@@ -127,7 +127,7 @@ export PYTHONPATH=$EXECUTORCH_ROOT/..
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An example script for the below building instructions is [ here] ( https://github.com/pytorch/executorch/blob/main/backends/qualcomm/scripts/build.sh ) .
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We recommend to use the script because the ExecuTorch build-command can change from time to time.
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- The above script is actively used. It is updated more frquently than this tutorial.
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+ The above script is actively used. It is updated more frequently than this tutorial.
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An example usage is
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``` bash
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cd $EXECUTORCH_ROOT
@@ -165,14 +165,14 @@ cmake --build $PWD --target "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j$(npro
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cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT /backends/qualcomm/python
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cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT /backends/qualcomm/python
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- # Workaround for fbs files in exir/_serialize
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+ # Workaround for . fbs files in exir/_serialize
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cp $EXECUTORCH_ROOT /schema/program.fbs $EXECUTORCH_ROOT /exir/_serialize/program.fbs
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cp $EXECUTORCH_ROOT /schema/scalar_type.fbs $EXECUTORCH_ROOT /exir/_serialize/scalar_type.fbs
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```
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### Runtime:
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- A example ` qnn_executor_runner ` executable would be used to run the compiled ` pte ` model.
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+ An example ` qnn_executor_runner ` executable would be used to run the compiled ` pte ` model.
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Commands to build ` qnn_executor_runner ` for Android:
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@@ -271,7 +271,7 @@ cmake --build examples/qualcomm -j$(nproc)
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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 ` .
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+ To run the HTP emulator, the dynamic linker needs to access QNN libraries and ` libqnn_executorch_backend.so ` .
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We set the below two paths to ` LD_LIBRARY_PATH ` environment variable:
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1 . ` $QNN_SDK_ROOT/lib/x86_64-linux-clang/ `
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2 . ` $EXECUTORCH_ROOT/build-x86/lib/ `
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