Added Pytorch Cuda Docker Image as the Image pytorch/pytorch:1.0-cuda10.0-cudnn7-runtime in not having cuda so cannot used GPU

[MATRIX4284]

Added Pytorch Cuda Docker Image as the Image pytorch/pytorch:1.0-cuda10.0-cudnn7-runtime in not having cuda.So the examples/mnist.py is not using GPU.The issue is with the pytorch image .The new docker image i supplied is having the cuda dlevel and runtime environment which i tested and working like a breeze on GPU. The priginal mnist.py which was taking 10 -12 minutes on my double xeon 2670 is taking roughly 1 minute toi get completed using my Titan XP pascal series GPU.

This is the fix to the issue number #245

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[coveralls]

Coverage remained the same at 22.97% when pulling c42551774d8c575f883581c5daf4686a9322b0fc on MATRIX4284:master into 94197a2dc5be7f59b50add137892cc0a21fb599a on kubeflow:master.

[johnugeorge]

Can you move the docker file to https://github.com/kubeflow/pytorch-operator/tree/master/examples/mnist and rename it appropriately with mnist changes?

[MATRIX4284]

Can you move the docker file to https://github.com/kubeflow/pytorch-operator/tree/master/examples/mnist and rename it appropriately with mnist changes? Ideally it should be under examples not under mnist as this is a general pytorch gpu docker which will be used by all application not specific to mnist. It will be better if we keep it in a separate folder named pytorch docker .

[johnugeorge]

@MATRIX4284 Thanks for your contribution. I got your point. However, I feel that it is better not to keep it in the root folder as it is not related to pytorch operator. Hence I felt, keeping it in examples looks more appropriate. And users who want to try gpu version, can refer this example(even if it is a different use case)

[MATRIX4284]

I will move it under example folder in a folder named pytorch-gpu.Thanks for the guidance.

On Tue, 7 Jan 2020 at 12:15 PM, Johnu George notifications@github.com wrote:

@MATRIX4284 https://github.com/MATRIX4284 Thanks for your contribution. I got your point. However, I feel that it is better not to keep it in the root folder as it is not related to pytorch operator. Hence I felt, keeping it in examples looks more appropriate. And users who want to try gpu version, can refer this example(even if it is a different use case)

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[MATRIX4284]

I will move it under example folder in a folder named pytorch-gpu.Thanks for the guidance. … On Tue, 7 Jan 2020 at 12:15 PM, Johnu George @.***> wrote: @MATRIX4284 https://github.com/MATRIX4284 Thanks for your contribution. I got your point. However, I feel that it is better not to keep it in the root folder as it is not related to pytorch operator. Hence I felt, keeping it in examples looks more appropriate. And users who want to try gpu version, can refer this example(even if it is a different use case) — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#248?email_source=notifications&email_token=AE7YQAFGRP4DRJV4EK4WLBLQ4QQHFA5CNFSM4KCO56DKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEIH4JVY#issuecomment-571458775>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AE7YQAE2NQWGHPWCPJRINQTQ4QQHFANCNFSM4KCO56DA .

Opened the pr #255 with the docker under the examples folder