[PYT-194] Separate out Features copy (#56)

Author: patmellon

_features/cloud-partners.md

@@ -14,6 +14,7 @@ snippet: >
         a = a + 1
     print()
   ```
+summary: Get up and running quickly with PyTorch through cloud platforms for training and inference.
 ---
 
 Get up and running quickly with PyTorch through cloud platforms for training and inference.

_features/distributed-training.md

@@ -14,6 +14,7 @@ snippet: >
         a = a + 1
     print()
   ```
+summary: Take advantage of native support for asynchronous execution of collective operations and peer-to-peer communication that is accessible from both Python and C++.
 ---
 
 Take advantage of native support for asynchronous execution of collective operations and peer-to-peer communication that is accessible from both Python and C++.

_features/hybrid-front-end.md

@@ -14,6 +14,7 @@ snippet: >
         a = a + 1
     print()
   ```
+summary: A new hybrid front-end provides ease-of-use and flexibility in eager mode, while seamlessly transitioning to graph mode for speed, optimization, and functionality in C++ runtime environments.
 ---
 
 A new hybrid front-end provides ease-of-use and flexibility in eager mode, while seamlessly transitioning to graph mode for speed, optimization, and functionality in C++ runtime environments.

_features/native-onnx-support.md

@@ -14,6 +14,7 @@ snippet: >
         a = a + 1
     print()
   ```
+summary: Export models in the standard ONNX (Open Neural Network Exchange) format for direct access to ONNX-compatible platforms, runtimes, visualizers, and more.
 ---
 
 Export models in the standard ONNX (Open Neural Network Exchange) format for direct access to ONNX-compatible platforms, runtimes, visualizers, and more.

_features/python-first.md

@@ -14,6 +14,7 @@ snippet: >
         a = a + 1
     print()
   ```
+summary: Deep integration into Python allows popular libraries and packages to be used, while a new pure C++ interface (beta) enables performance-critical research.
 ---
 
 Deep integration into Python allows popular libraries and packages to be used, while a new pure C++ interface (beta) enables performance-critical research.

_features/tools-libraries.md

@@ -14,6 +14,7 @@ snippet: >
         a = a + 1
     print()
   ```
+summary: Access a rich ecosystem of tools and libraries to extend PyTorch and support development in areas from computer vision to reinforcement learning.
 ---
 
 Access a rich ecosystem of tools and libraries to extend PyTorch and support development in areas from computer vision to reinforcement learning.

index.html

@@ -35,7 +35,7 @@ <h2>Key Features &amp;<br />Capabilities</h2>
       {% for feature in features %}
         <div class="col-md-3 key-feature-box">
           <h5>{{ feature.title }}</h5>
-          {{ feature.content }}
+          <p>{{ feature.summary }}</p>
         </div>
       {% endfor %}
     </div>