Micromamba环境准备

1# Chosen version 1.5.8-jammy-cuda-11.8.0 at this time.
2docker pull mambaorg/micromamba:1.5.8-jammy-cuda-11.8.0

 1# Base micromamba image
 2FROM mambaorg/micromamba:1.5.8-jammy-cuda-11.8.0
 3
 4ARG ROCKSOLID_USER=rocksolid
 5ARG ROCKSOLID_UID=1000
 6ARG ROCKSOLID_GID=100
 7
 8USER root
 9
10RUN usermod "--login=${ROCKSOLID_USER}" "--home=/home/${ROCKSOLID_USER}" --move-home "-u ${ROCKSOLID_UID}" "${MAMBA_USER}" && \
11    groupmod "--new-name=${ROCKSOLID_USER}" --non-unique "-g ${ROCKSOLID_GID}" "${MAMBA_USER}" && \
12    # Update the expected value of MAMBA_USER for the
13    # _entrypoint.sh consistency check.
14    echo "${ROCKSOLID_USER}" > "/etc/arg_mamba_user" && \
15    :
16ENV MAMBA_USER=$ROCKSOLID_USER
17ENV USER=$ROCKSOLID_USER
18
19RUN apt-get update && apt-get upgrade -y && \
20    apt-get install -y --no-install-recommends sudo wget curl unzip git build-essential nano less ssh && \
21    # We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly.
22    DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \
23    chmod g+w /etc/passwd && \
24    echo "ALL    ALL=(ALL)    NOPASSWD:    ALL" >> /etc/sudoers && \
25    touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \
26    apt clean
27
28USER $MAMBA_USER
29
30WORKDIR "/home/${ROCKSOLID_USER}"
31
32# Base python version will be 3.11
33RUN micromamba install -y -n base -c conda-forge \
34               python=3.11 \
35               conda \
36               jupyterlab=4.1.6 \
37               ipywidgets \
38               jupyterlab-lsp \
39               python-lsp-server \
40               matplotlib \
41               pandas=2.1.4 \
42               numpy=1.26.4 \
43               && \
44    micromamba clean --all --yes
45
46ENV SHELL=/bin/bash
47ENV EDITOR="nano"

1# Image size may around 2GB
2docker build -t rocksolid-micromamba:1.5.8 .

1# Shell works
2docker run -ti --rm -p 28888:8888 rocksolid-micromamba:1.5.8 /bin/bash
3# Jupyterlab works, access jupyterlab from web browser http://localhost:28888
4docker run -d \
5           --name rocksolid-micromamba-1.5.8 \
6           -p 28888:8888 \
7           rocksolid-micromamba:1.5.8 jupyter-lab --no-browser --ip=0.0.0.0

 1# Base micromamba image
 2FROM mambaorg/micromamba:1.5.8-jammy-cuda-11.8.0
 3
 4ARG ROCKSOLID_USER=rocksolid
 5ARG ROCKSOLID_UID=1000
 6ARG ROCKSOLID_GID=100
 7
 8USER root
 9
10RUN usermod "--login=${ROCKSOLID_USER}" "--home=/home/${ROCKSOLID_USER}" --move-home "-u ${ROCKSOLID_UID}" "${MAMBA_USER}" && \
11    groupmod "--new-name=${ROCKSOLID_USER}" --non-unique "-g ${ROCKSOLID_GID}" "${MAMBA_USER}" && \
12    # Update the expected value of MAMBA_USER for the
13    # _entrypoint.sh consistency check.
14    echo "${ROCKSOLID_USER}" > "/etc/arg_mamba_user" && \
15    :
16ENV MAMBA_USER=$ROCKSOLID_USER
17ENV USER=$ROCKSOLID_USER
18
19RUN apt-get update && apt-get upgrade -y && \
20    apt-get install -y --no-install-recommends sudo wget curl unzip git build-essential nano less ssh && \
21    # We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly.
22    DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \
23    chmod g+w /etc/passwd && \
24    echo "ALL    ALL=(ALL)    NOPASSWD:    ALL" >> /etc/sudoers && \
25    touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \
26    apt clean
27
28USER $MAMBA_USER
29
30WORKDIR "/home/${ROCKSOLID_USER}"
31
32COPY global-gitconfig /home/${ROCKSOLID_USER}/.gitconfig
33
34ENV SHELL=/bin/bash
35ENV EDITOR="nano"

1# Create
2micromamba create -n autogluon_env -c conda-forge
3# Activation
4micromamba activate autogluon_env
5# Deactivation
6micromamba deactivate
7# Remove
8micromamba env remove -n autogluon_env

 1# Install some packages for environemnt autogluon_env
 2micromamba install -y -n autogluon_env -c conda-forge \
 3           python=3.11 \
 4           conda \
 5           jupyterlab=4.1.6 \
 6           ipywidgets \
 7           jupyterlab-lsp \
 8           python-lsp-server \
 9           matplotlib \
10           pandas=2.1.4 \
11           numpy=1.26.4
12micromamba clean --all --yes

1# Access jupyterlab from web browser http://localhost:28888
2jupyter-lab --no-browser --ip=0.0.0.0

1# Image size may around 750MB
2docker build -t rocksolid-micromamba-clean:1.5.8 -f ./Dockerfile-clean .

1# docker run
2docker run -ti \
3           --name rocksolid-micromamba-1.5.8 \
4           -p 38888:8888 \
5           rocksolid-micromamba-clean:1.5.8 /bin/bash

 1# Create autogluon environment of micromamba
 2micromamba create -n autogluon-works -c conda-forge
 3# Activation
 4micromamba activate autogluon-works
 5# Install dependancies
 6micromamba install -c conda-forge \
 7           python=3.11 \
 8           autogluon=1.1.1 \
 9           shap \
10           dask \
11           matplotlib \
12           pandas \
13           numpy \
14           jupyterlab \
15           ipywidgets \
16           jupyterlab-git \
17           jupyterlab-lsp \
18           python-lsp-server \
19           jupyter-dash
20           # jupyter-server-proxy
21# Caused by working dir at /home/rocksolid
22# Optional, gen ssh key
23ssh-keygen -t ed25519 -C "SSH-Key@micromamba.docker"
24# Checkout git repo
25git clone git@xx.com:xx/xx.git
26# Startup jupyterlab
27jupyter-lab --notebook-dir ~/ --no-browser --ip=0.0.0.0

1# When terminated bash by exit command, the container will be close, using below command for restart it.
2docker start -i rocksolid-micromamba-1.5.8

1# Image size over than 2.5GB
2docker pull public.ecr.aws/sagemaker/sagemaker-distribution:1.9.0-cpu

1docker run -d \
2           --name sagemaker-distribution-1.9.0 \
3           -p 28888:8888 \
4           public.ecr.aws/sagemaker/sagemaker-distribution:1.9.0-cpu jupyter-lab --no-browser --ip=0.0.0.0