[Add] Dockerfile

[ravinkohli]

This resolves issue #231. But it is an incomplete implementation. The rest has been raised as another issue #315.

[codecov]

Codecov Report

Merging #314 (cd57a92) into development (4a29852) will decrease coverage by 0.23%.
The diff coverage is n/a.

@@               Coverage Diff               @@
##           development     #314      +/-   ##
===============================================
- Coverage        82.09%   81.86%   -0.24%     
===============================================
  Files              151      151              
  Lines             8651     8651              
  Branches          1322     1322              
===============================================
- Hits              7102     7082      -20     
- Misses            1084     1104      +20     
  Partials           465      465              

Impacted Files	Coverage Δ
...eline/components/setup/optimizer/base_optimizer.py	71.42% <0.00%> (-19.05%)	⬇️
...abular_preprocessing/base_tabular_preprocessing.py	66.66% <0.00%> (-13.34%)	⬇️
...ne/components/setup/lr_scheduler/base_scheduler.py	86.20% <0.00%> (-6.90%)	⬇️
...up/network_initializer/base_network_initializer.py	93.54% <0.00%> (-6.46%)	⬇️
.../pipeline/components/setup/network/base_network.py	88.05% <0.00%> (-5.98%)	⬇️
...nts/setup/early_preprocessor/EarlyPreprocessing.py	85.71% <0.00%> (-5.72%)	⬇️
...reprocessing/feature_preprocessing/TruncatedSVD.py	89.65% <0.00%> (-3.45%)	⬇️
...peline/components/training/trainer/MixUpTrainer.py	97.14% <0.00%> (-2.86%)	⬇️
...omponents/training/data_loader/base_data_loader.py	90.54% <0.00%> (-2.71%)	⬇️
autoPyTorch/pipeline/components/base_component.py	80.95% <0.00%> (-1.91%)	⬇️
... and 2 more

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[nabenabe0928]

I think we should use any one of the docker images from here because some codes are assuming that we can use torch on CUDA. FYI, basically people use xxx-devel-xxx.

Additional reference here

[ravinkohli]

It's fine to use this ubuntu container for the dockerfile that we upload to the docker hub. I think the most general use case is to use CPU. If someone would like to use it with CUDA, it is quite easy for them to edit this file.

[nabenabe0928]

Btw, i don't think pynisher works properly when we use CUDA, but have you ever tried any runs on CUDA?

[ravinkohli]

Actually thats a good point. I'll create an issue and a subsequent PR where we can use docker to run all our tests on cuda. What do you think?

[nabenabe0928]

Sounds great:)