ChanServ changed the topic of #mlpack to: Due to ongoing spam on freenode, we've muted unregistered users. See http://www.mlpack.org/ircspam.txt for more information, or also you could join #mlpack-temp and chat there.
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< Shikhar>
zoq: I'll get to it today. I had shifted focus to the Convolution::Gradients() PR which is ready to be merged now.
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< Shikhar>
zoq: I tried for sometime, but I was unable to reproduce the error.
< Shikhar>
akhandait: Any luck with changing the approach to transposed convolutions, as mentioned earlier?
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< akhandait>
Shikhar: Yeah, it's done! I am just trying to run the tests again with corrected sizes from tensorflow and change some of the other tests accordingly
< akhandait>
Ther performance is really good, transposed conv forward pass time has been reduced by over 90%
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< zoq>
Shikhar: Thanks for the update, I'll see if I can reproduce the issue on dealgood.
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< Shikhar>
akhandait: Nice, let's see if the tests pass.
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< zoq>
Shikhar: Okay, I could reproduce the issue, the test is fine after all; but the ci service doesn't extract all necessary datasets (digits). https://github.com/mlpack/jenkins-conf/pull/12 should fix the issue.
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