spelling mistake

pytorch_transformers/convert_pytorch_checkpoint_to_tf.py

@@ -41,7 +41,7 @@ def convert_pytorch_checkpoint_to_tf(model:BertModel, ckpt_dir:str, model_name:s
         N BertForQuestionAnswering
     """
 
-    tensors_to_transopse = (
+    tensors_to_transpose = (
         "dense.weight",
         "attention.self.query",
         "attention.self.key",
@@ -81,7 +81,7 @@ def convert_pytorch_checkpoint_to_tf(model:BertModel, ckpt_dir:str, model_name:s
         for var_name in state_dict:
             tf_name = to_tf_var_name(var_name)
             torch_tensor = state_dict[var_name].numpy()
-            if any([x in var_name for x in tensors_to_transopse]):
+            if any([x in var_name for x in tensors_to_transpose]):
                 torch_tensor = torch_tensor.T
             tf_var = create_tf_var(tensor=torch_tensor, name=tf_name, session=session)
             tf.keras.backend.set_value(tf_var, torch_tensor)