ulab
is a numpy
-like array manipulation library for micropython and CircuitPython.
The module is written in C, defines compact containers 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.
The float
implementation of micropython
(float
, or double
) is automatically detected.
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 iterated on, and have a number of their own methods, such as flatten
, itemsize
, reshape
,
shape
, size
, strides
, tobytes
, and transpose
.
In addition to the ndarray
operators and methods, ulab
defines a great number of functions that can
take ndarray
s or micropython
iterables as their arguments. Most of the functions have been ported from
numpy
, but several are re-implementations of scipy
features. In addition, the utils
module adds functions that
interface ndarray
s with peripheral devices. For a complete list, see
micropython-ulab!
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.
It is also possible to extend the library with arbitrary user-defined functions operating on numerical arrays, and add them to the namespace, as explained in the programming manual.
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)
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.
Representative numbers on performance can be found under ulab samples.
Compiled firmware for many hardware platforms can be downloaded from Roberto Colistete's
gitlab repository: for the pyboard, and
for ESP8266.
Since a number of features can be set in the firmware (threading, support for SD card, LEDs, user switch etc.), and it is
impossible to create something that suits everyone, these releases should only be used for
quick testing of ulab
. Otherwise, compilation from the source is required with
the appropriate settings, which are usually defined in the mpconfigboard.h
file of the port
in question.
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-picopycom
https://pycom.io/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:
Simply clone the ulab
repository with
git clone https://github.com/v923z/micropython-ulab.git ulab
and then run
./build.sh
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
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.
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=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
RP2 firmware can be compiled either by downloading and running the single build script, 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_MODULE=/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
.
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.
If you decide to lend a hand with testing, here are the steps:
ulab
! This will clone the latest micropython
, compile the firmware for unix
, execute all scripts in the ulab/tests
, and compare the results to those in the expected results files, which are also in ulab/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 the ulab/tests
folder, alongside your snippet.此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
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