diff --git a/docs/source/multi_gpu.rst b/docs/source/multi_gpu.rst
index fdd5a92b46..baf99d87d1 100644
--- a/docs/source/multi_gpu.rst
+++ b/docs/source/multi_gpu.rst
@@ -38,7 +38,7 @@ This will make your code scale to any arbitrary number of GPUs or TPUs with Ligh
     # with lightning
     def forward(self, x):
         z = torch.Tensor(2, 3)
-        z = z.type_as(x.type())
+        z = z.type_as(x)
 
 Remove samplers
 ^^^^^^^^^^^^^^^
diff --git a/pytorch_lightning/core/__init__.py b/pytorch_lightning/core/__init__.py
index fac76ffd61..9cd75606b5 100644
--- a/pytorch_lightning/core/__init__.py
+++ b/pytorch_lightning/core/__init__.py
@@ -228,7 +228,7 @@ When you init a new tensor in your code, just use type_as
 
         # put the z on the appropriate gpu or tpu core
         z = sample_noise()
-        z = z.type_as(x.type())
+        z = z.type_as(x)
 
 ----------