Add balrog

[Markusjsommer]

Describe your pull request here

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[dpryan79]

@mbargull How should we handle pytorch packages? There's an old pytorch-cpu in conda-forge but there are newer GPU-enabled versions in the defaults and pytorch channels. I wonder if we/conda-forge should work together with the pytorch folks so they use the conda-forge pinnings and we can then add the pytorch channel into the mix.

[mbargull]

Isuru is working on GPU-enabled PyTorch packages. A couple of days ago he and Mark Harfouche updated the CPU version.
I can't tell how long it's going to take to get the GPU one build; annoyingly, it takes so long to build that the CI times out...
cf: conda-forge/pytorch-cpu-feedstock#22 and conda-forge/pytorch-cpu-feedstock#7 (comment) ff

[dpryan79]

Let's hold-off on balrog until that's resolved if possible then.

[mbargull]

@BiocondaBot, please fetch artifacts

[BiocondaBot]

Package(s) built on CircleCI are ready for inspection:

Arch	Package	Repodata
linux-64	balrog-0.2.19-py37h8270d21_0.tar.bz2	repodata.json
osx-64	balrog-0.2.19-py37h5e6fd57_0.tar.bz2	repodata.json

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You may also use conda to install these:

• For packages on linux-64:

conda install -c https://134547-42372094-gh.circle-artifacts.com/0/tmp/artifacts/packages <package name>

• For packages on osx-64:

conda install -c https://134551-42372094-gh.circle-artifacts.com/0/tmp/artifacts/packages <package name>

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Docker image(s) built:

Package	Tag	Install with docker
balrog	0.2.19--py37h8270d21_0	show curl "https://134547-42372094-gh.circle-artifacts.com/0/tmp/artifacts/images/balrog%3A0.2.19--py37h8270d21_0.tar.gz" | gzip -dc | docker load

[mbargull]

LGTM, thanks for the contribution!

[mbargull]

@BiocondaBot, please merge

[BiocondaBot]

I will attempt to upload artifacts and merge this PR. This may take some time, please have patience.