all-gpu

Introduction

The all-gpu image contains required libraries/ framework for performing machine learning and deep learning on GPU environment.

19.10

System Environment

  • Python : 3.6
library version
chainer 6.4.0
cntk 2.7
cuda 10.0
keras 2.3.1
matplotlib 3.1.1
mxnet 1.5.1
numpy 1.17.2
onnx 1.6.0
opencv-python 4.0.1
pandas 0.25.1
scikit-learn 0.21.3
scipy 1.3.1
tensorflow 1.14.0
torch 1.2.0.dev20190805
torchvision 0.4.0

19.04

System Environment

  • Python : 3.6
library version
chainer 5.4.0
cntk-gpu 2.6
cuda 10.0
keras 2.2.4
matplotlib 3.0.3
mxnet-cu100 1.4.0.post0
numpy 1.16.2
opencv-python 4.0.1
pandas 0.24.2
scikit-learn 0.20.3
scipy 1.2.1
tensorflow-gpu 1.13.1
Theano 1.0.4
torch 1.0.1.post2
torchvision 0.2.2.post3

Pre-installed other Python Libraries

Click to expand

library version
abeja-sdk 0.X
abejacli 0.X
absl-py 0.7.1
asn1crypto 0.24.0
astor 0.7.1
attrs 19.1.0
backcall 0.1.0
bleach 3.1.0
Cerberus 1.2
certifi 2019.3.9
cffi 1.12.2
chardet 3.0.4
click 6.7
cloudpickle 0.8.1
contextlib2 0.5.5
cryptography 2.1.4
cupy 5.4.0
cycler 0.10.0
Cython 0.29.7
decorator 4.4.0
defusedxml 0.6.0
dm-sonnet 1.32
docker 2.5.1
docker-pycreds 0.4.0
entrypoints 0.3
enum34 1.1.6
fastrlock 0.4
filelock 3.0.10
future 0.17.1
gast 0.2.2
graphviz 0.10.1
grpcio 1.20.0
h5py 2.9.0
horovod 0.16.1
idna 2.8
imageio 2.5.0
ipykernel 5.1.0
ipython 7.4.0
ipython-genutils 0.2.0
ipywidgets 7.4.2
jedi 0.13.3
Jinja2 2.10.1
jsonschema 3.0.1
jupyter 1.0.0
jupyter-client 5.2.4
jupyter-console 6.0.0
jupyter-contrib-core 0.3.3
jupyter-contrib-nbextensions 0.5.1
jupyter-core 4.4.0
jupyter-highlight selected-word 0.2.0
jupyter-latex-envs 1.4.6
jupyter-nbextensions configurator 0.4.1
keyring 10.6.0
keyrings.alt 3.0
kiwisolver 1.0.1
Lasagne 0.2.dev1
leveldb 0.194
lxml 4.3.3
Mako 1.0.9
Markdown 3.1
MarkupSafe 1.1.1
mistune 0.8.4
mock 2.0.0
nbconvert 5.4.1
nbformat 4.4.0
networkx 2.3
nose 1.3.7
notebook 5.7.8
onnx 1.4.1
pandocfilters 1.4.2
parso 0.4.0
pbr 5.1.3
pexpect 4.7.0
pickleshare 0.7.5
Pillow 6.0.0
pip 19.0.3
prometheus client 0.6.0
prompt-toolkit 2.0.9
protobuf 3.7.1
psutil 5.6.1
ptyprocess 0.6.0
pycparser 2.19
pycrypto 2.6.1
Pygments 2.3.1
pygobject 3.26.1
pygpu 0.7.6
pyparsing 2.4.0
pyrsistent 0.14.11
python-apt 1.6.3+ubuntu1
python-dateutil 2.8.0
python-distutils-extra 2.39
python-gflags 3.1.2
pytz 2019.1
PyWavelets 1.0.3
pyxdg 0.25
PyYAML 5.1
pyzmq 18.0.1
qtconsole 4.4.3
requests 2.21.0
retrying 1.3.3
ruamel.yaml 0.15.92
scikit-image 0.15.0
SecretStorage 2.3.1
semantic-version 2.6.0
Send2Trash 1.5.0
setuptools 41.0.0
six 1.12.0
tensorboard 1.13.1
tensorflow-estimator 1.13.0
tensorflow-probability 0.6.0
termcolor 1.1.0
terminado 0.8.2
testpath 0.4.2
tornado 6.0.2
tqdm 4.31.1
traitlets 4.3.2
typing 3.6.6
typing-extensions 3.7.2
urllib3 1.24.2
wcwidth 0.1.7
webencodings 0.5.1
websocket-client 0.56.0
Werkzeug 0.15.2
wheel 0.33.1
widgetsnbextension 3.4.2
wrapt 1.11.1

abeja-sdk and abejacli are updating to the latest version at any time without losing compatibility.

18.10

This version of image is deprecated. It is expected to be discontinued soon.

System Environment

  • Python : 3.6

Pre-installed Python Libraries

library version
abejamodelcore 1.0.5
abeja-sdk 0.7.0
abejacli 0.17.11
chainer 4.5.0
cntk 2.6
cuda 9.0
keras 2.2.4
matplotlib 3.0.0
mxnet 1.3.0
numpy 1.14.2
opencv-python 3.3.0
pandas 0.23.4
scikit-learn 0.20.0
scipy 1.1.0
tensorflow-gpu 1.11.0
Theano 1.0.3
torch 1.0.0

abeja-sdk and abejacli are version fixed and will not be updated except for bug fixes.

Updated on 25 Oct 2018