For my memorandum: sweat: It is a memo when creating an environment of Python + TensorFlow + Keras with Docker Compose (only one container). Please note that this is an article I made for myself, so it may be difficult to understand, information, and technology may be out of date: bow_tone1:
I used it as a reference: bow_tone1:
Ubuntu version$ cat /etc/os-release
NAME="Ubuntu"
VERSION="18.04.4 LTS (Bionic Beaver)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 18.04.4 LTS"
VERSION_ID="18.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=bionic
UBUNTU_CODENAME=bionic
Docker version$ docker version
Client: Docker Engine - Community
Version: 19.03.8
API version: 1.40
Go version: go1.12.17
Git commit: afacb8b7f0
Built: Wed Mar 11 01:25:46 2020
OS/Arch: linux/amd64
Experimental: false
Server: Docker Engine - Community
Engine:
Version: 19.03.8
API version: 1.40 (minimum version 1.12)
Go version: go1.12.17
Git commit: afacb8b7f0
Built: Wed Mar 11 01:24:19 2020
OS/Arch: linux/amd64
Experimental: false
containerd:
Version: 1.2.13
GitCommit: 7ad184331fa3e55e52b890ea95e65ba581ae3429
runc:
Version: 1.0.0-rc10
GitCommit: dc9208a3303feef5b3839f4323d9beb36df0a9dd
docker-init:
Version: 0.18.0
GitCommit: fec3683
Docker-Compose version$ docker-compose version
docker-compose version 1.25.5, build unknown
docker-py version: 4.2.0
CPython version: 3.7.4
OpenSSL version: OpenSSL 1.1.1c 28 May 2019
* For some reason build unknown. I gave up because it seemed to take time: sob: </ sup>
I make it properly for testing. .. ..
dk_ai_dir
├── Dockerfile
├── docker-compose.yml
├── requirements.txt
├── src1
docker-compose.yml
version: '3'
services:
dk_ai:
restart: always
build: .
container_name: 'dk_ai'
tty: true
volumes:
#Directory to mount
- .:/dk_ai_dir
ports:
#Host side port: Container side port
- 7000:7000
Dockerfile
FROM ubuntu:18.04
WORKDIR /dk_ai_dir
COPY requirements.txt /dk_ai_dir
RUN apt-get -y update \
&& apt-get -y upgrade \
&& apt-get install -y --no-install-recommends locales curl python3-distutils vim ca-certificates \
&& curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py \
&& python3 get-pip.py \
&& pip install -U pip \
&& localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8 \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* \
&& pip install -r requirements.txt --no-cache-dir
ENV LANG en_US.utf8
requirements.txt
Flask==1.1.0
gunicorn==19.9.0
Keras>=2.2.5
numpy==1.16.4
pandas==0.24.2
pillow>=6.2.0
python-dateutil==2.8.0
pytz==2019.1
PyYAML==5.1.1
requests==2.22.0
scikit-learn==0.21.2
sklearn==0.0
matplotlib==3.1.1
tensorboard>=1.14.0
tensorflow>=1.14.0
mecab-python3==0.996.2
$ docker-compose up -d --build
$ docker-compose images
Container Repository Tag Image Id Size
--------------------------------------------------------------
dk_ai dk_ai_dir_dk_ai latest 6f8b190eba7e 2.103 GB
Is it bad to make? It seems that the capacity is quite large: sweat: </ sup>
$ docker-compose ps
Name Command State Ports
--------------------------------------------------
dk_ai /bin/bash Up 0.0.0.0:7000->7000/tcp
$ docker-compose exec dk_ai /bin/bash
root@ddc90c65586d:/dk_ai_dir# pwd
/dk_ai_dir
I omitted some because the display of the output result is long: sweat: </ sup>
root@ddc90c65586d:/dk_ai_dir# pip3 list
Package Version
---------------------- -----------
absl-py 0.9.0
Flask 1.1.0
gunicorn 19.9.0
h5py 2.10.0
joblib 0.14.1
Keras 2.3.1
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
matplotlib 3.1.1
mecab-python3 0.996.2
numpy 1.16.4
pandas 0.24.2
Pillow 7.1.2
pip 20.1
pyparsing 2.4.7
python-dateutil 2.8.0
requests 2.22.0
rsa 4.0
scikit-learn 0.21.2
scipy 1.4.1
setuptools 46.3.0
sklearn 0.0
tensorboard 2.2.1
tensorboard-plugin-wit 1.6.0.post3
tensorflow 2.2.0
tensorflow-estimator 2.2.0
urllib3 1.25.9
wheel 0.34.2
$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
dk_ai_dir_dk_ai latest 6f8b190eba7e 29 minutes ago 2.1GB
webque-api-img latest d0aa942613bc 9 days ago 1.9GB
python 3 4f7cd4269fa9 2 weeks ago 934MB
ubuntu 18.04 c3c304cb4f22 2 weeks ago 64.2MB
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
ddc90c65586d dk_ai_dir_dk_ai "/bin/bash" 30 minutes ago Up 30 minutes 0.0.0.0:7000->7000/tcp dk_ai
860f6e3c6376 webque-api-img "/bin/bash" 8 days ago Up 2 days 0.0.0.0:8888->8888/tcp webqueapi
Things other than the one I made this time (dk_ai_dir_dk_ai) are the ones I made in the past. It seems that the capacity is quite large: sweat: </ sup>
$ docker-compose stop
Stopping dk_ai ... done
$ docker-compose ps
Name Command State Ports
----------------------------------
dk_ai /bin/bash Exit 0
$ docker-compose start
Starting dk_ai ... done
$ docker-compose ps
Name Command State Ports
--------------------------------------------------
dk_ai /bin/bash Up 0.0.0.0:7000->7000/tcp
* Reference material is as it is. See reference materials for details: bow_tone1: </ sup>
#Stop & delete
#Container network
docker-compose down
#Container network image
docker-compose down --rmi all
#Container network volume
docker-compose down -v
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