# Julia docker image for AWS Sagemaker Studio won't run

**URL:** <https://discourse.julialang.org/t/julia-docker-image-for-aws-sagemaker-studio-wont-run/83448>\
**Category:** General Usage\
**Created:** [June 28, 2022, 7:48am UTC](https://discourse.julialang.org/t/julia-docker-image-for-aws-sagemaker-studio-wont-run/83448 "2022-06-28T07:48:36Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![DataHacks](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/datahacks/32/33718_2.png) [@DataHacks](https://discourse.julialang.org/u/DataHacks)\
**Post date:** [June 28, 2022, 7:48am UTC](https://discourse.julialang.org/t/julia-docker-image-for-aws-sagemaker-studio-wont-run/83448/1 "2022-06-28T07:48:36Z")

</div>

Hi all,

I am trying to create a docker image for Julia that will run on AWS Sagemaker Studio, but it won’t even load an image terminal, run Julia command line, or the kernel in Studio. I have successfully created an image for R and run it on Sagemaker Studio using the instructions here [Amazon SageMaker](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-byoi-sdk-create-image.html). My docker file is edited from one given in the Jupyter docker repo:

```julia
FROM ubuntu:22.04

# Use bash rather than shell
# RUN rm /bin/sh && ln -s /bin/bash /bin/sh

ARG NB_USER="sagemaker-user"
ARG NB_UID="1000"
ARG NB_GID="100"

# Defaulting to 4
# ENV JULIA_NUM_THREADS=4
# RUN echo $JULIA_NUM_THREADS

RUN apt-get update && apt-get update
RUN apt-get -y install apt-utils

RUN apt-get -y install fonts-dejavu
RUN apt-get -y install tzdata
RUN apt-get -y install odbcinst1debian2 libodbc1 odbcinst unixodbc unixodbc-dev
RUN apt-get -y install curl libcurl4-openssl-dev libssl-dev libffi-dev libfontconfig1-dev libcairo2-dev pandoc
RUN apt-get -y install wget libxml2-dev
RUN apt-get -y install gcc g++ gfortran 

RUN apt-get -y install git
RUN apt-get -y install libopenblas-dev libnlopt-dev libpng-dev

# RUN apt-get install -y r-base r-base-dev r-cran-rodbc
RUN apt-get -y install llvm-dev libclang-dev

RUN apt-get -y install python3-dev python3-pip python3-venv

# Setup the "sagemaker-user" user with root privileges.
RUN apt-get install -y sudo && \
    useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
    chmod g+w /etc/passwd && \
    echo "${NB_USER} ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers && \
    # Prevent apt-get cache from being persisted to this layer.
    rm -rf /var/lib/apt/lists/*

USER $NB_UID

# Make the default shell bash (vs "sh") for a better Jupyter terminal UX
ENV SHELL=/bin/bash \
    NB_USER=$NB_USER \
    NB_UID=$NB_UID \
    NB_GID=$NB_GID \
    HOME=/home/$NB_USER \
    MINICONDA_VERSION=latest \
    CONDA_VERSION=4.13.0 \
    MINICONDA_MD5=7843dd7d0a2c53b0df37ca8189672992 \
    CONDA_DIR=/opt/conda \
    PATH=$CONDA_DIR/bin:${PATH}

# Heavily inspired from https://github.com/jupyter/docker-stacks/blob/master/r-notebook/Dockerfile

USER root

RUN apt-get update && \
    rm -rf /var/lib/apt/lists/* && \
    mkdir -p $CONDA_DIR && \
    chown -R $NB_USER:$NB_GID $CONDA_DIR && \
    ln -s /bin/tar /bin/gtar

USER $NB_UID

RUN pip3 install --upgrade pip
RUN pip3 install numpy scipy pandas pyodbc sklearn matrix_factorization pymc3 cryptography==3.2.0 snowflake-connector-python jupyterlab notebook voila

RUN pip install --quiet --no-cache-dir \
    'boto3' \
    'sagemaker'

RUN cd $HOME

# Installing conda in case it is required
RUN sudo wget -O conda.sh https://repo.anaconda.com/archive/Anaconda3-5.3.1-Linux-x86_64.sh
RUN sudo chmod +x conda.sh
RUN sudo bash conda.sh -b -p $HOME/conda
ENV PATH="$HOME/conda/bin:${PATH}"

# Installing Julia
RUN sudo mkdir $HOME/programs
RUN sudo wget -O $HOME/programs/julia.tar.gz "https://julialang-s3.julialang.org/bin/linux/x64/1.7/julia-1.7.3-linux-x86_64.tar.gz"
RUN sudo tar -xvzf $HOME/programs/julia.tar.gz -C $HOME/programs
RUN sudo mv $HOME/programs/julia-1.7.3 $HOME/programs/julia

RUN sudo rm $HOME/programs/julia.tar.gz

ENV PATH="$HOME/programs/julia/bin:${PATH}"
ENV PATH="$HOME/.local/bin:${PATH}"

WORKDIR $HOME
USER $NB_UID

# Start IJulia
RUN ["/bin/bash", "-c", "source $HOME/.profile"]
RUN $HOME/programs/julia/bin/julia -e "using Pkg; Pkg.add(\"IJulia\"); using IJulia; notebook(detached = true)"

```

I have also tried using the Jupyter Notebook on Sagemaker too using the method outlined here ([Jupyter julia notebook on Amazon AWS SageMaker](https://discourse.julialang.org/t/jupyter-julia-notebook-on-amazon-aws-sagemaker/75904/1)) but this doesn’t work either. I’m using Julia version 1.7.3. I get “unknown kernel” and it just hangs.

I have also tried installing Julia via conda but that hasn’t worked either.