2018-11-12 22:39
ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at
http://www.mlpack.org/irc/
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swaingotnochill[ >
Ryan Curtin for the Example Zoo, GAN project, I thought about doing it in 3 levels...how about first designing the GAN for MNIST as you said, and then step up a level and see how the same model perform for Anime Faces and then fine tune it. And the final step can be to use the model after anime faces to test on Human Celeb Faces and see the results.And if there is enough time, we can also fine tune it. Your thoughts?
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swaingotnochill[ >
We can use a subset of it.
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06:23
<
ShahAnwaarKhalid >
Hey swaingotnochill, you may find the following PR useful for designing GAN for MNIST:
06:25
<
ShahAnwaarKhalid >
Also, you can find the code for CelebA in `dcgan_test.cpp.` It has been commented out due to large run-time.
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07:40
<
swaingotnochill[ >
Shah Anwaar Khalid That's some neat work..It will definitely be useful and considering the timeline, I can definitely try implementing all three.
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11:06
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swaingotnochill[ >
Ryan Curtin I made some changes in the draft according to the feedbacks. If you have some spare time please go through the proposal final time. Thanks
11:08
<
swaingotnochill[ >
(edited) ... Curtin I made ... => ... Curtin @shrit made ...
11:49
<
OleksandrNikolsk >
Hi, I've shared a draft to,
11:49
<
OleksandrNikolsk >
looking forward for some feedback, if the time allows.
12:13
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RishabhGargGitte >
Hello @rcurtin @zoq, I have added some more tests in the proposal following your comments. Can you please take a look at it. I only made changes to the "Test Suites" section, so it might not take much time to review. Thanks a ton!
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18:11
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OleksandrNikolsk >
@jonpsy, how do you run the Ensmallen tests on your local machine?
18:13
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jonpsy[m] >
Oleksandr Nikolskyy , you in win64 or linux?
18:13
<
OleksandrNikolsk >
linux
18:13
<
jonpsy[m] >
Can you find ensmallen_test executable in build folder?
18:15
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jonpsy[m] >
Once you find it run ```./ensmallentest <write your test name for specific test>```
18:15
<
OleksandrNikolsk >
Ok, I see.
18:15
<
OleksandrNikolsk >
Once I built it
18:15
<
OleksandrNikolsk >
Tx👍
18:28
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jonpsy[m] >
I have a question, does ensmallen autgomagically rebases changes for us?
18:29
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jonpsy[m] >
And also, who's putting those Chuck Norris memes on travis CI. I'm loving them 😄
19:02
<
zoq >
DavidPortLouisGi: I left some comments.
19:04
<
zoq >
RishabhGargGitte: If you addressed the comments great.
19:12
<
zoq >
ImagineZero0Gitt: Thanks, just left some comments.
19:13
<
zoq >
jonpsy[m]: No automatic rebase.
19:16
<
zoq >
swaingotnochill[: I like the idea, I might still start with a simple example first, just to see how everything works and don't get too much frustrated if the GAN training dosn't work in the first run.
19:17
<
kaushal[m] >
hey zoq can we make Examples Zoo project in python ?
19:20
<
zoq >
kaushal[m]: Ideally the notebook uses the C++ API, in some cases we have the same notebook for C++ and Python. That said for some notebooks I used Python Bindings to call use Python libs inside C++, e.g. to produce plots.
19:22
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zoq >
the main part uses mlpack's KMeans implementation but to plot the dominat colors I use Python.
19:22
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jonpsy[m] >
<zoq "jonpsy: No automatic rebase."> I don't recall rebasing in NSGA2 but somehow the ArbitrarycheckAPI was present in my PR
19:25
<
zoq >
jonpsy[m]: That's a GitHub feature.
19:27
<
zoq >
jonpsy[m]: Let'swait for the windows build I guess :)
19:28
<
jonpsy[m] >
Yayyyy
19:30
<
kaushal[m] >
So while creating the audio clustering example I was thinking of using python to load the data and then after we get the amplitude array we can load it in mlpack using data::load function. will that be correct.
19:31
<
zoq >
kaushal[m]: That sounds fine to me.
19:31
<
kaushal[m] >
oh thankyou very much
19:32
<
kaushal[m] >
I will try to build a custom c++ .WAV file loader if I have time
19:49
<
rcurtin[m] >
I used to use libsndfile many years ago to load wav files; maybe there is a better library now but for the sake of an example, it seems like it's fine to use another library
19:53
<
OleksandrNikolsk >
if I add something to ensmallen, do I need to change some build-relevant files?
19:53
<
OleksandrNikolsk >
I see that cmakeLists builds the directory ensmalle_bits recursively, but when I start a test for my new method, it does not build any more.
19:54
<
OleksandrNikolsk >
I mean I added a new directory in `ensmallen_bits` and a new test in `tests`
19:57
<
kaushal[m] >
<rcurtin[m] "I used to use libsndfile many ye"> yeah its a good library even i was considering this library
19:57
<
jonpsy[m] >
Oleksandr Nikolskyy: you just need to update CMakeLists.txt. If you're creating a new directory you'll have to ```include_directory(my_directory)``` for your main ```CMakeLists.txt``` to acknowledge it. Ofcourse, this means you have to create ```CMakeLists.txt``` inside your ```my_directory``` so that the external(main) CMake can connect to it.
20:10
<
OleksandrNikolsk >
Thanks for the detailed explanation, but, hm, then why there's no CMAKELists inside other directories (eg ensmallen_bits/cmaes)
20:18
<
jonpsy[m] >
Ah wait, okay, since everything is a header file simple ```include_directory(cmaes) ```, in the main cmakelist would work.
20:18
<
jonpsy[m] >
But since tests contain .cpp file, it needs a separate cmakelist file. Got it?
20:22
<
OleksandrNikolsk >
Yes, tests are fine.
20:22
<
OleksandrNikolsk >
But I don't get it because there is no `include_directory`-directive in the code yet
20:25
<
jonpsy[m] >
Line 35 on CMakeList.txt (main directory)
20:45
<
OleksandrNikolsk >
@jonspy lol my fault was not seeing all the includes in `include/ensmallen_bits/ensmallen.hpp` because they were hidden automatically by the IDE.
20:45
<
OleksandrNikolsk >
I've added the new hpp file there and voila!
20:45
<
OleksandrNikolsk >
Thanks for support 🙂
20:46
<
OleksandrNikolsk >
(edited) @jonspy lol ... => @jonpsy lol ...
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