refactor: using dynamic sizing for css and some typos

Signed-off-by: Naren Dasan <naren@narendasan.com>
Signed-off-by: Naren Dasan <narens@nvidia.com>

Author: narendasan

docsrc/_static/css/custom.css

@@ -2,7 +2,7 @@
 */
 
 .sphx-glr-thumbcontainer {
-    padding: 100px;
+    padding: 50%;
     display: flex;
     align-content: center;
 }

examples/dynamo/README.rst

@@ -6,6 +6,6 @@ Dynamo / ``torch.compile``
 Torch-TensorRT provides a backend for the new ``torch.compile`` API released in PyTorch 2.0. In the following examples we describe
 a number of ways you can leverage this backend to accelerate inference.
 
-* :ref:`dynamo_compile_resnet`: Compiling a ResNet model using the Dyanmo Compile Frontend for ``torch_tensorrt.compile``
+* :ref:`dynamo_compile_resnet`: Compiling a ResNet model using the Dynamo Compile Frontend for ``torch_tensorrt.compile``
 * :ref:`torch_compile_transformer`: Compiling a Transformer model using ``torch.compile``
 * :ref:`dynamo_compile_advanced_usage`: Advanced usage including making a custom backend to use directly with the ``torch.compile`` API