mlpack IRC logs, 2018-11-03

Logs for the day 2018-11-03 (starts at 0:00 UTC) are shown below.

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--- Log opened Sat Nov 03 00:00:58 2018
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06:04 < ayesdie> Hello, if anyone is up here, I need some help is adding test features for Neighbor Search and Interpolation alternatives for CF. Just a small help.
06:05 < ayesdie> *need some help in adding
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08:55 < travis-ci> mlpack/mlpack#5568 (master - a824f23 : Shikhar Jaiswal): The build has errored.
08:55 < travis-ci> Change view : https://github.com/mlpack/mlpack/compare/d3e2227abb3b...a824f23b47c7
08:55 < travis-ci> Build details : https://travis-ci.org/mlpack/mlpack/builds/450151257
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17:46 < davida> I have a question regarding the correct data layout for input to a Convolution layer. This layer expects inSize, inputWidth and inputHeight. I have a set to 1,080
17:46 < davida> 64x64x3 images as the input to the first conv layer.
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17:48 < travis-ci> mlpack/mlpack#5569 (master - 971d78b : Shikhar Jaiswal): The build has errored.
17:48 < travis-ci> Change view : https://github.com/mlpack/mlpack/compare/a824f23b47c7...971d78b6da7e
17:48 < travis-ci> Build details : https://travis-ci.org/mlpack/mlpack/builds/450256672
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17:48 < davida> It seems reasonable that inSize=3, inputWidth=64 and inputHeight=64. However, I have to map this data into a matrix of 'm' examples so I need to flatten the 64x64x3 image
17:49 < davida> into a matrix of 12288x1080 (m=1080).
17:51 < davida> The question I have is what layout does the Conv layer expect the 64x64x3 data to be in? Should I write 64x64 row by row then another 64x64 for the second channel?
17:51 < davida> Or does the Conv layer expect the input maps to be laid out in some other fashion?
17:54 < davida> Unfortunately the example provided in the mlpack/models GitHub link only covers a CNN with a single map on the first input so I cannot work out the correct input format for the matrix.
17:54 < davida> Any advice would be really welcomed. Thanks.
21:35 < zoq> davida: It should be flatten (64 * 64) (64 * 64) (64 * 64), you can use arma::vectorise to do the actual reshaping.
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--- Log closed Sun Nov 04 00:00:00 2018