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* Added Flatbuffers dependency to android-nn-driver
* Added CacheLoadedNetwork options to android-nn-driver
Options will be android.hardware.neuralnetworks@1.3-service-armnn -v -c GpuAcc -n arm-armnn -s -q <file_path> &
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I2cdf0b84062cb1c6ad4346cd64b00161cfe85920
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* Added -a command line option to enable fast_math on Neon/CL when launching the NNAPI driver
* The invocation will look something like:
/vendor/bin/hw/android.hardware.neuralnetworks@1.3-service-armnn -v -c GpuAcc -n arm-armnn -a
* Enabling fast_math may cause an increase in VTS or CTS test failures due to a change in precision
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ifd8931f95efd65d3ae3aca9d9d61bd381e4e24a5
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* Add model priority to ArmnnPreparedModel_1_3
* Add RequestThread_1_3 to allow execution based on priority
* Add RETIRE_RATE to Android.mk to be able to configure the retire rate
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ic5f4309249b744c2a8f625c986eede381a26028b
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I13be6896dd313bfeaf2f6b08ce0e47116116c3c0
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* Add new 1.3 files HalPolicy, ArmnnDriver, ArmnnDriverImpl
* Add new .rc file for 1.3 service
* Add ArmnnPreparedModel_1_3 and implement new functions
* Update Android.mk with 1.3 driver and service
* Refactor ifdef to include ARMNN_ANDROID_NN_V1_3
* Create Utils getMainModel for new 1.3 Model Main Subgraph
* Use android Utils to convertToV1_X in ArmnnPrepapredModel_1_3
* Refactor HAL 1.2 convert functions into ConversionUtils_1_2.hpp
* Replace ArmnnBurstExecutorWithCache with call to ExecutionBurstServer
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I514069e9e1b16bcd1c4abfb5d563d25ac22d02e3
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