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Benchmarking various AD tools.

Results 27 ADBench issues
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I cannot connect to https://adbenchwebviewer.azurewebsites.net/

Hi, Vectorized the GMM objective function. Should be around 10x faster now.

Following the installation instructions I run ``` $ cmake -DCMAKE_BUILD_TYPE=Release .. ``` This fails with a long error log, but the salient points seem to be that it tries to...

Currently we're using the older DV/DM in DiffSharp. We should add a new tool folder DiffSharp-Tensor, using the dev branch 1.0 API.

enhancement

Hi, First, thank you for creating this useful benchmark suit. Looking at currently posted results it's unclear if some tools actually use multiple cores. I tried to replicate these results...

I can not find data correspond to the last column of BA table with 2.9e7 measurements ![](https://github.com/JuliaReverse/NiBundleAdjustment.jl/raw/master/benchmarks/adbench.png) Is it already uploaded somewhere?

The julia code in this repo is not type stable, which causes **more than 10x slow down**. Whenever the type is not stable, Julia can not compile efficient code for...

In Julia, the current fastest reverse-mode AD is ReverseDiff.jl (https://github.com/JuliaDiff/ReverseDiff.jl) so it would be nice if that one could be added.

We used to call the things we benchmarked "tools", now they are "modules". We should unify -- any suggestions welcome.

enhancement

It would be nice if the plotting process exported a data file (perhaps JSON) containing the all the datapoints created by the training run. Ideally the plotting code could be...

enhancement