Merge pull request SciML#2729 from AayushSabharwal/as/mtkparams-bug

fix: fix bug in `remake_buffer`

Author: ChrisRackauckas

Diff for: src/systems/parameter_buffer.jl

@@ -140,7 +140,7 @@ function MTKParameters(
         dep_exprs = ArrayPartition((Any[missing for _ in 1:length(v)] for v in dep_buffer)...)
         for (sym, val) in pdeps
             i, j = ic.dependent_idx[sym]
-            dep_exprs.x[i][j] = wrap(val)
+            dep_exprs.x[i][j] = unwrap(val)
         end
         dep_exprs = identity.(dep_exprs)
         p = reorder_parameters(ic, full_parameters(sys))
@@ -423,7 +423,10 @@ function SymbolicIndexingInterface.remake_buffer(sys, oldbuf::MTKParameters, val
     @set! newbuf.nonnumeric = narrow_buffer_type_and_fallback_undefs.(
         oldbuf.nonnumeric, newbuf.nonnumeric)
     if newbuf.dependent_update_oop !== nothing
-        @set! newbuf.dependent = newbuf.dependent_update_oop(newbuf...)
+        @set! newbuf.dependent = narrow_buffer_type_and_fallback_undefs.(
+            oldbuf.dependent,
+            split_into_buffers(
+                newbuf.dependent_update_oop(newbuf...), oldbuf.dependent, Val(false)))
     end
     return newbuf
 end
@@ -447,6 +450,7 @@ _num_subarrays(v::Tuple) = length(v)
 # getindex indexes the vectors, setindex! linearly indexes values
 # it's inconsistent, but we need it to be this way
 function Base.getindex(buf::MTKParameters, i)
+    i_orig = i
     if !isempty(buf.tunable)
         i <= _num_subarrays(buf.tunable) && return _subarrays(buf.tunable)[i]
         i -= _num_subarrays(buf.tunable)
@@ -467,7 +471,7 @@ function Base.getindex(buf::MTKParameters, i)
         i <= _num_subarrays(buf.dependent) && return _subarrays(buf.dependent)[i]
         i -= _num_subarrays(buf.dependent)
     end
-    throw(BoundsError(buf, i))
+    throw(BoundsError(buf, i_orig))
 end
 function Base.setindex!(p::MTKParameters, val, i)
     function _helper(buf)
@@ -551,9 +555,6 @@ function jacobian_wrt_vars(pf::F, p::MTKParameters, input_idxs, chunk::C) where
             for (i, val) in zip(input_idxs, p_small_inner)
                 _set_parameter_unchecked!(p_big, val, i)
             end
-            # tunable, repack, _ = SciMLStructures.canonicalize(SciMLStructures.Tunable(), p_big)
-            # tunable[input_idxs] .= p_small_inner
-            # p_big = repack(tunable)
             return if pf isa SciMLBase.ParamJacobianWrapper
                 buffer = Array{dualtype}(undef, size(pf.u))
                 pf(buffer, p_big)
@@ -563,8 +564,6 @@ function jacobian_wrt_vars(pf::F, p::MTKParameters, input_idxs, chunk::C) where
             end
         end
     end
-    # tunable, _, _ = SciMLStructures.canonicalize(SciMLStructures.Tunable(), p)
-    # p_small = tunable[input_idxs]
     p_small = parameter_values.((p,), input_idxs)
     cfg = ForwardDiff.JacobianConfig(p_closure, p_small, chunk, tag)
     ForwardDiff.jacobian(p_closure, p_small, cfg, Val(false))

Diff for: test/mtkparameters.jl

@@ -224,3 +224,20 @@ function loss(x)
 end
 
 @test_nowarn ForwardDiff.gradient(loss, collect(tunables))
+
+# Ensure dependent parameters are `Tuple{...}` and not `ArrayPartition` when using
+# `remake_buffer`.
+@parameters p1 p2 p3[1:2] p4[1:2]
+@named sys = ODESystem(
+    Equation[], t, [], [p1, p2, p3, p4]; parameter_dependencies = [p2 => 2p1, p4 => 3p3])
+sys = complete(sys)
+ps = MTKParameters(sys, [p1 => 1.0, p3 => [2.0, 3.0]])
+@test ps[parameter_index(sys, p2)] == 2.0
+@test ps[parameter_index(sys, p4)] == [6.0, 9.0]
+
+newps = remake_buffer(
+    sys, ps, Dict(p1 => ForwardDiff.Dual(2.0), p3 => ForwardDiff.Dual.([3.0, 4.0])))
+
+VDual = Vector{<:ForwardDiff.Dual}
+VVDual = Vector{<:Vector{<:ForwardDiff.Dual}}
+@test newps.dependent isa Union{Tuple{VDual, VVDual}, Tuple{VVDual, VDual}}