Awesome
ulab
ulab
is a numpy
-like array manipulation library for micropython and CircuitPython.
The module is written in C, defines compact containers (ndarray
s) for numerical data of one to four
dimensions, and is fast. The library is a software-only standard micropython
user module,
i.e., it has no hardware dependencies, and can be compiled for any platform. 8-, and 16-bit signed
and unsigned integer dtypes
, as well as float
, and, optionally, complex
are supported.
The float
implementation of micropython
(32-bit float
, or 64-bit double
) is automatically
detected and handled.
- Supported functions and methods
- Usage
- Finding help
- Benchmarks
- Firmware
- Issues, contributing, and testing
Supported functions and methods
ndarray methods
ulab
implements numpy
's ndarray
with the ==
, !=
, <
, <=
, >
, >=
, +
, -
, /
, *
, **
,
+=
, -=
, *=
, /=
, **=
binary operators, and the len
, ~
, -
, +
, abs
unary operators that
operate element-wise. Type-aware ndarray
s can be initialised from any micropython
iterable, lists of
iterables via the array
constructor, or by means of the arange
, concatenate
, diag
, eye
,
frombuffer
, full
, linspace
, logspace
, ones
, or zeros
functions.
ndarray
s can be sliced, and iterated on, and have a number of their own methods, and properties, such as flatten()
, itemsize
, reshape()
,
shape
, size
, strides
, tobytes()
, tolist()
, and transpose()
and T
. If the firmware is compiled with complex
support,
the imag
, and real
properties are automatically included.
numpy
and scipy
functions
In addition, ulab
includes universal functions, many numpy
functions, and functions from the numpy.fft
, numpy.linalg
, numpy.random
, scipy.linalg
, scipy.optimize
, scipy.signal
, and scipy.special
modules. A complete list of available routines can be found under micropython-ulab.
ulab
utilities
The utils
module contains functions for
interfacing with peripheral devices supporting the buffer protocol. These functions do not have an obvious
numpy
equivalent, but share a similar programming interface, and allow direct data input-output between
numerical arrays and hardware components.
user
module
User-defined functions operating on numerical data can easily be added via the user
module. This allows for transparent extensions, without having to change anything in the core. Hints as to how to work with ndarray
s at the C level can be found in the programming manual.
Usage
ulab
sports a numpy/scipy
-compatible interface, which makes porting of CPython
code straightforward. The following
snippet should run equally well in micropython
, or on a PC.
try:
from ulab import numpy
from ulab import scipy
except ImportError:
import numpy
import scipy.special
x = numpy.array([1, 2, 3])
scipy.special.erf(x)
Finding help
Documentation can be found on readthedocs under micropython-ulab, as well as at circuitpython-ulab. A number of practical examples are listed in Jeff Epler's excellent circuitpython-ulab overview. The tricks chapter of the user manual discusses methods by which RAM and speed can be leveraged in particular numerical problems.
Benchmarks
Representative numbers on performance can be found under ulab samples.
Firmware
Pre-built, and up-to-date firmware files for select platforms can be downloaded from micropython-builder.
Customising the firmware
If flash space is a concern, unnecessary functions can be excluded from the compiled firmware with
pre-processor switches. In addition, ulab
also has options for trading execution speed for firmware size.
A thorough discussion on how the firmware can be customised can be found in the
corresponding section
of the user manual.
Platforms including ulab
ulab
is also included in the following compiled micropython
variants and derivatives:
CircuitPython
for SAMD51 and nRF microcontrollers https://github.com/adafruit/circuitpythonMicroPython for K210
https://github.com/loboris/MicroPython_K210_LoBoMaixPy
https://github.com/sipeed/MaixPyOpenMV
https://github.com/openmv/openmvpimoroni-pico
https://github.com/pimoroni/pimoroni-pico
Compiling
If you want to try the latest version of ulab
on micropython
or one of its forks, the firmware can be compiled
from the source by following these steps:
UNIX port
Simply clone the ulab
repository with
git clone https://github.com/v923z/micropython-ulab.git ulab
and then run
./build.sh [matrix.dims] # Dimensions is 2 by default
This command will clone micropython
, and build the unix
port automatically, as well as run the test scripts. If you want an interactive unix
session, you can launch it in
ulab/micropython/ports/unix
STM-based boards
First, you have to clone the micropython
repository by running
git clone https://github.com/micropython/micropython.git
on the command line. This will create a new repository with the name micropython
. Staying there, clone the ulab
repository with
git clone https://github.com/v923z/micropython-ulab.git ulab
If you don't have the cross-compiler installed, your might want to do that now, for instance on Linux by executing
sudo apt-get install gcc-arm-none-eabi
If this step was successful, you can try to run the make
command in the port's directory as
make BOARD=PYBV11 USER_C_MODULES=../../../ulab all
which will prepare the firmware for pyboard.v.11. Similarly,
make BOARD=PYBD_SF6 USER_C_MODULES=../../../ulab all
will compile for the SF6 member of the PYBD series. If your target is unix
, you don't need to specify the BOARD
parameter.
Provided that you managed to compile the firmware, you would upload that by running either
dfu-util --alt 0 -D firmware.dfu
or
python pydfu.py -u firmware.dfu
In case you got stuck somewhere in the process, a bit more detailed instructions can be found under https://github.com/micropython/micropython/wiki/Getting-Started, and https://github.com/micropython/micropython/wiki/Pyboard-Firmware-Update.
ESP32-based boards
ulab
can be tested on the ESP32 in wokwi's micropython emulator without having to compile the C code. This utility also offers the possibility to save and share your micropython
code.
Firmware for Espressif
hardware can be built in two different ways, which are discussed in the next two paragraphs. A solution for issues with the firmware size is outlined in the last paragraph of this section.
Compiling with cmake
Beginning with version 1.15, micropython
switched to cmake
on the ESP32 port. If your operating system supports CMake > 3.12
, you can either simply download, and run the single build script, or follow the step in this section. Otherwise, you should skip to the next one, where the old, make
-based approach is discussed.
In case you encounter difficulties during the build process, you can consult the (general instructions for the ESP32)[https://github.com/micropython/micropython/tree/master/ports/esp32#micropython-port-to-the-esp32].
First, clone the ulab
, the micropython
, as well as the espressif
repositories:
export BUILD_DIR=$(pwd)
git clone https://github.com/v923z/micropython-ulab.git ulab
git clone https://github.com/micropython/micropython.git
cd $BUILD_DIR/micropython/
git clone -b v4.0.2 --recursive https://github.com/espressif/esp-idf.git
Also later releases of esp-idf
are possible (e.g. v4.2.1
).
Then install the ESP-IDF
tools:
cd esp-idf
./install.sh
. ./export.sh
Next, build the micropython
cross-compiler, and the ESP
sub-modules:
cd $BUILD_DIR/micropython/mpy-cross
make
cd $BUILD_DIR/micropython/ports/esp32
make submodules
At this point, all requirements are installed and built. We can now compile the firmware with ulab
. In $BUILD_DIR/micropython/ports/esp32
create a makefile
with the following content:
BOARD = GENERIC
USER_C_MODULES = $(BUILD_DIR)/ulab/code/micropython.cmake
include Makefile
You specify with the BOARD
variable, what you want to compile for, a generic board, or TINYPICO
(for micropython
version >1.1.5, use UM_TINYPICO
), etc. Still in $BUILD_DIR/micropython/ports/esp32
, you can now run make
.
Compiling with make
If your operating system does not support a recent enough version of CMake
, you have to stay with micropython
version 1.14. The firmware can be compiled either by downloading and running the build script, or following the steps below:
First, clone ulab
with
git clone https://github.com/v923z/micropython-ulab.git ulab
and then, in the same directory, micropython
git clone https://github.com/micropython/micropython.git
At this point, you should have ulab
, and micropython
side by side.
With version 1.14, micropython
switched to cmake
on the ESP32
port, thus breaking compatibility with user modules. ulab
can, however, still be compiled with version 1.14. You can check out a particular version by pinning the release tag as
cd ./micropython/
git checkout tags/v1.14
Next, update the submodules,
git submodule update --init
cd ./mpy-cross && make # build cross-compiler (required)
and find the ESP commit hash
cd ./micropython/ports/esp32
make ESPIDF= # will display supported ESP-IDF commit hashes
# output should look like: """
# ...
# Supported git hash (v3.3): 9e70825d1e1cbf7988cf36981774300066580ea7
# Supported git hash (v4.0) (experimental): 4c81978a3e2220674a432a588292a4c860eef27b
Choose an ESPIDF version from one of the options printed by the previous command:
ESPIDF_VER=9e70825d1e1cbf7988cf36981774300066580ea7
In the micropython
directory, create a new directory with
mkdir esp32
Your micropython
directory should now look like
ls
ACKNOWLEDGEMENTS CONTRIBUTING.md esp32 lib mpy-cross README.md
CODECONVENTIONS.md docs examples LICENSE ports tests
CODEOFCONDUCT.md drivers extmod logo py tools
In ./micropython/esp32
, download the software development kit with
git clone https://github.com/espressif/esp-idf.git esp-idf
cd ./esp-idf
git checkout $ESPIDF_VER
git submodule update --init --recursive # get idf submodules
pip install -r ./requirements.txt # install python reqs
Next, still staying in ./micropython/eps32/esd-idf/
, install the ESP32 compiler. If using an ESP-IDF version >= 4.x (chosen by $ESPIDF_VER
above), this can be done by running . $BUILD_DIR/esp-idf/install.sh
. Otherwise, for version 3.x, run the following commands in in .micropython/esp32/esp-idf
:
# for 64 bit linux
curl https://dl.espressif.com/dl/xtensa-esp32-elf-linux64-1.22.0-80-g6c4433a-5.2.0.tar.gz | tar xvz
# for 32 bit
# curl https://dl.espressif.com/dl/xtensa-esp32-elf-linux32-1.22.0-80-g6c4433a-5.2.0.tar.gz | tar xvz
# don't worry about adding to path; we'll specify that later
# also, see https://docs.espressif.com/projects/esp-idf/en/v3.3.2/get-started for more info
Finally, build the firmware:
cd ./micropython/ports/esp32
# temporarily add esp32 compiler to path
export PATH=../../esp32/esp-idf/xtensa-esp32-elf/bin:$PATH
export ESPIDF=../../esp32/esp-idf # req'd by Makefile
export BOARD=GENERIC # options are dirs in ./boards
export USER_C_MODULES=../../../ulab # include ulab in firmware
make submodules & make all
If it compiles without error, you can plug in your ESP32 via USB and then flash it with:
make erase && make deploy
What to do, if the firmware is too large?
When selecting BOARD=TINYPICO
, the firmware is built but fails to deploy, because it is too large for the standard partitions. We can rectify the problem by creating a new partition table. In order to do so, in $BUILD_DIR/micropython/ports/esp32/
, copy the following 8 lines to a file named partitions_ulab.cvs
:
# Notes: the offset of the partition table itself is set in
# $ESPIDF/components/partition_table/Kconfig.projbuild and the
# offset of the factory/ota_0 partition is set in makeimg.py
# Name, Type, SubType, Offset, Size, Flags
nvs, data, nvs, 0x9000, 0x6000,
phy_init, data, phy, 0xf000, 0x1000,
factory, app, factory, 0x10000, 0x200000,
vfs, data, fat, 0x220000, 0x180000,
This expands the factory
partition by 128 kB, and reduces the size of vfs
by the same amount. Having defined the new partition table, we should extend sdkconfig.board
by adding the following two lines:
CONFIG_PARTITION_TABLE_CUSTOM=y
CONFIG_PARTITION_TABLE_CUSTOM_FILENAME="partitions_ulab.csv"
This file can be found in $BUILD_DIR/micropython/ports/esp32/boards/TINYPICO/
. Finally, run make clean
, and make
. The new firmware contains the modified partition table, and should fit on the microcontroller.
RP2-based boards
RP2 firmware can be compiled either by downloading and running the single build script/build script for Pico W, or executing the commands below.
First, clone micropython
:
git clone https://github.com/micropython/micropython.git
Then, setup the required submodules:
cd micropython
git submodule update --init lib/tinyusb
git submodule update --init lib/pico-sdk
cd lib/pico-sdk
git submodule update --init lib/tinyusb
You'll also need to compile mpy-cross
:
cd ../../mpy-cross
make
That's all you need to do for the micropython
repository. Now, let us clone ulab
(in a directory outside the micropython repository):
cd ../../
git clone https://github.com/v923z/micropython-ulab ulab
With this setup, we can now build the firmware. Back in the micropython
repository, use these commands:
cd ports/rp2
make USER_C_MODULES=/path/to/ulab/code/micropython.cmake
If micropython
and ulab
were in the same folder on the computer, you can set USER_C_MODULES=../../../ulab/code/micropython.cmake
. The compiled firmware will be placed in micropython/ports/rp2/build
.
Compiling for CircuitPython
Adafruit Industries always include a relatively recent version of ulab
in their nightly builds. However, if you really need the bleeding edge, you can easily compile the firmware from the source. Simply clone circuitpython
, and move the commit pointer to the latest version of ulab
(ulab
will automatically be cloned with circuitpython
):
git clone https://github.com/adafruit/circuitpython.git
cd circuitpyton/extmod/ulab
# update ulab here
git checkout master
git pull
You might have to check, whether the CIRCUITPY_ULAB
variable is set to 1
for the port that you want to compile for. You find this piece of information in the make
fragment:
circuitpython/ports/port_of_your_choice/mpconfigport.mk
After this, you would run make
with the single BOARD
argument, e.g.:
make BOARD=mini_sam_m4
Issues, contributing, and testing
If you find a problem with the code, please, raise an issue! An issue should address a single problem, and should contain a minimal code snippet that demonstrates the difference from the expected behaviour. Reducing a problem to the bare minimum significantly increases the chances of a quick fix.
Feature requests (porting a particular function from numpy
or scipy
) should also be posted at ulab issue.
Contributions of any kind are always welcome. If you feel like adding to the code, you can simply issue a pull request. If you do so, please, try to adhere to micropython
's coding conventions.
However, you can also contribute to the documentation (preferably via the jupyter notebooks, or improve the tests.
Testing
If you decide to lend a hand with testing, here are the steps:
- Write a test script that checks a particular function, or a set of related functions!
- Drop this script in one of the folders in ulab tests!
- Run the ./build.sh script in the root directory of
ulab
! This will clone the latestmicropython
, compile the firmware forunix
, execute all scripts in theulab/tests
, and compare the results to those in the expected results files, which are also inulab/tests
, and have an extension.exp
. In case you have a new snippet, i.e., you have no expected results file, or if the results differ from those in the expected file, a new expected file will be generated in the root directory. You should inspect the contents of this file, and if they are satisfactory, then the file can be moved to theulab/tests
folder, alongside your snippet.