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From "wangwei (JIRA)" <>
Subject [jira] [Commented] (SINGA-406) [Rafiki] Add POS tagging task & add GPU support (0.0.7)
Date Mon, 19 Nov 2018 04:12:00 GMT


wangwei commented on SINGA-406:

# if nvidia docker images can run on cpu-only machines, then there is no problem. we just
need a single base worker image.
 # explanation of 'runtime': shall we configure the base worker image to only install small/necessary
libs? and let the worker container install the other model specific libs (configured by the
model contributor) when the job is started, i.e., at runtime. For example, we configure the
base worker image to install rafiki dependent libs and common model dependent libs like numpy
and scikit-learn. The model contributor can specify other dependent libs like singa, pytorch
etc. when he/she adds a new model. These libs are installed when theĀ  model is used in a
job. The model contributor can also provide the docker image directly (the name/tag) that
extends the base worker image.
 # we should not let the app developer to configure the container. they only need to prepare
the data and start the job.

> [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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