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Compile and deploy QNN models to S24 #5137

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Compile and deploy QNN models to S24 #5137

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1 change: 1 addition & 0 deletions .ci/scripts/test_model.sh
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Expand Up @@ -177,6 +177,7 @@ test_model_with_qnn() {
fi

# Use SM8450 for S22, SM8550 for S23, and SM8560 for S24
# TODO(guangyang): Make QNN chipset matches the target device
QNN_CHIPSET=SM8450

"${PYTHON_EXECUTABLE}" -m examples.qualcomm.scripts.${EXPORT_SCRIPT} -b ${CMAKE_OUTPUT_DIR} -m ${QNN_CHIPSET} --compile_only
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1 change: 1 addition & 0 deletions .github/workflows/android-perf.yml
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Expand Up @@ -105,6 +105,7 @@ jobs:
# Mapping devices to their corresponding device-pool-arn
declare -A DEVICE_POOL_ARNS
DEVICE_POOL_ARNS[samsung_galaxy_s22]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/e59f866a-30aa-4aa1-87b7-4510e5820dfa"
DEVICE_POOL_ARNS[samsung_galaxy_s24]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/98f8788c-2e25-4a3c-8bb2-0d1e8897c0db"

# Resolve device names with their corresponding ARNs
if [[ ! $(echo "$DEVICES" | jq empty 2>/dev/null) ]]; then
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