Follow consistent ordering in examples/README.md (#937)

Summary:
Pull Request resolved: #937

Similar to tutorials ordering.

core parts, sdk, demo apps, xnnpack, 3p backends

Reviewed By: dbort

Differential Revision: D50308963

fbshipit-source-id: 766949e89c4c280098c5ae8bcd83c75aa77feaab

Author: mergennachin

examples/README.md

@@ -9,19 +9,18 @@ ExecuTorch's extensive support spans from simple modules like "Add" to comprehen
 ## Directory structure
 ```
 examples
-├── apple
-|   ├── mps                           # Contains end-to-end demos of MPS backend
 ├── models                            # Contains a set of popular and representative PyTorch models
 ├── portable                          # Contains end-to-end demos for ExecuTorch in portable mode
-├── xnnpack                           # Contains end-to-end ExecuTorch demos with first-party optimization using XNNPACK
 ├── selective_build                   # Contains demos of selective build for optimizing the binary size of the ExecuTorch runtime
+├── sdk                               # Contains demos of BundledProgram and ETDump
+├── demo-apps                         # Contains demo apps for Android and iOS
+├── xnnpack                           # Contains end-to-end ExecuTorch demos with first-party optimization using XNNPACK
+├── apple
+|   |── coreml                        # Contains demos of Apple's CoreML backend
+|   └── mps                           # Contains end-to-end demos of MPS backend
 ├── arm                               # Contains demos of the Arm TOSA and Ethos-U NPU flows
 ├── qualcomm                          # Contains demos of Qualcomm QNN backend
 ├── xtensa                            # Contains demos of exporting and running a simple model on Xtensa Hifi4 DSP
-├── apple
-|   └── coreml                        # Contains demos of Apple's CoreML backend
-├── demo-apps                         # Contains demo apps for Android and iOS
-├── sdk                               # Contains demos of BundledProgram and ETDump
 ├── third-party                       # Third-party libraries required for working on the demos
 └── README.md                         # This file
 ```
@@ -32,43 +31,38 @@ examples
 A user's journey may commence by exploring the demos located in the [`portable/`](./portable) directory. Here, you will gain insights into the fundamental end-to-end workflow to generate a binary file from a ML model in [portable mode](/docs/website/docs/basics/terminology.md) and run it on the ExecuTorch runtime.
 
 
-## Demo of XNNPACK delegation
-
-The demos in the [`xnnpack/`](./xnnpack) directory provide valuable insights into the process of lowering and executing an ExecuTorch model with built-in performance enhancements. These demos specifically showcase the workflow involving [XNNPACK backend](https://github.com/pytorch/executorch/tree/main/backends/xnnpack) delegation and quantization.
-
-
 ## Demo of Selective Build
 
 To understand how to deploy the ExecuTorch runtime with optimization for binary size, explore the demos available in the [`selective_build/`](./selective_build) directory. These demos are specifically designed to illustrate the [Selective Build](/docs/website/docs/tutorials/selective_build.md), offering insights into reducing the binary size while maintaining efficiency.
 
+## Demo of ExecuTorch SDK
+
+You will find demos of [ExecuTorch SDK](./sdk/) in the [`sdk/`](./sdk/) directory. The examples focuses on exporting and executing BundledProgram for ExecuTorch model verification, and ETDump generation.
 
 ## Demo Apps
 
 Explore mobile apps with ExecuTorch models integrated and deployable on Android and iOS in the [`demo-apps/android/`](./demo-apps/android) and [`demo-apps/apple_ios/`](./demo-apps/apple_ios) directories, respectively.
 
+## Demo of XNNPACK delegation
+
+The demos in the [`xnnpack/`](./xnnpack) directory provide valuable insights into the process of lowering and executing an ExecuTorch model with built-in performance enhancements. These demos specifically showcase the workflow involving [XNNPACK backend](https://github.com/pytorch/executorch/tree/main/backends/xnnpack) delegation and quantization.
+
+## Demo of ExecuTorch Apple Backend
+
+You will find demos of [ExecuTorch CoreML Backend](./apple/coreml/) in the [`apple/coreml/`](./apple/coreml) directory and [MPS Backend](./apple/mps/) in the [`apple/mps/`](./apple/mps) directory.
 
 ## Demo of ExecuTorch on ARM Cortex-M55 + Ethos-U55
 
 The [`arm/`](./arm) directory contains scripts to help you run a PyTorch model on a ARM Corstone-300 platform via ExecuTorch.
 
-
 ## Demo of ExecuTorch QNN Backend
 
 You will find demos of [ExecuTorch QNN Backend](./qualcomm) in the [`qualcomm/`](./qualcomm) directory.
 
-
-## Demo of ExecuTorch on Xtensa Hifi4 DSP
+## Demo of ExecuTorch on Xtensa HiFi4 DSP
 
 The [`xtensa/`](./xtensa) directory hosts a demo that showcases the process of exporting and executing a model on Xtensa Hifi4 DSP. You can utilize [this tutorial](../docs/source/build-run-xtensa.md) to guide you in configuring the demo and running it.
 
-## Demo of ExecuTorch Apple Backend
-
-You will find demos of [ExecuTorch CoreML Backend](./apple/coreml/) in the [`apple/coreml/`](./apple/coreml) directory.
-
-## Demo of ExecuTorch SDK
-
-You will find demos of [ExecuTorch SDK](./sdk/) in the [`sdk/`](./sdk/) directory. The examples focuses on exporting and executing BundledProgram for ExecuTorch model verification, and ETDump generation.
-
 ## Dependencies
 
 Various models and workflows listed in this directory have dependencies on some other packages. You need to follow the setup guide in [Setting up ExecuTorch from GitHub](/docs/website/docs/tutorials/00_setting_up_executorch.md) to have appropriate packages installed.