-
-
Notifications
You must be signed in to change notification settings - Fork 5.5k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Specialize adding/subtracting mixed Upper/LowerTriangular #56149
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
jishnub
added
linear algebra
Linear algebra
arrays
[a, r, r, a, y, s]
bugfix
This change fixes an existing bug
labels
Oct 14, 2024
The broken tests here would be fixed by #55312, so one of these should be rebased after the other is merged. |
dkarrasch
reviewed
Oct 17, 2024
dkarrasch
approved these changes
Oct 17, 2024
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Not sure if these needs an update of the tests once the other PR is merged?
Co-authored-by: Daniel Karrasch <daniel.karrasch@posteo.de>
jishnub
added a commit
that referenced
this pull request
Oct 21, 2024
KristofferC
pushed a commit
that referenced
this pull request
Oct 21, 2024
Fixes https://github.com/JuliaLang/julia/issues/56134 After this, ```julia julia> using LinearAlgebra julia> A = hermitianpart(rand(4, 4)) 4×4 Hermitian{Float64, Matrix{Float64}}: 0.387617 0.277226 0.67629 0.60678 0.277226 0.894101 0.388416 0.489141 0.67629 0.388416 0.100907 0.619955 0.60678 0.489141 0.619955 0.452605 julia> B = UpperTriangular(A) 4×4 UpperTriangular{Float64, Hermitian{Float64, Matrix{Float64}}}: 0.387617 0.277226 0.67629 0.60678 ⋅ 0.894101 0.388416 0.489141 ⋅ ⋅ 0.100907 0.619955 ⋅ ⋅ ⋅ 0.452605 julia> B - B' 4×4 Matrix{Float64}: 0.0 0.277226 0.67629 0.60678 -0.277226 0.0 0.388416 0.489141 -0.67629 -0.388416 0.0 0.619955 -0.60678 -0.489141 -0.619955 0.0 ``` This preserves the band structure of the parent, if any: ```julia julia> U = UpperTriangular(Diagonal(ones(4))) 4×4 UpperTriangular{Float64, Diagonal{Float64, Vector{Float64}}}: 1.0 0.0 0.0 0.0 ⋅ 1.0 0.0 0.0 ⋅ ⋅ 1.0 0.0 ⋅ ⋅ ⋅ 1.0 julia> U - U' 4×4 Diagonal{Float64, Vector{Float64}}: 0.0 ⋅ ⋅ ⋅ ⋅ 0.0 ⋅ ⋅ ⋅ ⋅ 0.0 ⋅ ⋅ ⋅ ⋅ 0.0 ``` This doesn't fully work with partly initialized matrices, and would need #55312 for that. The abstract triangular methods now construct matrices using `similar(parent(U), size(U))` so that the destinations are fully mutable. ```julia julia> @invoke B::LinearAlgebra.AbstractTriangular - B'::LinearAlgebra.AbstractTriangular 4×4 Matrix{Float64}: 0.0 0.277226 0.67629 0.60678 -0.277226 0.0 0.388416 0.489141 -0.67629 -0.388416 0.0 0.619955 -0.60678 -0.489141 -0.619955 0.0 ``` --------- Co-authored-by: Daniel Karrasch <daniel.karrasch@posteo.de>
KristofferC
added a commit
that referenced
this pull request
Nov 21, 2024
Backported PRs: - [x] #55886 <!-- irrationals: restrict assume effects annotations to known types --> - [x] #55867 <!-- update `hash` doc string: `widen` not required any more --> - [x] #56084 <!-- slightly improve inference in precompilation code --> - [x] #56088 <!-- make `Base.ANSIIterator` have a concrete field --> - [x] #54093 <!-- Fix `JULIA_CPU_TARGET` being propagated to workers precompiling stdlib pkgimages --> - [x] #56165 <!-- Fix markdown list in installation.md --> - [x] #56148 <!-- Make loading work when stdlib deps are missing in the manifest --> - [x] #56174 <!-- Fix implicit `convert(String, ...)` in several places --> - [x] #56159 <!-- Add invalidation barriers for `displaysize` and `implicit_typeinfo` --> - [x] #56089 <!-- Call `MulAddMul` instead of multiplication in _generic_matmatmul! --> - [x] #56195 <!-- Include default user depot when JULIA_DEPOT_PATH has leading empty entry --> - [x] #56215 <!-- [REPL] fix lock ordering mistake in load_pkg --> - [x] #56251 <!-- REPL: run repl hint generation for modeswitch chars when not switching --> - [x] #56092 <!-- stream: fix reading LibuvStream into array --> - [x] #55870 <!-- fix infinite recursion in `promote_type` for `Irrational` --> - [x] #56227 <!-- Do not call `rand` during sysimage precompilation --> - [x] #55741 <!-- Change annotations to use a NamedTuple --> - [x] #56149 <!-- Specialize adding/subtracting mixed Upper/LowerTriangular --> - [x] #56214 <!-- fix precompile process flags --> - [x] #54471 - [x] #55622 - [x] #55704 - [x] #55764
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Labels
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes JuliaLang/LinearAlgebra.jl#1099
After this,
This preserves the band structure of the parent, if any:
This doesn't fully work with partly initialized matrices, and would need #55312 for that.
The abstract triangular methods now construct matrices using
similar(parent(U), size(U))
so that the destinations are fully mutable.