| # Arm NN Support Library Neural Networks driver |
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| This directory contains the Arm NN Support Library for the Android Neural Networks API. |
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| # Passing parameters to the support library runtime. |
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| The support library inherits it's parameters from the Arm NN Android Neural Networks driver. Parameters are passed to it through an environment variable, ARMNN_SL_OPTIONS. A full list of parameters are available ./canonical/DriverOptions.cpp. |
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| # Sample usage |
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| ## Running NeuralNetworksSupportLibraryTest |
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| This test suite takes as it's first argument the path to a shared object implementation of the support library. Any library dependencies should be resolvable through the LD_LIBRARY_PATH mechanism. Setting ARMNN_SL_OPTIONS will pass parameters to the Arm NN Support Library Neural Networks driver. |
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| Here we assume that Bash is the current shell and specify "-v" to enable verbose logging and "-c CpuAcc" to direct that the Neon(TM) accelerator be used. |
| ~~~ |
| ARMNN_SL_OPTIONS="-v -c CpuAcc" ./NeuralNetworksSupportLibraryTest ./libarmnn_support_library.so |
| ~~~ |
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| ## Running TfLite Benchmarking tool |
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| This tools' parameters are described [here](https://www.tensorflow.org/lite/performance/measurement). The support library specific parts are to specify the path to the library and to ensure that ARMNN_SL_OPTIONS is set in the environment. |
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| support for relaxed computation from Float32 to Float16" |
| ~~~ |
| ARMNN_SL_OPTIONS="-v -c GpuAcc -f" ./android_aarch64_benchmark_model --graph=./mymodel.tflite --num_threads=1 --use_nnapi=true --num_runs=1 --nnapi_support_library_path=./libarmnn_support_library.so --nnapi_accelerator_name=arm-armnn-sl |
| ~~~ |
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| ### License |
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| The Arm NN Support Library Neural Networks driver is provided under the [MIT](https://spdx.org/licenses/MIT.html) license. |
| See [LICENSE](LICENSE) for more information. Contributions to this project are accepted under the same license. |
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| Individual files contain the following tag instead of the full license text. |
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| SPDX-License-Identifier: MIT |
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| This enables machine processing of license information based on the SPDX License Identifiers that are available here: http://spdx.org/licenses/ |
