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< manish7294> rcurtin: zoq: Thanks! It means a lot to me :)
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< rcurtin> sure, have a great time :)
< Atharva> zoq: rcurtin: One of the tests passes on my system but it failed on travis by a small margin. Is this a common occurrence? If so what might be going wrong here?
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< Atharva> ShikharJ: Have you used Armadillo with gpu extension to train GAN models?
< ShikharJ> Atharva: No, I did not use bandicoot.
< zoq> Atharva: See https://github.com/mlpack/mlpack/issues/922 for more information, if the margin is small a simple solution is to slightly increase the tolerance.
< jenkins-mlpack> Project docker mlpack nightly build build #365: UNSTABLE in 3 hr 6 min: http://masterblaster.mlpack.org/job/docker%20mlpack%20nightly%20build/365/
< ShikharJ> zoq: I have tmux'd the builds for GAN, DCGAN and WGAN, on the latest code and when one of them is done, I'll also tmux a session for WGAN-GP. Meanwhile, could you please take a look at the PR when you get some time?
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< ShikharJ> zoq: It seems with the latest code, we need only about ~7 hours of training!
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