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diff --git a/applications/trustzone_inference/README.md b/applications/trustzone_inference/README.md new file mode 100644 index 0000000..32a7264 --- /dev/null +++ b/applications/trustzone_inference/README.md @@ -0,0 +1,79 @@ +# Arm Ethos-U TrustZone demonstration + +This application is provided as an example of how to use TrustZone to separate +the inference from an application layer in secure and nonsecure world. +This software is primarily intended for guidance, to demonstrate how the +firmware can be partitioned. + +### Building + +Building with default settings requires CMake for the configuration and make for +building. This will produce an elf file which can be run on the FVP. + +``` +$ cmake -B build targets/corstone-300 +$ make -C build trustzone +``` + +### ML Model and data +The model in this example has been generated from +``` + image_classification/mobilenet_v2_1.0_224/tflite_uint8 +``` +Found in the ARM ML-zoo open source github repository: +``` +https://github.com/ARM-software/ML-zoo.git +``` + +The model is converted using vela (v2.0.1) +``` +vela --cascading=True --config vela.ini --system-config=Ethos_U55_High_End_Embedded --memory-mode=Shared_Sram --accelerator-config=ethos-u55-128 --block-config-limit=0 ML-zoo/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/mobilenet_v2_1.0_224_quantized_1_default_1.tflite +``` +Where the vela.ini is fetched from the vela git repository: + +``` +wget https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela/+/refs/heads/master/vela.ini +``` + +Then the compiled model representation has been converted to a header file using xxd. + +``` +xxd -i output/mobilenet_v2_1.0_224_quantized_1_default_1_vela.tflite > model.h +``` + +The input and expected output data has been taken from the ML-zoo and generated +from the respective .npy files to header files with: +``` +python3 -c 'import numpy;i=numpy.load("ML-zoo/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/testing_input/input/0.npy");i.tofile("input.bin");' && xxd -i input.bin > input.h +``` + +``` +python3 -c 'import numpy;i=numpy.load("ML-zoo/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/testing_output/output/0.npy");i.tofile("output.bin");' && xxd -i output.bin > output.h +``` + +The generated header files are then modified to adapt name and link attributes. + +### Testing + +Assuming that the Corstone-300 FVP has been downloaded, installed and placed in +the PATH variable. Then the software binary can be tested like this. + +``` +$ ctest trustzone +``` + +Note! +The expected output using the input data is not bitexact. + +# License + +The Arm Ethos-U Core Platform is provided under an Apache-2.0 license. Please +see [LICENSE.txt](LICENSE.txt) for more information. + +# Contributions + +Please see [README](../../README.md) + +# Security + +Please see [Security](../../SECURITY.md). |