-
Notifications
You must be signed in to change notification settings - Fork 1.3k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
tensorflow-2.9.0-cp39-none-linux_aarch64.whl is not a supported wheel on this platform #1150
Comments
@valueerrorx, |
RPi 4B .. and yes.. these are the instructions i follow.. |
@valueerrorx, |
it is aarch64 this is what i've tried:
okay.. this package is for 2.9.0 and the raspi runs 2.9.2.. but it's a .dot release.. shouldn break right? |
I've just tried this on my RPi with bullseye and it works without problems. What does (env5) pi@donkeypi:~/projects/donkeycar $ uname -a
Linux donkeypi 6.1.21-v8+ #1642 SMP PREEMPT Mon Apr 3 17:24:16 BST 2023 aarch64 GNU/Linux |
exactly the same... hmmm... i don't get it .. how can this be. wth did i miss |
Did you run the usual (env5) pi@donkeypi:~ $ pip list
Package Version Editable project location
-------------------------------- ------------ ---------------------------
absl-py 2.0.0
Adafruit-Blinka 8.25.0
adafruit-circuitpython-busdevice 5.2.6
adafruit-circuitpython-framebuf 1.6.4
adafruit-circuitpython-register 1.9.17
adafruit-circuitpython-requests 2.0.2
adafruit-circuitpython-rplidar 1.2.13
adafruit-circuitpython-ssd1306 2.12.15
adafruit-circuitpython-typing 1.9.5
Adafruit-GPIO 1.0.3
Adafruit-PCA9685 1.0.1
Adafruit-PlatformDetect 3.54.0
Adafruit-PureIO 1.1.11
arandr 0.1.10
astroid 2.5.1
asttokens 2.0.4
astunparse 1.6.3
automationhat 0.2.0
beautifulsoup4 4.9.3
blinker 1.4
blinkt 0.1.2
buttonshim 0.0.2
cachetools 5.3.2
Cap1xxx 0.1.3
certifi 2020.6.20
chardet 4.0.0
click 7.1.2
colorama 0.4.4
colorzero 1.1
cryptography 3.3.2
cupshelpers 1.0
dbus-python 1.2.16
distlib 0.3.6
distro 1.5.0
docopt 0.6.2
docutils 0.16
donkeycar 5.0.dev3 /home/pi/projects/donkeycar
drumhat 0.1.0
envirophat 1.0.0
ExplorerHAT 0.4.2
filelock 3.8.0
Flask 1.1.2
flatbuffers 1.12
fourletterphat 0.1.0
gast 0.4.0
google-auth 2.23.4
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
gpiozero 1.6.2
grpcio 1.59.3
h5py 3.10.0
html5lib 1.1
idna 2.10
importlib-metadata 6.8.0
isort 5.6.4
itsdangerous 1.1.0
jedi 0.18.0
Jinja2 2.11.3
keras 2.9.0
Keras-Preprocessing 1.1.2
lazy-object-proxy 0.0.0
libclang 16.0.6
logilab-common 1.8.1
lxml 4.6.3
Markdown 3.5.1
MarkupSafe 1.1.1
mccabe 0.6.1
microdotphat 0.2.1
mote 0.0.4
motephat 0.0.3
mypy 0.812
mypy-extensions 0.4.3
numpy 1.26.2
oauthlib 3.1.0
opt-einsum 3.3.0
packaging 23.2
paho-mqtt 1.6.1
pandas 2.1.3
pantilthat 0.0.7
parso 0.8.1
pexpect 4.8.0
pgzero 1.2
phatbeat 0.1.1
pianohat 0.1.0
picamera2 0.3.12
pidng 4.0.9
piexif 1.1.3
piglow 1.2.5
pigpio 1.78
Pillow 8.1.2
pip 23.2.1
platformdirs 2.5.4
prettytable 3.9.0
progress 1.6
protobuf 3.19.6
psutil 5.8.0
pyasn1 0.5.1
pyasn1-modules 0.3.0
pycairo 1.16.2
pycups 2.0.1
pyfiglet 1.0.2
pyftdi 0.55.0
pygame 1.9.6
Pygments 2.7.1
PyGObject 3.38.0
pyinotify 0.9.6
PyJWT 1.7.1
pylint 2.7.2
pynmea2 1.19.0
PyOpenGL 3.1.5
pyOpenSSL 20.0.1
PyQt5 5.15.2
PyQt5-sip 12.8.1
pyserial 3.5b0
pysmbc 1.0.23
python-apt 2.2.1
python-dateutil 2.8.2
python-prctl 1.7
pytz 2023.3.post1
pyusb 1.2.1
PyYAML 6.0.1
rainbowhat 0.1.0
reportlab 3.5.59
requests 2.25.1
requests-oauthlib 1.0.0
responses 0.12.1
roman 2.0.0
RPi.GPIO 0.7.0
rsa 4.9
RTIMULib 7.2.1
scrollphat 0.0.7
scrollphathd 1.2.1
Send2Trash 1.6.0b1
sense-hat 2.6.0
setuptools 68.2.2
simple-pid 2.0.0
simplejpeg 1.6.4
simplejson 3.17.2
six 1.16.0
skywriter 0.0.7
sn3218 1.2.7
soupsieve 2.2.1
spidev 3.5
ssh-import-id 5.10
tensorboard 2.9.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.9.0
tensorflow-estimator 2.9.0
tensorflow-io-gcs-filesystem 0.34.0
termcolor 2.3.0
thonny 4.0.1
toml 0.10.1
tornado 6.3.3
touchphat 0.0.1
twython 3.8.2
typed-ast 1.4.2
typing_extensions 4.8.0
tzdata 2023.3
unicornhathd 0.0.4
urllib3 1.26.5
utm 0.7.0
v4l2-python3 0.3.2
virtualenv 20.17.0
wcwidth 0.2.10
webencodings 0.5.1
Werkzeug 1.0.1
wheel 0.41.2
wrapt 1.12.1
zipp 3.17.0 |
yes i did upgrade everything. i did it three times already from scratch and strictly followed the documentation. it makes no sense to me.. that's why i gave up and tried the robocar image. everything works on this image. (except that i have this "waveshare piracer" and they provide their own completely outdated repository for donkey car and with the new version the throttle is not applied to the back motors of the car. but i think i need to open a new issue here for that problem |
I've just tried installing donkeycar for the first time (on a pi4 running bullseye 64bit), and have run into this issue as well. The list of packages in case it helps: (env) pi@pi:/ $ pip list arandr 0.1.10 |
I encountered the same problem, and I found a solution. I checked the information and found that RPI 4B+ is the version of Raspberry Pi Bookworm. It only supports versions of TensorFlow 2.14, 2.13, and 2.12. Later, after changing the version, it can be installed and used correctly. RPI 4B+ supports versions |
i explicitly used bullseye.. the problem is that in the python repos where pip is searching for tensorflow tf isnnissing completely. i've searched them manually.. so you installed bookworm and changed the tensorflow version in donkeycar to a supported higher version? i'm unsure if i can follow your explanation |
https://github.com/robocarstore/donkeycar-images my current workaround is flashing this image.. everything works out of the box. no need to install anything. |
I will keep on maintaining this image so pls feel free to report any issue using this image |
i try to follow the documentation from here.
i explicitly chose raspian bullseye (legacy) because it seems to be the only version that ist supported
the raspberry pi is a raspi 4b 4GB
https://docs.donkeycar.com/guide/robot_sbc/setup_raspberry_pi/
everything went fine until i tried to run the following command:
(env) pi@piracer:~/projects/donkeycar $ pip install -e .[pi]
it fails with:
it seems i can't find a way to install tensorflow inside of my virtual env
any ideas ?
thx in advance
The text was updated successfully, but these errors were encountered: