Add Dockerfile

[MannyKayy]

Dockerfile for chainermn

[keisukefukuda]

First of all, we really appreciate your contribution.We don't have access to Docker- & GPU-enabled machine so we cannot test it right now. It may take some time until we merge your PR. I'm sorry about that.

[keisukefukuda]

Could you add a note that this dockerfile does not support fast interconnect? like:

If you run ChainerMN on mutiple computing nodes, we strongly
recommend to use high speed interconnect such as Infiniband
or OmniPath to obtain maximum performance of ChainerMN.

because to obtain the best performance shown in Takuya in GTC'17, fast interconnect is a must.

[MannyKayy]

Alright, note has been added

[keisukefukuda]

Thanks!

[keisukefukuda]

Well, we don’t back any group in the Editor War ;)

[pksorensen]

Hi @MannyKayy

I am trying out parts of this docker file for chainercv, and

>>> from chainercv.links import FasterRCNNVGG16, SSD300
>>> model = SSD300(pretrained_model='voc0712')
Downloading ...
From: https://github.com/yuyu2172/share-weights/releases/download/0.0.3/ssd300_voc0712_2017_06_06.npz
To: /home/chainer/.chainer/dataset/_dl_cache/39be0d7ab69efbab2387ccbf556b7e8d
  %   Total    Recv       Speed  Time left
100   93MiB   93MiB    123KiB/s    0:00:00/opt/conda/lib/python3.6/site-packages/chainercv/links/model/ssd/ssd_vgg16.py:245: RuntimeWarning: cv2 is not installed on your environment. Pretrained models are trained with cv2. The performace may change with Pillow backend.
  RuntimeWarning)

Any idea how opencv 2 should be added to the docker file?

[MannyKayy]

@pksorensen opencv is abit messy to deal with. I created a bash script that works with my personal development environment. Feel free to fork.

[keisukefukuda]

Can one of the admins verify this patch?

[keisukefukuda]

ChainerMN support on k8s is now ongoing. Please refer to https://chainer.org/general/2018/05/10/chainermn-on-kubernetes.html