diff --git a/pytorch_lightning/utils/embeddings.py b/pytorch_lightning/utils/embeddings.py
index 507848b242..4e96c61b12 100644
--- a/pytorch_lightning/utils/embeddings.py
+++ b/pytorch_lightning/utils/embeddings.py
@@ -13,11 +13,7 @@ class PretrainedEmbedding(torch.nn.Embedding):
         >>> emb = PretrainedEmbedding(embedding_path='glove.840B.300d.txt',embedding_dim=300, task_vocab={'hello': 1, 'world': 2})
         >>> data = torch.Tensor([[0, 1], [0, 2]]).long()
         >>> embedded = emb(data)
-        tensor([[[ 0.0000,  0.0000,  0.0000,  ...,  0.0000,  0.0000,  0.0000],
-         [ 0.2523,  0.1018, -0.6748,  ...,  0.1787, -0.5192,  0.3359]],
-
-        [[ 0.0000,  0.0000,  0.0000,  ...,  0.0000,  0.0000,  0.0000],
-         [-0.0067,  0.2224,  0.2771,  ...,  0.0594,  0.0014,  0.0987]]])
+        
 
 
         :param embedding_path:
@@ -37,7 +33,8 @@ class PretrainedEmbedding(torch.nn.Embedding):
         self.weight = new_emb.weight
 
         # apply freeze
-        self.weight.requires_grad = not freeze
+        should_freeze = not freeze
+        self.weight.requires_grad = should_freeze
 
     def __load_task_specific_embeddings(self, vocab_words, embedding_path, emb_dim, freeze):
         """