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mergennachin merged 1 commit into from
Jan 23, 2025
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Update utils reference #6956

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4 changes: 2 additions & 2 deletions docs/source/build-run-qualcomm-ai-engine-direct-backend.md
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Expand Up @@ -32,7 +32,7 @@ Kryo CPU, Adreno GPU, and Hexagon processors. More details can be found [here](h
Currently, this ExecuTorch Backend can delegate AI computations to Hexagon processors through Qualcomm AI Engine Direct APIs.


## Prerequsites (Hardware and Software)
## Prerequisites (Hardware and Software)

### Host OS

Expand Down Expand Up @@ -340,7 +340,7 @@ The `<device_serial>` can be found by `adb devices` command.

After the above command, pre-processed inputs and outputs are put in `$EXECUTORCH_ROOT/deeplab_v3` and `$EXECUTORCH_ROOT/deeplab_v3/outputs` folder.

The command-line arguents are written in [utils.py](https://github.com/pytorch/executorch/blob/main/examples/qualcomm/scripts/utils.py#L127).
The command-line arguments are written in [utils.py](https://github.com/pytorch/executorch/blob/main/examples/qualcomm/utils.py#L139).
The model, inputs, and output location are passed to `qnn_executorch_runner` by `--model_path`, `--input_list_path`, and `--output_folder_path`.


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