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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< AbhinavvermaGitt> Hii, @matrixbot can you please let me know, when meeting will happen next time? if it is fixed.
< AbhinavvermaGitt> @matrixbot And thanks error I was getting is solved now.
< jenkins-mlpack2> Project docker mlpack nightly build build #606: STILL UNSTABLE in 2 hr 55 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/606/
< zoq> Abhinavverma: The next meeting will be in two weeks, and is announced on the mailling list.
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< tejasvi[m]> zoq Why paddings are asked in the constructor of covolution layer only to be ignored later?
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< PrinceGuptaGitte> I have a question:
< PrinceGuptaGitte> If I have two arms matrices say x and y
< PrinceGuptaGitte> And I do y / x. The elements where x is 0 will become nan
< PrinceGuptaGitte> Can I avoid it without explicit loop(to sa e performance)
< PrinceGuptaGitte> Nevermind I figured it out just now, just when I gave up. Sorry for unnecessary bothering
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< LakshyaOjhaGitte> Hey I think that in my [pr](https://github.com/mlpack/mlpack/pull/2174) the checks are stuck somehow.
< LakshyaOjhaGitte> How do I restart them?
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< tejasvi[m]> zoq But later on, in 'valid' case it is set zero and for 'same' InitializeSamePadding() sets the padding using the formula.
< zoq> LakshyaOjha: Let me restart the build for you.
< zoq> tejasvi: Have to take a closer look.
< tejasvi[m]> zoq: Oh, got it now. I was ignoring 'none' padding
< LakshyaOjhaGitte> @zoq Thank you!
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< tejasvi[m]> What is indices() function doing here? Is it boost related? Closest I found is https://www.boost.org/doc/libs/1_66_0/boost/multi_array/index_gen.hpp which doesn't take any parameter.
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< jeffin143[m]> tejasvi : it's a variable and not a function
< jeffin143[m]> Armadillo use (i,j) to access elements , you can refere docs for more information
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< MrityunjayTripat> Hello zoq,
< MrityunjayTripat> Can you review this. <https://github.com/mlpack/mlpack/pull/2167>
< tejasvi[m]> jeffin143: Thanks. My language server somehow missed it.
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< PrinceGuptaGitte> Hi, I've fixed ISRU activation function to work correctly. No test cases are failing anymore. Also unused parameter warning has been fixed by actually making use of alpha. PR #2184
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< jonpsy[m]> Hey guys, I'm Sai. Pleased to meet y'all, looking forward to help! 😁
< LakshyaOjhaGitte> @zoq can you check the soft shrink activation function [pr](https://github.com/mlpack/mlpack/pull/2174) please.
< jeffin143[m]> @jonpsy : hi , welcome :)
< kartikdutt18Gitt> Hi @zoq, @rcurtin when you get a chance have look at https://github.com/mlpack/mlpack/pull/2178#issuecomment-583543802
< PrinceGuptaGitte> hi @kartikdutt18, In #2184 you mentioned that inverse may get division by zero. I thought of a way to avoid it rather than throwing fatal error. I replied, please look into it when you get time
< kartikdutt18Gitt> Sure I will take a look. Thanks.
< zoq> Mrityunjay: Hello, will take a look once I have a chance.
< zoq> Lakshya: Hello, will take a look once I have a chance.
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