old: cat /usr/include/cudnn.h | grep CUDNN_MAJOR -A 2
new: cat /usr/include/cudnn_version.h 

/usr/local/cuda/bin/nvcc -V

sudo nvpmodel -m 1
sudo tegrastats
sudo nvpmodel -q

sudo jetson_clocks 
power off after test

sudo systemctl restart nvargus-daemon

sudo -H pip3 install -U jetson-stats
reboot
call from terminal: jtop

sudo diskutil unmount /dev/diskxsy
sudo dd bs=1m if=/Users/.../jetson_451.img of=/dev/diskx

check with 	free -m
option 1
	check with: zramctl
	change divisor 2 -> 1 : sudo vi /etc/systemd/nvzramconfig.sh
option 2
	sudo systemctl disable nvzramconfig
	sudo fallocate -l 4G /mnt/4GB.swap
	sudo chmod 600 /mnt/4GB.swap
	sudo mkswap /mnt/4GB.swap
	sudo echo "/mnt/4GB.swap swap swap defaults 0 0" >> /etc/fstab

sudo systemctl set-default multi-user
# on with sudo systemctl set-default graphical.target

easy way: setup in in UI
nmcli connection show
sudo iw dev wlan0 set power_save off

maybe needed:  sudo chmod oua+rw /dev/input/event*
?? xbox controller bluetooth 
	sudo apt-get install xboxdrv

ssh-keygen -t ed25519 -C "<email address>"
git clone git@github.com:nico-klein/jetson-nano.git

see services/cooling_fan_service.py

maybe needed: sudo pip3 install Adafruit_SSD1306 Adafruit_GPIO
see services/oled_service.py

sudo apt install nodejs npm
sudo apt install python3-pip
sudo apt-get install libffi-dev
sudo pip3 install jupyter jupyterlab
sudo pip3 install traitlets ipywidgets smbus
sudo pip3 install evdev
DO NOT !!! sudo apt-get install python3-opencv
sudo apt-get install python3-matplotlib
pip3 install Cython
use remote (with no security !) :  jupyter notebook --no-browser --ip=0.0.0.0 --NotebookApp.token=''

[Unit]
After=network.service

[Service]
ExecStart=/usr/bin/sudo /home/jetbot/.local/bin/jupyter lab  --config=/home/jetbot/.jupyter/jupyter_notebook_config.py
??? Environment="PATH=/home/jetbot/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
User=jetbot
WorkingDirectory=/home/jetbot

[Install]
WantedBy=default.target

sudo systemctl enable jupyter.service 	# activate initial
sudo systemctl daemon-reload 			# only needed after changes 
sudo systemctl start jupyter.service 	# only needed after daemon-reload
systemctl status jupyter.service 		# show log

see https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html
sudo apt-get update
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo pip3 install -U pip testresources setuptools==49.6.0 
# ??? sudo pip3 install image
sudo pip3 install -U numpy==1.16.1 future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
check jetpack : sudo apt-cache show nvidia-jetpack (info: 09.06.2020 waa V44 / 22.02.2021 was V45) 
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow
test: python3 / import tensorflow. if crash with "Illegal instruction" =>
	export OPENBLAS_CORETYPE=ARMV8 (add in .bashrc)

# PyTorch v1.7 - torchvision v0.8.1  for jetpack 4.4 and higher
mkdir installs
cd installs
wget https://nvidia.box.com/shared/static/cs3xn3td6sfgtene6jdvsxlr366m2dhq.whl -O torch-1.7.0-cp36-cp36m-linux_aarch64.whl
sudo apt-get install libopenblas-base libopenmpi-dev 
pip3 install ?numpy? torch-1.7.0-cp36-cp36m-linux_aarch64.whl

sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev
git clone --branch release/0.8.0 https://github.com/pytorch/vision torchvision   # see below for version of torchvision to download
cd torchvision
export BUILD_VERSION=0.8.0  # where 0.x.0 is the torchvision version  
python3 setup.py install --user
# cd ../  # attempting to load torchvision from build dir will result in import error
# pip install 'pillow<7' # always needed for Python 2.7, not needed torchvision v0.5.0+ with Python 3.6

I use a normal jetson image and no setup from nvidia or waveshare 

pip3 install Adafruit_MotorHAT

mkdir nvidia
cd nvidia
git clone https://github.com/NVIDIA-AI-IOT/jetbot
# in notebooks opt: 	import sys	sys.path.append('../')

see https://www.waveshare.com/wiki/JetBot_AI_Kit
mkdir waveshare
cd waveshare
git clone https://github.com/waveshare/jetbot
# opt: cd jetbot and sudo python3 setup.py install
# in notebooks opt: 	import sys	sys.path.append('../')

# https://github.com/dusty-nv/jetson-inference/blob/master/docs/building-repo-2.md
sudo apt-get update
sudo apt-get install git cmake libpython3-dev python3-numpy
git clone --recursive https://github.com/dusty-nv/jetson-inference
cd jetson-inference
mkdir build
cd build
cmake ../
make -j$(nproc)
sudo make install
sudo ldconfig
# executables in jetson-inference/build/aarch64/bin

sudo docker images
sudo docker container list

pip3 install pandas requests


load images
	see https://ngc.nvidia.com/catalog/containers/nvidia:l4t-tensorflow
	tf : sudo docker pull nvcr.io/nvidia/l4t-tensorflow:r32.5.0-tf2.3-py3
	torch: sudo docker pull nvcr.io/nvidia/l4t-pytorch:r32.5.0-pth1.7-py3
start interactive
	sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-pytorch:r32.5.0-pth1.7-py3
start batch remote

# pytorch docker
# https://ngc.nvidia.com/catalog/containers/nvidia:l4t-pytorch
# sudo docker pull nvcr.io/nvidia/l4t-pytorch:r32.5.0-pth1.7-py3

do not use keys bus token to set only needed rights
git remote set-url origin https://<token>@github.com/nico-klein/jetson-nano.git