# Wishful Coding

Didn't you ever wish your
computer understood you?

## Running Julia on the Lego Robot Inventor Hub

Someone asked if anyone had any experience interfacing Lego Mindstorms with Julia, and I was like this is right up my alley, so I got a little bit very much nerdsniped into making this work.

You see, the sensible thing would be to just run Julia on the EV3 which runs a full Linux, but the modern approach would be to run Julia on the Robot Inventor/Spike Prime Hub, which is an STM32 running a MicroPython firmware.

Here is the game plan. Lacking a MicroJulia implementation and the resources to write a completely custom firmware, we’re going to compile Julia functions into MicroPython extension modules and run them on PyBricks.

This way you can do all your fancy ControlSystems stuff in Julia, compile it to machine code, and then write some Python glue for the sensors and motors.

We’ll basically need to do 3 things

• Compile Julia into ARM machine code
• Link the machine code into an .mpy library
• Run said library on PyBricks

### Run native code on PyBricks

MicroPython has this whole page about how to write native modules in C and compile them into .mpy files. This should be easy!

So I just copied their factorial example, changed ARCH = armv7emsp, and ran make to end up with a sweet native .mpy module. Cool now just upload it. Oh. Anyway after some hacks I could use pybricksdev run ble test.py to upload a tiny test program:

import factorial
print("hello", factorial.factorial(4))


Except it threw ValueError: incompatible .mpy arch at me no matter what I tried. A little digging later, I found that I needed to enable MICROPY_EMIT_THUMB. But then I got a weird error in MicroPython, which I hacked around as well.

Then, a small victory: running C code! Now onto Julia.

### Compile Julia into ARM machine code

For the first part I used the amazing AVRCompiler.jl which ties into GPUCompiler.jl which ties into LLVM. Long story short, we can abuse the machinery Julia has for running a static subset of Julia on the GPU for generating machine code for other architectures.

All I did was compile Julia from source1 while adding ARM to the supported architectures, and changed the target triple in AVRCompiler to the one I found by by copying the CFLAGS from PyBricks and asking LLVM:

clang -print-effective-triple -mthumb -mtune=cortex-m4 -mcpu=cortex-m4 -mfpu=fpv4-sp-d16 -mfloat-abi=hard --target=arm-none-eabi
thumbv7em-none-unknown-eabihf


Once that is in place you can just do

using AVRCompiler

function factorial(x)
if x == 0
return 1
end
return x * factorial(x - 1)
end

obj = AVRCompiler.build_obj(factorial, (Int32,))
write("factorial.o", obj)



### Glueing it all together

So we have a way to run native .mpy modules, and we have a way to compile Julia functions to .o files. Now we just need some glue to link the object file into .mpy and make it accessible from MicroPython.

I basically took the factorial example, ripped out the factorial_helper and replaced it with extern int julia_factorial(int); and modified the Makefile to call my Julia script to generate the object file.

# Location of top-level MicroPython directory
MPY_DIR = ../pybricks-micropython/micropython
# Name of module
MOD = factorial
# Source files (.c or .py)
SRC = wrapper.c
SRC_O = factorial.o
# Architecture to build for (x86, x64, armv6m, armv7m, xtensa, xtensawin)
ARCH = armv7emsp
# Include to get the rules for compiling and linking the module
include $(MPY_DIR)/py/dynruntime.mk # Build .o from .jl source files %.o: %.jl$(CONFIG_H) Makefile
$(ECHO) "JL$<"
julia --project=. $<  This was all looking really promising until I ran make and was greeted by LinkError: factorial.o: undefined symbol: __aeabi_unwind_cpp_pr0  But, yolo, lemme just comment that out in mpy_ld.py and press on. This symbol appears to be related to exceptions and I don’t really care. $ pybricksdev run ble test.py
Searching for any hub with Pybricks service...
100%|████████████████████████████| 280/280 [00:00<00:00, 2.15kB/s]
hello 24


At last! Julia code running on the Lego hub! TODO: make cool demo

1. I used the release-1.9 branch of Julia for several reasons