Feedback - Introduction to TinyML on Arm using PyTorch and ExecuTorch/Build a simple PyTorch model/Run the model on the Corstone-320 FVP

[NostalgiaJohn]

Type of issue

• Instructions in the learning path do not work.
• Spelling error in the learning path.
• Instructions in the learning path are hard to follow.
• Instructions to contribute a new learning path are not clear.
• Other

Describe the issue
This part use built ExecuTorch libraries without giving clear building instructions.

To Reproduce
Follow current instructions and you will encounter errors at step:

From the Arm Examples directory, you can build an embedded Arm runner with the .pte included. This allows you to optimize the performance of your model, and ensures compatibility with the CPU kernels on the FVP. Finally, generate the executable arm_executor_runner.

cd $HOME/executorch/examples/arm/executor_runner


cmake -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_TOOLCHAIN_FILE=$ET_HOME/examples/arm/ethos-u-setup/arm-none-eabi-gcc.cmake \
-DTARGET_CPU=cortex-m85 \
-DET_DIR_PATH:PATH=$ET_HOME/ \
-DET_BUILD_DIR_PATH:PATH=$ET_HOME/cmake-out \
-DET_PTE_FILE_PATH:PATH=$ET_HOME/simple_nn_arm_delegate_ethos-u85-256.pte \
-DETHOS_SDK_PATH:PATH=$ET_HOME/examples/arm/ethos-u-scratch/ethos-u \
-DETHOSU_TARGET_NPU_CONFIG=ethos-u85-256 \
-DPYTHON_EXECUTABLE=$HOME/executorch-venv/bin/python3 \
-DSYSTEM_CONFIG=Ethos_U85_SYS_DRAM_Mid  \
-B $ET_HOME/examples/arm/executor_runner/cmake-out

cmake --build $ET_HOME/examples/arm/executor_runner/cmake-out --parallel -- arm_executor_runner

Desktop (please complete the following information):

• OS: Ubuntu
• Version 22.04

Additional context
To fix this, refer to the . The quoted cmake command can be improved as well.

[NostalgiaJohn]

Correct: To fix this, refer to Arm Ethos-U NPU Backend Tutorial.