Jetson Nano Setup

This is a Quick Start for Jetson Nano.

Board used in this article is Jetson Nano 2GB.

Setup

Overview

Write Image to microSD Card

1. Download Jetson Nano 2GB Developer Kit SD Card Image

2. Write image to microSD with Etcher

First Boot

1. Insert the microSD card
2. Set the developer kit on a non-conductive surface
3. Connect monitor, keyboard, mouse and USB-C power supply (5V⎓3A)
4. Boot and setup

Pytorch

PyTorch pip wheels

Will install PyTorch v1.10.0 since the image is embedded with JetPack 4.6.

Installation

1. Install pip3

   1	sudo apt install python3-pip

2. Install Pytorch

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   wget https://nvidia.box.com/shared/static/fjtbno0vpo676a25cgvuqc1wty0fkkg6.whl -O torch-1.10.0-cp36-cp36m-linux_aarch64.whl sudo apt-get install python3-pip libopenblas-base libopenmpi-dev pip3 install Cython pip3 install numpy torch-1.10.0-cp36-cp36m-linux_aarch64.whl

3. Install torchvision

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   sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev git clone --branch v0.11.1 https://github.com/pytorch/vision torchvision cd torchvision export BUILD_VERSION=0.11.1 python3 setup.py install --user cd ../

Verification

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python3

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import torch
print(torch.__version__)
print('CUDA available: ' + str(torch.cuda.is_available()))
print('cuDNN version: ' + str(torch.backends.cudnn.version()))
a = torch.cuda.FloatTensor(2).zero_()
print('Tensor a = ' + str(a))
b = torch.randn(2).cuda()
print('Tensor b = ' + str(b))
c = a + b
print('Tensor c = ' + str(c))
import torchvision
print(torchvision.__version__)

Tensorflow

Installation

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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 apt-get install python3-pip
pip3 install -U --no-deps numpy==1.19.4 future==0.18.2 mock==3.0.5 keras_preprocessing==1.1.2 keras_applications==1.0.8 gast==0.4.0 protobuf pybind11 cython pkgconfig
sudo env H5PY_SETUP_REQUIRES=0 pip3 install -U h5py==3.1.0
pip3 install -U pip testresources setuptools==49.6.0 
pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v46 tensorflow

Verification

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python3

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import tensorflow

Reference

1. Zhihu - Jetson Nano 快速入门
2. NVIDIA Developer - Getting Started with Jetson Nano 2GB Developer Kit