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I'd like to use cosmoGAN as a simple GAN benchmark tool for compute nodes with multiple GPUs.
I've implemented the basic multiGPU support, but the discriminator loss doesn't converge.

I don't know why, and before I muck with it more I thought I'd ask for help and give back some of my modifications.

The modifications that work make it easy to override the default arguments on the command line.
There is a new option to display progress to stdout instead of a file.

Wesley Emeneker and others added 5 commits August 15, 2018 16:45
End goal is multiGPU support via batch-splitting for data parallelization.
In the midst of understanding the code and averaging the split gradients
  so that the generator and discriminator learn the same things.
On the first round of training, some of the generator variables
 (h0_lin, biases, etc.) have None for gradients.
I'm not sure why, or if that will change.
Now it is easy to change the defaults.
@nevermindewe
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@MustafaMustafa , I wanted to ping you to see when you'll have time to look at this.

Thanks.

@nevermindewe
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@MustafaMustafa - This should be much easier to look at.

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