tiny change to super-resolution tutorial (pytorch#138)

* tiny change to tutorial

missed a single word :P

* Update super_resolution_with_caffe2.py

Author: prigoyal

advanced_source/super_resolution_with_caffe2.py

@@ -13,7 +13,7 @@
 You can get binary builds of onnx and onnx-caffe2 with
 ``conda install -c ezyang onnx onnx-caffe2``.
 
-``NOTE``: This tutorial needs PyTorch master branch which can installed by following
+``NOTE``: This tutorial needs PyTorch master branch which can be installed by following
 the instructions `here <https://github.com/pytorch/pytorch#from-source>`__
 
 """
@@ -96,7 +96,7 @@ def _initialize_weights(self):
 # Exporting a model in PyTorch works via tracing. To export a model, you
 # call the ``torch.onnx._export()`` function. This will execute the model,
 # recording a trace of what operators are used to compute the outputs.
-# Because ``export`` runs the model, we need provide an input tensor
+# Because ``_export`` runs the model, we need provide an input tensor
 # ``x``. The values in this tensor are not important; it can be an image
 # or a random tensor as long as it is the right size.
 #