Comments (3)
jonniedie
commented on June 1, 2024
I don’t have access to a computer at the moment and this is a tough one to debug in Codespaces on my iPad, so I’ll have to give it a look tomorrow. This one looks like it might take some digging.
from componentarrays.jl.
jonniedie
commented on June 1, 2024
Alright, here's a quick patch that will work until I figure out the right way to do this:
Base.convert(::Type{Sundials.NVector}, x::ComponentArray) = Sundials.NVector(getdata(x))from componentarrays.jl.
jonniedie
commented on June 1, 2024
Figured it out. Was missing a method to explicitly convert to Array. Which is kinda weird because it was doing the conversion to NVector directly correctly even without either convert method defined.
from componentarrays.jl.
Related Issues (20)
- vcat ambiguity with SparseArrays method HOT 2
- add missing LinearAlgebra methods on GPU
- Problem with `Zygote.hessian` HOT 1
- `lmul!` fails with Component Array on GPU
- Incorrect gradient type. HOT 2
- Scalar indexing on GPU when computing `Zygote.gradient` of `dot(x::CA, x::CA)`
- Method ambiguities reported by Aqua
- getting "Only homogeneous arrays are allowed" error for Vector{SVector} HOT 4
- How to get index range of subarray? HOT 3
- Extend KeepIndex to Vector indices HOT 1
- Nine broken tests for Test Summary: | Pass Broken Total Time Broadcasting | 30 9 39 7.2s HOT 1
- The ComponentArray type that can specify the properties of the ComponentArray object
- Indexing `ComponentMatrix` with `FlatAxis` components HOT 4
- `Diagonal(ComponentArray)` scalar indexing error HOT 1
- ComponentVectors are not stack-able HOT 10
- ComponentArray errors with `findall`
- Can't index component array with shaped components with subset of keys HOT 2
- FR: Preserve CA-ness when indexing component matrix with shaped components HOT 1
- Get rid of `ComponentMatrix` and higher-order `ComponentArray`s? HOT 12
- Missing reduced_index
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from componentarrays.jl.