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Pass Tag and Chunksize from the types #266

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Merged
merged 1 commit into from
Oct 28, 2023
Merged

Pass Tag and Chunksize from the types #266

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2 changes: 1 addition & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "SparseDiffTools"
uuid = "47a9eef4-7e08-11e9-0b38-333d64bd3804"
authors = ["Pankaj Mishra <[email protected]>", "Chris Rackauckas <[email protected]>"]
version = "2.8.0"
version = "2.9.0"

[deps]
ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
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5 changes: 5 additions & 0 deletions src/highlevel/common.jl
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Expand Up @@ -240,7 +240,12 @@ function init_jacobian end
const __init_𝒥 = init_jacobian

# Misc Functions
function __chunksize(::AutoSparseForwardDiff{C}, x) where {C}
return C === nothing ? ForwardDiff.Chunk(x) : C
end
__chunksize(::AutoSparseForwardDiff{C}) where {C} = C
__chunksize(::AutoForwardDiff{C}, x) where {C} = C === nothing ? ForwardDiff.Chunk(x) : C
__chunksize(::AutoForwardDiff{C}) where {C} = C

__f̂(f, x, idxs) = dot(vec(f(x)), idxs)

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13 changes: 8 additions & 5 deletions src/highlevel/forward_mode.jl
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Expand Up @@ -6,17 +6,19 @@ struct ForwardDiffJacobianCache{CO, CA, J, FX, X} <: AbstractMaybeSparseJacobian
x::X
end

struct SparseDiffToolsTag end

function sparse_jacobian_cache(ad::Union{AutoSparseForwardDiff, AutoForwardDiff},
sd::AbstractMaybeSparsityDetection, f, x; fx = nothing)
coloring_result = sd(ad, f, x)
fx = fx === nothing ? similar(f(x)) : fx
if coloring_result isa NoMatrixColoring
cache = ForwardDiff.JacobianConfig(f, x)
cache = ForwardDiff.JacobianConfig(f, x, __chunksize(ad, x),
ifelse(ad.tag === nothing, SparseDiffToolsTag(), ad.tag))
jac_prototype = nothing
else
cache = ForwardColorJacCache(f, x, __chunksize(ad); coloring_result.colorvec,
dx = fx,
sparsity = coloring_result.jacobian_sparsity)
dx = fx, sparsity = coloring_result.jacobian_sparsity, ad.tag)
jac_prototype = coloring_result.jacobian_sparsity
end
return ForwardDiffJacobianCache(coloring_result, cache, jac_prototype, fx, x)
Expand All @@ -26,11 +28,12 @@ function sparse_jacobian_cache(ad::Union{AutoSparseForwardDiff, AutoForwardDiff}
sd::AbstractMaybeSparsityDetection, f!, fx, x)
coloring_result = sd(ad, f!, fx, x)
if coloring_result isa NoMatrixColoring
cache = ForwardDiff.JacobianConfig(f!, fx, x)
cache = ForwardDiff.JacobianConfig(f!, fx, x, __chunksize(ad, x),
ifelse(ad.tag === nothing, SparseDiffToolsTag(), ad.tag))
jac_prototype = nothing
else
cache = ForwardColorJacCache(f!, x, __chunksize(ad); coloring_result.colorvec,
dx = fx, sparsity = coloring_result.jacobian_sparsity)
dx = fx, sparsity = coloring_result.jacobian_sparsity, ad.tag)
jac_prototype = coloring_result.jacobian_sparsity
end
return ForwardDiffJacobianCache(coloring_result, cache, jac_prototype, fx, x)
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