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Posted to dev@datalab.apache.org by "Vira Vitanska (Jira)" <ji...@apache.org> on 2021/06/30 08:32:00 UTC
[jira] [Updated] (DATALAB-2467) [GCP][DeepLearning] Find out if it
is possible to use simple example for library verification
[ https://issues.apache.org/jira/browse/DATALAB-2467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vira Vitanska updated DATALAB-2467:
-----------------------------------
Summary: [GCP][DeepLearning] Find out if it is possible to use simple example for library verification (was: [Deeplearning] Find out if it is possible to use simple example for library verification)
> [GCP][DeepLearning] Find out if it is possible to use simple example for library verification
> ---------------------------------------------------------------------------------------------
>
> Key: DATALAB-2467
> URL: https://issues.apache.org/jira/browse/DATALAB-2467
> Project: Apache DataLab
> Issue Type: Task
> Security Level: Public(Regular Issues)
> Components: DataLab Main
> Reporter: Vira Vitanska
> Assignee: Mykola Bodnar
> Priority: Minor
> Labels: Debian, DevOps, GCP
> Fix For: v.2.5
>
> Attachments: CNTK.png, CNTK2.png, template_caffe.ipynb, template_caffe2.ipynb, template_cntk.ipynb, template_mxnet.ipynb, template_torch.ipynb
>
>
> Investigate for next DeeLearning types:
> - pytorch-latest-gpu
> - rapids-latest-gpu-experimental
> - chainer-latest-gpu-experimental
> - xgboost-latest-gpu-experimental
> - mxnet-latest-gpu-experimental
> - cntk-latest-gpu-experimental
> - caffe1-latest-gpu-experimental
> (i)During CNTK testing the library CNTK is not found.
>
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