Comments (3)
The user is supposed to pass a value type. The partials have to be known at compile time for the tuple length.
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If all we have is the length, we determine it at cache construction time so the type is gotten once, and then further function calls have it all inferred. It's the same in ForwardDiff and not the bad example there.
from sparsedifftools.jl.
I'm just desperately trying to find all possible issues and was confused by the default_chunk_size
function and the fact that integers are "converted" to Val
s. But then this is probably not a major issue, it seems.
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Related Issues (20)
- Documentation offline HOT 2
- Todos for v2 HOT 4
- Doc badge leads to 403 Forbidden HOT 1
- needs comprehensive testing HOT 1
- ForwardColorJacCache error using partition by rows coloration HOT 4
- Release v2 HOT 2
- Typo in VecJac opnorm argument
- Invalid test group specified in CI
- Test failure related to StaticArrays and ArrayInterface HOT 2
- Code cleanup after #232
- Docs currently failing to load HOT 2
- Extend JacVec to have a speedy solution also for matrix multiplication?
- SparseDiffTools broken w/ Julia 1.8.5
- Incorrect kwarg, this should error or fail HOT 1
- Failed get_tag breaking gpu ode solve with Krylov_GMRES() linear solver
- Floating point arithmetic 101 - it doesn't add up! aka Don't touch user input without telling them the rules
- Make `num_vecjac<!>` GPU compatible HOT 4
- wrong result wrt to ForwardDiff HOT 5
- Auto(Sparse)ReverseDiff not supported
- Enzyme v0.12 still doesn't work due to compat issues HOT 1
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