fix ONNX RUNTIME in comments and opsets names

Author: titaiwangms

beginner_source/onnx/export_simple_model_to_onnx_tutorial.py

@@ -176,7 +176,7 @@ def forward(self, x: torch.Tensor):
 
 onnxruntime_input = {input_arg.name: input_value for input_arg, input_value in zip(ort_session.get_inputs(), onnx_inputs)}
 
-# onnxruntime returns a list of outputs
+# ONNX Runtime returns a list of outputs
 onnxruntime_outputs = ort_session.run(None, onnxruntime_input)[0]
 
 ####################################################################

beginner_source/onnx/intro_onnx.py

@@ -27,7 +27,7 @@
 
 When setting ``dynamo=True``, the exporter will use `torch.export <https://pytorch.org/docs/stable/export.html>`_ to capture an ``ExportedProgram``,
 before translating the graph into ONNX representations. This approach is the new and recommended way to export models to ONNX.
-It works with PyTorch 2.0 features more robustly, has better support for newer ONNX opsets, and consumes less resources
+It works with PyTorch 2.0 features more robustly, has better support for newer ONNX operator sets, and consumes less resources
 to make exporting larger models possible.
 
 Dependencies