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From "Junyou Chen (JIRA)" <j...@apache.org>
Subject [jira] [Issue Comment Deleted] (SINGA-397) Deployment Issues for Rafiki
Date Wed, 24 Oct 2018 08:37:00 GMT

     [ https://issues.apache.org/jira/browse/SINGA-397?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Junyou Chen updated SINGA-397:
------------------------------
    Comment: was deleted

(was: Hi Ngin!

I have another problem about making predictions. The attached is a screen shot for that.

Also, sometimes I run client-usage.py and find out that the training process lasts for a very
long time and gives out no error information. I tried to attribute this to the poor network
connecting. Would it be okay for me to download the datasets(MNIST) on my local machine and 
directly use it in training process?( Such as change the original code(in client-usage.py,
line14):

{color:#FF0000}TRAIN_DATASET_URI = '[https://github.com/cadmusthefounder/mnist_data/blob/master/output/fashion_train.zip?raw=true'|https://github.com/cadmusthefounder/mnist_data/blob/master/output/fashion_train.zip?raw=true%27]{color}

to the new code

TRAIN_DATASET_URI = ‘home/mnist/train_data/XXXXX’                     
)

By the way, it seems that {color:#FF0000}[https://github.com/cadmusthefounder/mnist_data/blob/master/output/fashion_train.zip?raw=true'|https://github.com/cadmusthefounder/mnist_data/blob/master/output/fashion_train.zip?raw=true%27]{color}

{color:#FF0000}{color:#333333}doesn't links to the original dataset of fashion-MNIST. What
are the difference between them? {color}
{color}

 )

> Deployment Issues for Rafiki
> ----------------------------
>
>                 Key: SINGA-397
>                 URL: https://issues.apache.org/jira/browse/SINGA-397
>             Project: Singa
>          Issue Type: Test
>         Environment: ubuntu 18, local machine
>            Reporter: Junyou Chen
>            Priority: Major
>         Attachments: 1.png, 2.png, 2018-10-24 12-59-04屏幕截图.png
>
>
> After I deployed Rafiki on my own machine by following the Quick Setup section in the
Developer Guide, I tried to run the $client-usage.py$ but failed(as picture 1 shows. system
halted with no feedback). Also, I followed several examples in the User Guide, but there are
still some problems(shown in picture 2).



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