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Copy file name to clipboardExpand all lines: examples/demo-apps/android/ExecuTorchDemo/README.md
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@@ -17,7 +17,7 @@ This guide explains how to setup ExecuTorch for Android using a demo app. The ap
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* Refer to [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment.
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* Download and install [Android Studio and SDK](https://developer.android.com/studio).
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* Supported Host OS: CentOS, macOS Ventura (M1/x86_64). See below for Qualcomm HTP specific requirements.
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**Qualcomm HTP Only[^1]:* To build and run on Qualcomm's AI Engine Direct, please follow [Building and Running ExecuTorch with Qualcomm AI Engine Direct Backend](build-run-qualcomm-ai-engine-direct-backend.md) for hardware and software pre-requisites.
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**Qualcomm HTP Only[^1]:* To build and run on Qualcomm's AI Engine Direct, please follow [Building and Running ExecuTorch with Qualcomm AI Engine Direct Backend](build-run-qualcomm-ai-engine-direct-backend.md) for hardware and software pre-requisites. The version we use for this tutorial is 2.19. The chip we use for this tutorial is SM8450.
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After generating the model, copy the model to `assets` directory.
We need to push some additional Qualcomm HTP backend libraries to the app. Please refer to [Qualcomm docs](build-run-qualcomm-ai-engine-direct-backend.md) here.
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