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From "Ngin Yun Chuan (JIRA)" <>
Subject [jira] [Commented] (SINGA-406) [Rafiki] Add POS tagging task & add GPU support (0.0.7)
Date Mon, 19 Nov 2018 04:33:00 GMT


Ngin Yun Chuan commented on SINGA-406:



Ok noted. If required, we will test on more CPU-only machines to ensure that the Nvidia Docker
container is compatible with any machine, even without GPU. I can run the full train-inference
flow on my Mac without GPU.


Currently, I've programmed Rafiki such that the base worker image at
installs only what Rafiki needs + `numpy==1.14.5`. 

Model developers have to additionally specify the ML libraries (with version numbers) they
need to PIP-installed with the `dependencies` option during model creation. These ML libraries
will be lazily installed. They will refer to the pages

I believe the current way I programmed aligns closely with what you said. The only difference
is that `scikit-learn` is currently not preinstalled. Also, singa might not be installable
now because it is programmed to use `pip install ...` instead of `conda install ...`.


Ok noted. It is like this now.

Let me know if the documentation is not clear for any specific aspects. 
The latest version is at

> [Rafiki] Add POS tagging task & add GPU support (0.0.7)
> -------------------------------------------------------
>                 Key: SINGA-406
>                 URL:
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: Ngin Yun Chuan
>            Priority: Major
> Refer to for details

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