Qualcomm AI Engine Direct - Test QNN2.37 uplevel Fix (pytorch#13927)

### Summary
[PLEASE REMOVE] See [CONTRIBUTING.md's Pull
Requests](https://github.com/pytorch/executorch/blob/main/CONTRIBUTING.md#pull-requests)
for ExecuTorch PR guidelines.

[PLEASE REMOVE] If this PR closes an issue, please add a `Fixes
#<issue-id>` line.

[PLEASE REMOVE] If this PR introduces a fix or feature that should be
the upcoming release notes, please add a "Release notes: <area>" label.
For a list of available release notes labels, check out
[CONTRIBUTING.md's Pull
Requests](https://github.com/pytorch/executorch/blob/main/CONTRIBUTING.md#pull-requests).

### Test plan
[PLEASE REMOVE] How did you test this PR? Please write down any manual
commands you used and note down tests that you have written if
applicable.

Author: winskuo-quic

.ci/scripts/setup-qnn-deps.sh

@@ -11,4 +11,4 @@ source "$(dirname "${BASH_SOURCE[0]}")/../../backends/qualcomm/scripts/install_q
 
 setup_libcpp 12
 setup_android_ndk
-install_qnn
+install_qnn

.ci/scripts/test_backend_linux.sh

@@ -30,10 +30,8 @@ if [[ "$FLOW" == *qnn* ]]; then
     # Qualcomm build. TODO (gjcomer) Clean this up once the QNN pybinding integration is
     # cleaned up.
     PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool cmake
-    PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
-    PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
+    PYTHON_EXECUTABLE=python source .ci/scripts/build-qnn-sdk.sh
     QNN_X86_LIB_DIR=`realpath build-x86/lib/`
-    QNN_SDK_ROOT="/tmp/qnn/2.28.0.241029"
     export LD_LIBRARY_PATH"=$QNN_X86_LIB_DIR:$QNN_SDK_ROOT/lib/x86_64-linux-clang/:${LD_LIBRARY_PATH:-}"
 
     # TODO Get SDK root from install scripts

.ci/scripts/test_qnn_static_llama.sh

@@ -9,8 +9,6 @@ set -euxo pipefail
 
 source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
 
-# Source QNN configuration
-source "$(dirname "${BASH_SOURCE[0]}")/../../backends/qualcomm/scripts/qnn_config.sh"
 # Download QNN_SDK. If already downloaded, export environment path
 source "$(dirname "${BASH_SOURCE[0]}")/../../backends/qualcomm/scripts/install_qnn_sdk.sh"
 install_qnn

.github/workflows/android-perf.yml

@@ -292,7 +292,7 @@ jobs:
                       export.output_name="${OUT_ET_MODEL_NAME}.pte"
                     ls -lh "${OUT_ET_MODEL_NAME}.pte"
                 elif [[ ${{ matrix.config }} == "llama3_qnn_htp" ]]; then
-                    export QNN_SDK_ROOT=/tmp/qnn/2.37.0.25072
+                    export QNN_SDK_ROOT=/tmp/qnn/2.37.0.250724
                     export LD_LIBRARY_PATH=$QNN_SDK_ROOT/lib/x86_64-linux-clang/
                     export PYTHONPATH=$(pwd)/..
 
@@ -432,7 +432,7 @@ jobs:
         PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
 
         mkdir -p aar-out
-        PYTHON_EXECUTABLE=python ANDROID_ABIS="arm64-v8a" BUILD_AAR_DIR=aar-out EXECUTORCH_BUILD_QNN=ON QNN_SDK_ROOT=/tmp/qnn/2.37.0.25072 EXECUTORCH_ANDROID_PROFILING=ON bash scripts/build_android_library.sh
+        PYTHON_EXECUTABLE=python ANDROID_ABIS="arm64-v8a" BUILD_AAR_DIR=aar-out EXECUTORCH_BUILD_QNN=ON QNN_SDK_ROOT=/tmp/qnn/2.37.0.250724 EXECUTORCH_ANDROID_PROFILING=ON bash scripts/build_android_library.sh
         mkdir -p extension/benchmark/android/benchmark/app/libs
         cp aar-out/executorch.aar extension/benchmark/android/benchmark/app/libs
         pushd extension/benchmark/android/benchmark