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< jenkins-mlpack2> Project docker mlpack nightly build build #672: UNSTABLE in 3 hr 18 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/672/
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< himanshu_pathak[> Is something wrong with with with matrix? I was kicked out without any reason.
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< chopper_inbound[> Haha...what has happened to matrix? Playing football?🤣
< Manav-KumarGitte> Which version does the mlpack lab uses?
< zoq> version of mlpack?
< Manav-KumarGitte> mlpack 1.x or 2 or 3?
< zoq> Manav-KumarGitte: I used the master branch: bc4f4a12504f792a82226713da
< zoq> Manav-KumarGitte: Sat Mar 21 21:14:58
< rcurtin> himanshu_pathak[: chopper_inbound[: no idea, maybe just some kind of matrix hiccup... seems to be working now though?
< zoq> Manav-KumarGitte: I will update that one soon.
< zoq> Manav-KumarGitte: Also, mlpack::util::GetVersion() prints the version.
< Manav-KumarGitte> Ok, but using std::cout it's not printing anything in notebook
< zoq> Manav-KumarGitte: Hm, like what anything?
< Manav-KumarGitte> std::cout << "anystring";
< zoq> Manav-KumarGitte: Works for me, in a c=++ notebook?
< Manav-KumarGitte> Yeah i have opened C++ notebook
< Manav-KumarGitte> Also getting error on running mlpack::neighbor::NeighborSearch<NearestNeighborSort, ManhattanDistance> nn(data);
< zoq> WE are using the same docker image, so I don't think this has somethng to do with the jupyter env.
< Manav-KumarGitte> as
< zoq> Maybe it's a browser issue?
< zoq> Manav-KumarGitte: can you try a different name, like nSearch instead of nn?
< Manav-KumarGitte> Same error showing up
< zoq> Do you have each namespace in an extra cell?
< zoq> works for me
< Manav-KumarGitte> I have added all 3 namespace in one cell
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< kartikdutt18Gitt> They need to be in separate cells to work.
< zoq> Yeah, I think there is some issue with that.
< Manav-KumarGitte> It's working
< zoq> okay, good
< zoq> I could write a workaround for the namespace issue, but maybe there is already a solution for that, have to check.
< kartikdutt18Gitt> Hey zoq, for utils in models repo I have added the following dependencies : Libarchive, libcurl, cryptopp. Are these okay? I am finishing up tests for them now.
< kartikdutt18Gitt> > It's working
< kartikdutt18Gitt> Great.
< zoq> kartikdutt18Gitt: Hm, are those optional?
< zoq> kartikdutt18Gitt: And cryptopp is used for?
< kartikdutt18Gitt> I am using them for downloading, unzipping and running checksums. So if a user downloads a dataset or weights or model they will be needed.
< zoq> I wonder what cmake is using to do that.
< kartikdutt18Gitt> cryptopp is used for calculating checksums on files / strings. Similar to openssl (which I used earlier but it gives some error on OS Catalina).
< zoq> That seems like a lot of dependencies to download a bunch of files.
< kartikdutt18Gitt> I can check that too.
< kartikdutt18Gitt> Should I remove the checksum portion? That should remove cryptopp. And if we don't download zips we can remove libarchive as well.
< zoq> We currently use cmake to download ensmallen if not already installed.
< zoq> and that includes a checksum check as well
< zoq> if I remember right
< zoq> so if we use tar.gz or something we don't need libarchive?
< kartikdutt18Gitt> We would need libarchive to unzip during runtime. Earlier I was using `system(Command)` to do that, however rcurtin suggested that it might not work on windows.
< kartikdutt18Gitt> All dependencies are for downloading, unzipping and calculating checksums in run time.
< zoq> Looks like boost could decompress gzip files.
< zoq> And I guess they can crc as well?
< zoq> Maybe that is an alternative?
< zoq> Not sure, just thought since we already have a boost dependency it makes sense to use boost here as well.
< kartikdutt18Gitt> Yep, Just checked the docs for both of them. That makes more sense. I can switch to that.
< zoq> Haven't used any of those features, so not sure it will work.
< zoq> I guess, boost asio to download the file works as well?
< zoq> Or have some cmake files that we can call from c++ that does everything for us?
< zoq> Ideally we can keep the list of dependencies low.
< kartikdutt18Gitt> I can try them out, Hopefully they will work as well.
< kartikdutt18Gitt> * they what know they need.
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< pickle-rick[m]> Hey there! I had been bogged down with online exams and assignments at uni for the past couple of weeks. Phew.
< pickle-rick[m]> Anyways, I'd been going throught the split_by_any_of.hpp file in that mlpack uses to tokenize strings.
< pickle-rick[m]> Can anyone help me understanding what the following line does: `using MaskType = std::array<bool, 1 << CHAR_BIT>;`
< pickle-rick[m]> *understand
< pickle-rick[m]> I guess its the `1 << CHAR_BIT` part thats throwing me off
< rcurtin> pickle-rick[m]: that value is 1 shifted by CHAR_BIT bits
< rcurtin> so, that turns out to be equivalent to 2^CHAR_BIT
< pickle-rick[m]> ohhhh, because 1 gets shifted "CHAR_BIT" number of times
< pickle-rick[m]> I see. I understand now. Thanks
< v_bat> Hi, I've been having some issues getting segfaults for an ann model I'm working on, so far as I can tell the layers, inputs, and outputs are the appropriate sizes. Am I missing something when setting up the network?
< rcurtin> pickle-rick[m]: happy to help :)
< rcurtin> v_bat: sorry to hear that... what version of mlpack are you using? there were recently some fixes for memory handling, released as part of mlpack 3.3.0
< v_bat> Oh, that's it then since it's 3.2.2.
< rcurtin> also, how are you compiling your model? if you compile with, e.g., -DARMA_NO_DEBUG, it'll remove all Armadillo debugging, so you won't see any "incorrect matrix size" errors, just segfaults
< rcurtin> yeah... try 3.3.0 and see if that helps. if it doesn't, it might be easier to open an issue on Github? up to you
< v_bat> I'll open that issue if it persists after switching 3.3, thank you :)
< rcurtin> v_bat: sounds good, hopefully 3.3.0 fixes it :)
< v_bat> Hmm, it's still happening, though, I'm not sure if it's begun linking to the correct library yet
< v_bat> Hmm, yeah, it's 3.3
< kartikdutt18Gitt> Also an error that I ran into once was when input size reduces to a point in subsequent layers such that kernel size is greater than input size.
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< himanshu_pathak[> Hey, rcurtin: zoq When you get time can you please review https://github.com/mlpack/mlpack/pull/2324 . One more thing I want to I need to also test WGAN and WGANGP. Every layer is being tested except sequential layer and ADD merge layer. Also copy constructor of BRNN and RNN is also added.
< zoq> himanshu_pathak[: Nice, will take a look soon.
< himanshu_pathak[> * Hey, rcurtin: zoq When you get time can you please review https://github.com/mlpack/mlpack/pull/2324 . One more thing I want to I also need to test WGAN and WGANGP. Every layer is being tested except sequential layer and ADD merge layer. Also copy constructor of BRNN and RNN is also added.
< himanshu_pathak[> zoq: Thanks.