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Make LinearAlgebra.jl independent of SparseArrays.jl #43127

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Dec 21, 2021
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dkarrasch
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@dkarrasch dkarrasch commented Nov 18, 2021

First of all, this is mostly just code shuffling. Functional changes should be limited to:

  • concatenation of special "sparse" matrices does no longer result in sparse matrices, unless at least one argument is of Sparse* type;
  • 3-arg similar of specialized "sparse" matrices returns dense zeros. Besides additional memory consumption, this may be problematic for the matrix-of-matrices case;
  • in SVD we concatenate dense matrices and Diagonals in the D1 and D2 fields; these now return a dense matrix instead of a SparseMatrixCSC. OTOH, these fields are computed only upon getproperty calls, so shouldn't result in larger memory consumption by default.

@KristofferC
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I wonder if it would be good to provide sparse_xcat functions that does what the old xcat with "sparse" special arrays (like Diagonal) did. I'm thinking in cases people really need to get a sparse array out of the catting with these special matrix types, they can at least swap to using the new sparse cat function.

@dkarrasch
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The second commit now has sparse_*cat methods and a few tests. Maybe we should add that in a different PR, or at least keep the commits separate?

@dkarrasch dkarrasch marked this pull request as ready for review November 19, 2021 17:38
@ViralBShah
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The separate commits sound like a good idea. Will the separate commits be cleanly and separately reversible should we need to?

@KristofferC
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@nanosoldier runtests(ALL, vs = ":master")

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Your package evaluation job has completed - possible new issues were detected. A full report can be found here.

@dkarrasch dkarrasch force-pushed the dk/freelinalg branch 2 times, most recently from 5886095 to db3658e Compare November 24, 2021 16:29
@dkarrasch
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Pkg eval didn't give any related errors, AFAICT. I rearranged the commits to reflect the two-step procedure.

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ViralBShah commented Dec 2, 2021

I rebased it to master to see if it helps us pass linux32 and aarch64.

I feel like it is worth trying this out while we are still some ways away from code freeze. Would it be better to squash this all into one commit, should we need to revert it?

@dkarrasch
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Sorry, I must have missed your message. So all tests pass, let's run pgk eval again. Otherwise, I agree it would be good to give this some time in the nightly builds to see whether it triggers serious errors or concerns. And yes, perhaps squashing is fine, because the sparse_cat functions make little sense without the other. I could keep the commits separated locally to remember which code changes are related to which aspect.

@nanosoldier runtests(ALL, vs = ":master")

@ViralBShah
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@KristofferC how do you feel about this?

@KristofferC
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If PkgEval looks good then I would say we should do this. It is one of the necessary steps to move out SparseArrays at least.

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Your package evaluation job has completed - possible new issues were detected. A full report can be found here.

@dkarrasch
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dkarrasch commented Dec 9, 2021

@haampie IncompleteLU.jl failed in the PkgEval run with this error message:

Read SparseMatrixCSC row by row: Test Failed at /home/pkgeval/.julia/packages/IncompleteLU/UBpTh/test/linked_list.jl:36
  Expression: nzval(reader, column) == A[row, column]
   Evaluated: 0.36085659569841 == 0.0

see https://s3.amazonaws.com/julialang-reports/nanosoldier/pkgeval/by_hash/7d3df0d_vs_8197c41/IncompleteLU.1.8.0-DEV-8d8c8fe49ce.log. Would you mind taking a look to see if this is related to this PR? I wouldn't know how values of matrix entries change (edit: due to this PR).

@mcognetta
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similar for structured matrices returning a dense matrix will be a surprise to users I think. Though having it return a sparse matrix like before was also a surprise..

@KristofferC
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@nanosoldier runtests(["BayesianQuadrature", "BioServices", "ExpressCommands", "GaussianMixtureAlignment", "GridapDistributed", "IncompleteLU", "KrigingEstimators", "QuantumPropagators", "SLEEFPirates", "SimpleBufferStream", "SymbolicUtils", "VideoIO"], vs = ":master")

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Your package evaluation job has completed - no new issues were detected. A full report can be found here.

@dkarrasch
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That nanosoldier run was helpful. @KristofferC what do you think, squash or not?

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KristofferC commented Dec 14, 2021

Seems like two commits are pretty good here, one for the change to xcat and one for the new sparse_xcat?

@dkarrasch
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Ok, how do I do that (I'm used to the "squash and merge" option)? Just "create a merge commit" instead?

@oscardssmith
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first squash to 2 commits locally and rebase on master. Then force push, and merge the merge commit.

@ViralBShah
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@KristofferC Perhaps now we should be in a good place to pull out SparesArrays.jl into a separate repo. Is that something you can revive?

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6 participants