Comments (3)
That would be a simple solution, but seems inefficient. It would also create a completely new array that shares no memory with the original one, in contrast to the current behavior where modifying the new array will also modify the old one.
from sparsearrays.jl.
I think the best way to fix this would be to add a ReshapedSparseArray <: AbstractSparseArray
wrapper type. This type could then be used not only for sparsevec
but also for reshape
ing sparse arrays in general.
from sparsearrays.jl.
Maybe the sparsevec
definition could be changed to something like
sparsevec(a::AbstractSparseArray) = sparsevec(vec(a))
?
from sparsearrays.jl.
Related Issues (20)
- Regression for `mul!` from 1.9 to 1.10 HOT 11
- Using `@view` leads to 100x performance loss HOT 7
- Loads of warnings about method redefinitions HOT 2
- Wrapper generator needs updating to pick SuiteSparse headers from new location HOT 1
- Single precision support in CHOLMOD HOT 3
- Cholesky F.PtL \ Av where Av is a view does not work HOT 1
- Base.stack is underperforming for SparseArrays HOT 3
- Regression in invalidations caused by SparseArrays HOT 3
- Elementwise multiplication by a view of a dense matrix gives a dense matrix
- `findmin(A; dims=1)` is much slower than manually looping over. HOT 1
- Sparse array of string types HOT 17
- Memory Mapped SparseArrays HOT 3
- Extra allocations when using generalized `mul!` operation
- Attempting to run sparse `qr` produces StackOverflow when run on a sparse matrix of `ForwardDiff.Dual`. HOT 6
- Inconsistent addition between sparse and dense HOT 1
- `ldiv` of `LUFactorization` can throw `SingluarException` HOT 1
- Thread-safe dropstored! HOT 1
- Merge SparseMatricesCSR.jl in HOT 2
- Support zero-based indices HOT 3
- Windows threading tests fail in GitHub Actions CI but pass in Buildkite CI
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from sparsearrays.jl.