#mlpack on 2021-05-25 — irc logs at libera.irclog.whitequark.org

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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07:00 < swaingotnochill[> Guys, does anyone have experience with serverless deployment of deep learning models? Like, I am working on a project and I have the exported model, but the final part which is deployment is killing me. I have zero knowledge. If you guys know which tools can be useful for deploying deep learning models in production, please do tell me.

07:02 < AvikantSrivasta4> swaingotnochill you can make an API and then host it to heroku with Gunicorn and Nginx.

07:02 < AvikantSrivasta4> The call it in your frontend

07:03 < AvikantSrivasta4> You can try our fast API or Flask, I'd recommend fast API because it supports async operation

07:04 < swaingotnochill[> I am looking for a more production level framework where I can manage all pipelines for processing and inference.....don't know if fast api does have the support

07:04 < AvikantSrivasta4> (edited) ... heroku with ... => ... heroku or EC2 or any VM with ...

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12:43 < ABHINAVANAND[m]> when adding test cases for bilinear interpolation layer, I came by a weird error. Initially the output was incorrect but if I put a `cout` just before it then it gives correct output. Not sure what is going on here. zoq

12:44 < rcurtin[m]> ABHINAV ANAND could it be invalid memory usage? maybe try running with valgrind and see what comes out?

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13:24 < jonpsy[m]> zoq: Hi, so made a PR reg. the NSGA2 notebook. I've been thorough with the documentation, I've logged my questions in the PR I tagged you in. Let's merge ZDT and this notebook by the end of this week so that next week we can focus on Doge coin and MOEA/D-DE :)

13:28 < jeffin143[m]> 🥴

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13:48 < ABHINAVANAND[m]> Ryan Curtin When I removed using set_size then it started to work fine. Do you know why did set_size cause invalid memory usage.

13:48 < rcurtin[m]> perhaps you were shrinking the size of the matrix, and then trying to access past the end?

13:49 < rcurtin[m]> another thing you could do is configure CMake with `-DDEBUG=ON`, and then Armadillo invalid accesses will be reported

13:51 < rcurtin[m]> another useful thing, if you run valgrind, is to use the `--track-origins=yes` option, which will give you additional information about where memory was allocated and freed (especially useful for tracking down double-frees/etc.)

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14:27 < zoq> jonpsy[m]: Sounds good, interested to see if NSGAII thinks doge is a good investment.

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15:15 < jonpsy[m]> If NSGAII could speak, it'll most likely curse Elon Musk for creating the hype (btw Elon if you're reading this, pls dont let this affect my future TESLA applications ;D)

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17:48 < travis-ci> mlpack/examples#785 (master - f7d5241 : Marcus Edel): The build has errored.

17:48 < travis-ci> Change view : https://github.com/mlpack/examples/compare/653272813857...f7d524106c17

17:48 < travis-ci> Build details : https://travis-ci.org/mlpack/examples/builds/772354764

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18:31 < zoq> ABHINAVANAND[m]: Looks like you figured it out?

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19:36 < ghosthell> Trans-Universal Transportation Equipment Wanted. PM Me with offers.658

19:36 < rcurtin[m]> SpaceX might be a better bet for that than #mlpack

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20:18 < shrit[m]> Agreed, since it is Universal

20:19 < shrit[m]> Still strange that we have spams here even in matrix

20:32 < rcurtin[m]> I think that one came through freenode

20:32 < rcurtin[m]> some years ago, there was massive freenode spam... it was awful... messages every couple minutes

20:33 < rcurtin[m]> I don't remember how we solved it, but basically it involved not letting anyone new send any messages to the channel for a while, or something like this

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