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Oct 9, 2025
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Qualcomm AI Engine Direct - docs fix #14881

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Qualcomm AI Engine Direct - docs fix
DannyYuyang-quic Oct 8, 2025
41f2c2e
remove aot and runtime build comments, and add instruction for instal…
DannyYuyang-quic Oct 9, 2025
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9 changes: 4 additions & 5 deletions docs/source/backends-qualcomm.md
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Expand Up @@ -74,10 +74,9 @@ This example is verified with SM8550 and SM8450.
- A compiler to compile AOT parts, e.g., the GCC compiler comes with Ubuntu LTS.
- [Android NDK](https://developer.android.com/ndk). This example is verified with NDK 26c.
- [Qualcomm AI Engine Direct SDK](https://developer.qualcomm.com/software/qualcomm-ai-engine-direct-sdk)
- Click the "Get Software" button to download a version of QNN SDK.
- However, at the moment of updating this tutorial, the above website doesn't provide QNN SDK newer than 2.22.6.
- The below is public links to download various QNN versions. Hope they can be publicly discoverable soon.
- [QNN 2.37.0](https://softwarecenter.qualcomm.com/api/download/software/sdks/Qualcomm_AI_Runtime_Community/All/2.37.0.250724/v2.37.0.250724.zip)
- Click the "Get Software" button to download the latest version of the QNN SDK.
- Although newer versions are available, we have verified and recommend using QNN 2.37.0 for stability.
- You can download it directly from the following link: [QNN 2.37.0](https://softwarecenter.qualcomm.com/api/download/software/sdks/Qualcomm_AI_Runtime_Community/All/2.37.0.250724/v2.37.0.250724.zip)
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@cccclai we need to update these instructions. We shouldnt need to download sdk with qnn pip wheel. Make this either optional or remove it entirely. I would prefer latter because it avoid confusion

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pip wheel release hasn't finished yet. The nightly build is based on viable/strict and it has been stuck for a week, which doesn't include our latest commit for the fix. After it's verified, I can add a session and move this part to build from source session


The directory with installed Qualcomm AI Engine Direct SDK looks like:
```
Expand Down Expand Up @@ -365,7 +364,7 @@ The model, inputs, and output location are passed to `qnn_executorch_runner` by

## Supported model list

Please refer to `$EXECUTORCH_ROOT/examples/qualcomm/scripts/` and `EXECUTORCH_ROOT/examples/qualcomm/oss_scripts/` to the list of supported models.
Please refer to `$EXECUTORCH_ROOT/examples/qualcomm/scripts/` and `$EXECUTORCH_ROOT/examples/qualcomm/oss_scripts/` to the list of supported models.

## How to Support a Custom Model in HTP Backend

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7 changes: 4 additions & 3 deletions examples/qualcomm/README.md
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Expand Up @@ -111,12 +111,13 @@ This section outlines the essential APIs and utilities provided to streamline th
Creates a clean directory for storing model outputs or intermediate results. If the directory already exists, it will be deleted and recreated to ensure a consistent environment for each run.

## Additional Dependency
This example requires the following Python packages:
- pandas and scikit-learn: used in the mobilebert multi-class text classification example.
- graphviz (optional): used for visualizing QNN graphs during debugging.

The mobilebert multi-class text classification example requires `pandas` and `sklearn`.
Please install them by something like

```bash
pip install scikit-learn pandas
pip install scikit-learn pandas graphviz
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@abhinaykukkadapu abhinaykukkadapu Oct 8, 2025 •
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I had to install lm_eval too.

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lm_eval is only for llama I think

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Thanks, I see it is part of examples/models/llama/install_requirements.sh, may be we should mention this in the instructions to run llama models?

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Yeah I think it's reasonable to have it as part of the instructions to run llama models

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I’ve just added the instruction at this line

```

## Limitation
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