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Would you consider extending this package to compute jacobians?
I suppose on some level this can be "hacked" by differentiating the individual components, but if there are a lot of intermediate exp…
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Based on clad discussion #780. We assume the current computations of a Jacobian and Hessian are returned as a dense matrix. We wish to augment the API to allow sparse representations of the Jacobian…
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We need to add support for more fancy Jacobian work. An earlier version of the Rewrite included an automatic JacVecOperator, as this causes some defaults to misbehave, and required an API change, I go…
FHell updated
3 years ago
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Hi @JordiManyer, I was doing some code profiling (an issue to be reported/addressed in Gridap) and I found this possible error:
https://github.com/gridap/GridapSolvers.jl/blob/26aa6f995e156034de102…
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template
using ReturnType = std::invoke_result_t;
**Severity Code Description Project File Line Suppression State Details
Error C2039 'invoke_result_t': is not a member of 'std' jacobian_autodiff…
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Reverse-mode AD implementations calculate a Jacobian row by row instead of column by column. Thus it would be nice to have a way to do row-wise matrix partitioning and coloring. Once we have these col…
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Hi ANTs team,
What is the suggested way to calculate a between-scan Jacobian through an intermediary template such as a single-subject template? Such that expansion is jacobian > 0 .
Between scan …
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### 🚀 The feature, motivation and pitch
Neural Nets are often applied in physical or related fields. Here, one usually not only need an output, put also its derivative. With Pytorch one can use Aut…
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Hi,
When you get J^(T)J, do you make it a 'Low-rank matrix' as your previous paper, 'Low-Rank Subspaces in GANs'?
(J means jacobian and J^(T) means transpose of J)
Thank you.
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especially since new hardware version (dualPanto ember) uses asymmetric linkages we really need a jacobian representation of the render-space to accurately render haptics.