update index-rst

Author: lara-hdr

_static/img/cat_output1.png

@@ -13,6 +13,6 @@ Advanced Tutorials
 	Custom C Extensions for PyTorch
 	https://pytorch.org/tutorials/advanced/c_extension.html
 
-4. super_resolution_with_caffe2.py
-	Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX
-	https://pytorch.org/tutorials/advanced/super_resolution_with_caffe2.html
+4. super_resolution_with_onnxruntime.py
+    Exporting a Model from PyTorch to ONNX and Running it using ONNXRuntime
+	https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html

advanced_source/README.txt

@@ -1,6 +1,6 @@
 """
-Exporting aModel from PyTorch to ONNX and Running it using ONNXRuntime
-======================================================================
+Exporting a Model from PyTorch to ONNX and Running it using ONNXRuntime
+=======================================================================
 
 In this tutorial, we describe how to convert a model defined
 in PyTorch into the ONNX format and then run it with ONNXRuntime. 
@@ -268,7 +268,7 @@ def to_numpy(tensor):
 
 
 ######################################################################
-# .. figure:: /_static/img/cat_superres_with_ort.png
+# .. figure:: /_static/img/cat_superres_with_ort.jpg
 #    :alt: output\_cat
 #
 #

advanced_source/super_resolution_with_onnxruntime.py

@@ -101,8 +101,8 @@ Image
 
 .. customgalleryitem::
    :figure: /_static/img/cat.jpg
-   :tooltip: Use ONNX to convert a model defined in PyTorch into the ONNX format and then load it into Caffe2
-   :description: :doc:`advanced/super_resolution_with_caffe2`
+   :tooltip: Exporting a Model from PyTorch to ONNX and Running it using ONNXRuntime
+   :description: :doc:`advanced/super_resolution_with_onnxruntime`
 
 .. raw:: html
 
@@ -277,7 +277,7 @@ PyTorch in Other Languages
    intermediate/spatial_transformer_tutorial
    advanced/neural_style_tutorial
    beginner/fgsm_tutorial
-   advanced/super_resolution_with_caffe2
+   advanced/super_resolution_with_onnxruntime
 
 .. toctree::
    :maxdepth: 2