I previously created a jupyterlab environment using an existing docker image.
technoxs-stacker.hatenablog.com

I thought I might run pytrorch on jupyterlab in the future, so I created an image with jupyterlab installed based on the previous docker image.

abstract

how to building a jupyterlab environment that we can use pytorch in using Jetson Xavier NX and docker.

1.requirement

Jetson Xavier NX
ubuntu18.04
docker
python3.x

2.Creating a Dockerfile

FROM nvcr.io/nvidia/l4t-ml:r32.5.0-py3
RUN apt-get update && apt-get upgrade -y && apt-get clean
RUN apt-get -y install vim

RUN pip3 install --upgrade pip
RUN pip3 install --ignore-installed PyYAML
RUN pip3 install jupyterlab

ARG USERNAME=user
ARG GROUPNAME=user
ARG UID=1000
ARG GID=1000
ARG PASSWORD=xxxxxxxx
RUN groupadd -g $GID $GROUPNAME && \
    useradd -m -s /bin/bash -u $UID -g $GID -G sudo $USERNAME && \
    echo $USERNAME:$PASSWORD | chpasswd && \
    echo "$USERNAME   ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
USER $USERNAME

3.Creation of image

Create an image with the following command.

sudo docker build . -t xxxx

4.docker container startup

sudo docker run -v path/to/mount/:/mount/name/ -it --rm -p port:port --gpus all --name image_name  xxxx

some of the options used in this project are described
->Please refer to docker's official website for more information.

-v : Specify the directory you want to mount -p : Specify the port connecting the container to the machine --name : Specify the name of the container xxxx : Specify the created image

5.Starting jupyterlab

jupyter notebook --port [port number] --allow-root --ip 0.0.0.0

6.reference

qiita.com

こすたろーんエンジニアの試行錯誤部屋

作成物の備忘録を書いていきますー

Building a jupyterlab environment that we can use pytorch in using Jetson Xavier NX and docker

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