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pytorchbotcccclai
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fix the binary path (#12820)
Summary: As title, the binary path is off Differential Revision: D78840753 Co-authored-by: cccclai <[email protected]>
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docs/source/backends-qualcomm.md

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@@ -199,7 +199,7 @@ cmake ../examples/qualcomm \
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cmake --build examples/qualcomm -j$(nproc)
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# qnn_executor_runner can be found under examples/qualcomm
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# The full path is $EXECUTORCH_ROOT/build-android/examples/qualcomm/qnn_executor_runner
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# The full path is $EXECUTORCH_ROOT/build-android/examples/qualcomm/executor_runner/qnn_executor_runner
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ls examples/qualcomm
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```
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@@ -255,9 +255,9 @@ cmake ../examples/qualcomm \
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cmake --build examples/qualcomm -j$(nproc)
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# qnn_executor_runner can be found under examples/qualcomm
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# The full path is $EXECUTORCH_ROOT/build-x86/examples/qualcomm/qnn_executor_runner
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ls examples/qualcomm/
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# qnn_executor_runner can be found under examples/qualcomm/executor_runner
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# The full path is $EXECUTORCH_ROOT/build-x86/examples/qualcomm/executor_runner/qnn_executor_runner
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ls examples/qualcomm/executor_runner
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```
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To run the HTP emulator, the dynamic linker need to access QNN libraries and `libqnn_executorch_backend.so`.
@@ -273,7 +273,7 @@ So, we can run `./deeplab_v3/dlv3_qnn.pte` by:
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```bash
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cd $EXECUTORCH_ROOT/build-x86
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export LD_LIBRARY_PATH=$EXECUTORCH_ROOT/build-x86/lib/:$LD_LIBRARY_PATH
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examples/qualcomm/qnn_executor_runner --model_path ../deeplab_v3/dlv3_qnn.pte
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examples/qualcomm/executor_runner/qnn_executor_runner --model_path ../deeplab_v3/dlv3_qnn.pte
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```
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We should see some outputs like the below. Note that the emulator can take some time to finish.

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