.6, 7.7, 8.8]]))
+    desired_outputs = torch.Tensor([[1.1, 2.2], [1.1, 2.2], [5.5, 6.6]])
+    assert torch.allclose(actual_outputs, desired_outputs)
+
+
 def test_linear_transform_zeros_init():
     l = pt.transforms.LinearTransform(
         in_dim=2,