S3 ストレージクラス

※ストレージ価格は2021/12 東京リージョン価格

Oracle

https://github.com/oracle/docker-images

1
2
3

git clone https://github.com/oracle/docker-images.git
cd docker-images/OracleDatabase/SingleInstance/dockerfiles
./buildDockerImage.sh -v 18.4.0 -x

1
2
3
4
5
6
7
8
9
10
11
12
13

version: '3.8'
services:

  db:
    image: oracle/database:18.4.0-xe
    ports:
      - 1521:1521
      - 5500:5500
    environment:
      - ORACLE_PWD=xxxxxxxxxxxx
    volumes:
      - ./db-data:/opt/oracle/oradata
      - ./db-script:/opt/oracle/scripts/setup

MariaDB

https://hub.docker.com/_/mariadb

1
2
3
4
5
6
7
8
9
10
11
12
13

version: '3'
services:

  mariadb:
    container_name: mariadb
    image: mariadb:10.5
    ports:
      - "3306:3306"
    environment:
      - MYSQL_ROOT_PASSWORD=xxxxxxxxxxxx
    volumes:
      - ./db-data:/var/lib/mysql
      - ./db-script:/docker-entrypoint-initdb.d

Microsoft SQL Server

https://hub.docker.com/_/microsoft-mssql-server

1
2
3
4
5
6
7
8
9
10
11
12
13
14

version: '3'
services:
  mssql:
    image: mcr.microsoft.com/mssql/server:2019-latest
    container_name: mssql
    ports:
      - "1433:1433"
    environment:
      - ACCEPT_EULA=Y
      - SA_PASSWORD=xxxxxxxxxxxx
      - MSSQL_PID=Developer
      - MSSQL_LCID=1041
      - MSSQL_COLLATION=Japanese_CI_AS

PostgreSQL

https://hub.docker.com/_/postgres

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32

version: '3'

services:

  postgres:
    build:
      context: .
      dockerfile: ./dockerfiles/postgresql/Dockerfile
      args:
        - DB_LANG=ja_JP
    image: postgres:13
    container_name: "postgres"
    ports:
      - "5432:5432"
    environment:
      POSTGRES_PASSWORD: xxxxxxxxxxxx
      POSTGRES_INITDB_ARGS: "--encoding=UTF-8 --locale=C"
    volumes:
      - ./db-data:/var/lib/postgresql/data
      - ./db-script:/docker-entrypoint-initdb.d

  pgadmin4:
      image: dpage/pgadmin4:latest
      container_name: pgadmin4
      ports:
          - "8000:80"
      environment:
          PGADMIN_DEFAULT_EMAIL: xxxxxxxxxxxx@xxxxxxxxxxxx
          PGADMIN_DEFAULT_PASSWORD: xxxxxxxxxxxx
      hostname: pgadmin4
      depends_on:
        - postgres

Redis

https://hub.docker.com/_/redis

1
2
3
4
5
6
7
8

version: '3'
services:
  redis:
    image: "redis:latest"
    ports:
      - "6379:6379"
    volumes:
      - "./data/redis:/data"

Alexnet

https://arxiv.org/abs/1404.5997

• torchvision.models.alexnet

VGG

https://arxiv.org/abs/1409.1556

• torchvision.models.vgg11

• torchvision.models.vgg11_bn

• torchvision.models.vgg13

• torchvision.models.vgg13_bn

• torchvision.models.vgg16

• torchvision.models.vgg16_bn

• torchvision.models.vgg19

• torchvision.models.vgg19_bn

ResNet

https://arxiv.org/abs/1512.03385

• torchvision.models.resnet18
• torchvision.models.resnet34
• torchvision.models.resnet50
• torchvision.models.resnet101
• torchvision.models.resnet152

SqueezeNet

https://arxiv.org/abs/1602.07360

• torchvision.models.squeezenet1_0
• torchvision.models.squeezenet1_1

DenseNet

https://arxiv.org/abs/1608.06993

• torchvision.models.densenet121
• torchvision.models.densenet169
• torchvision.models.densenet161
• torchvision.models.densenet201

Inception v3

https://arxiv.org/abs/1512.00567

• torchvision.models.inception_v3
  requires scipy to be installed

GoogLeNet

https://arxiv.org/abs/1409.4842

• torchvision.models.googlenet
  requires scipy to be installed

ShuffleNet v2

https://arxiv.org/abs/1807.11164

• torchvision.models.shufflenet_v2_x0_5
• torchvision.models.shufflenet_v2_x1_0
• torchvision.models.shufflenet_v2_x1_5
• torchvision.models.shufflenet_v2_x2_0

MobileNet v2

https://arxiv.org/abs/1801.04381

• torchvision.models.mobilenet_v2

MobileNet v3

https://arxiv.org/abs/1905.02244

• torchvision.models.mobilenet_v3_large
• torchvision.models.mobilenet_v3_small

ResNext

https://arxiv.org/abs/1611.05431

• torchvision.models.resnext50_32x4d
• torchvision.models.resnext101_32x8d

Wide ResNet

• torchvision.models.wide_resnet50_2
• torchvision.models.wide_resnet101_2

MNASNet

https://arxiv.org/abs/1807.11626

• torchvision.models.mnasnet0_5
• torchvision.models.mnasnet0_75
• torchvision.models.mnasnet1_0
• torchvision.models.mnasnet1_3

EfficientNet

https://arxiv.org/abs/1905.11946

• torchvision.models.efficientnet_b0
• torchvision.models.efficientnet_b1
• torchvision.models.efficientnet_b2
• torchvision.models.efficientnet_b3
• torchvision.models.efficientnet_b4
• torchvision.models.efficientnet_b5
• torchvision.models.efficientnet_b6
• torchvision.models.efficientnet_b7

RegNet

https://arxiv.org/abs/2003.13678

• torchvision.models.regnet_y_400mf
• torchvision.models.regnet_y_800mf
• torchvision.models.regnet_y_1_6gf
• torchvision.models.regnet_y_3_2gf
• torchvision.models.regnet_y_8gf
• torchvision.models.regnet_y_16gf
• torchvision.models.regnet_y_32gf
• torchvision.models.regnet_x_400mf
• torchvision.models.regnet_x_800mf
• torchvision.models.regnet_x_1_6gf
• torchvision.models.regnet_x_3_2gf
• torchvision.models.regnet_x_8gf
• torchvision.models.regnet_x_16gf

Git リモートリポジトリの移行

1
2
3

git clone --mirror <source>
cd <xxx.git>
git push --mirror <target>

http://caffe.berkeleyvision.org/

システムパッケージ更新

1
2
3
4

sudo apt-get update
sudo apt-get upgrade -y
sudo apt-get autoremove --purge -y
reboot

必須パッケージインストール

1
2
3
4
5
6

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev
sudo apt-get install libopencv-dev libboost-all-dev libhdf5-serial-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
sudo apt-get install protobuf-compiler
sudo apt-get install libatlas-base-dev libopenblas-dev

OpenCV3インストール

https://docs.opencv.org/3.4.16/d7/d9f/tutorial_linux_install.html

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18

#必須パッケージ
sudo apt-get install cmake libgtk2.0-dev pkg-config
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev
sudo apt-get install libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev

#ダウンロード
cd /tmp
wget https://github.com/opencv/opencv/archive/3.4.16.zip

#解凍
unzip 3.4.16.zip
cd  opencv-3.4.16

#ビルドインストール
mkdir build && cd build
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j8 && sudo make install

Caffeインストール

1
2
3
4
5
6
7
8
9
10
11
12

cd ~

#ダウンロード
wget https://github.com/BVLC/caffe/archive/refs/tags/1.0.zip

#解凍
unzip 1.0.zip
cd  caffe-1.0

#Makefile修正
mv Makefile.config.example Makefile.config
nano Makefile.config

OpenCVバージョン変更

1
2

# Ver 2 -> 3
OPENCV_VERSION := 3 

CUDA 11.4以降の場合3.5未満削除

1
2
3
4
5
6

CUDA_ARCH := -gencode arch=compute_35,code=sm_35 \
    -gencode arch=compute_50,code=sm_50 \
    -gencode arch=compute_52,code=sm_52 \
    -gencode arch=compute_60,code=sm_60 \
    -gencode arch=compute_61,code=sm_61 \
    -gencode arch=compute_61,code=compute_61

ATLASはマルチスレッドCPUを十分にサポートしていないため、行列演算ライブラリをOpenBLASに変更

1

BLAS := open

hdf5のヘッダー・ライブラリパス追加

1
2
3

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib \
                /usr/lib/x86_64-linux-gnu/hdf5/serial

ビルド、テスト、インストール

1

make all -j8 && make -j8 && make runtest -j8