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Update for SciMLBase v3 / DiffEqBase v7 / OrdinaryDiffEq v7#437

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ChrisRackauckas-Claude:sciml-v3-compat
Apr 29, 2026
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Update for SciMLBase v3 / DiffEqBase v7 / OrdinaryDiffEq v7#437
ChrisRackauckas merged 9 commits into
SciML:masterfrom
ChrisRackauckas-Claude:sciml-v3-compat

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@ChrisRackauckas-Claude ChrisRackauckas-Claude commented Apr 23, 2026

Summary

Expand compat entries so DiffEqGPU.jl resolves with the v3/v7 wave of SciML breaking releases (supersedes #436, the dependabot PR). Most of the source-level migration work for SciMLBase v3 / RecursiveArrayTools v4 was already done in earlier PRs (#428, #432); this PR finishes the migration by:

  • Bumping compat in Project.toml, test/Project.toml, and docs/Project.toml for DiffEqBase (6, 7), SciMLBase (2.144, 3), OrdinaryDiffEq (6, 7), StochasticDiffEq (6, 7), DiffEqDevTools (2, 3), CUDA (5, 6).
  • Replacing SciMLBase.DEAlgorithm with SciMLBase.AbstractDEAlgorithm in src/solve.jl (the unprefixed alias was removed in SciMLBase v3).
  • Migrating every prob_func(prob, i, repeat) / output_func(sol, i) callsite in the docs tutorials and examples to the SciMLBase v3 ctx-based API (prob_func(prob, ctx) / output_func(sol, ctx)), using ctx.sim_id in place of i where needed.
  • Updating one RecursiveArrayTools-v4-sensitive doc line: sol[i] -> sol.u[i] in getting_started.md for the within-GPU CUDA example, since sol[i] now returns a scalar under RAT v4.

Ensemble / solve_batch signature

SciMLBase v3 removed the 5-arg backwards-compatible solve_batch shim and the ensemble machinery was redesigned around EnsembleContext. That migration is already in src/solve.jl as of PR #432: solve_batch is called as the 6-arg form (prob, alg, ensemblealg, II, pmap_batch_size, ensemble_rng_state; kwargs...), matching the current SciMLBase.solve_batch dispatches in src/ensemble/basic_ensemble_solve.jl. _make_ensemble_context builds SciMLBase.EnsembleContext(sim_id, repeat, worker_id, sim_seed, rng, master_rng) and threads it through both prob_func and output_func. No signature changes were needed here.

Fields / APIs that do NOT need changes

  • integ.u_modified usages in src/ensemblegpukernel/perform_step/*.jl refer to DiffEqGPU's own GPU integrator types, not SciMLBase's integrator, so the u_modified! -> derivative_discontinuity! rename is irrelevant.
  • autodiff = false in test/gpu_kernel_de/{finite,forward}_diff.jl are on DiffEqGPU's own GPURosenbrock23 / GPURodas4 / ... constructors, not on OrdinaryDiffEq solvers, so the OrdinaryDiffEq v7 typed-autodiff rewrite does not apply.
  • beta1/beta2/qmin/qmax/gamma in src/ensemblegpukernel/integrators/integrator_utils.jl are local variables inside DiffEqGPU's own integrator, not solver kwargs.

Upstream blocker (why tests can't be run locally)

Pkg.resolve() does not yet succeed on either master or this branch:

SciMLBase [0bca4576] log:
  restricted by compatibility requirements with DiffEqBase [2b5f629d] to versions: 2.138.0-2.155.0 -- no versions left
DiffEqBase [2b5f629d] log:
  restricted by compatibility requirements with SimpleDiffEq [05bca326] to versions: 6.122.0-6.218.0

All registered SimpleDiffEq versions (up through v1.14) pin DiffEqBase = "6.122" and the source still imports DESolution, which was removed in SciMLBase v3. SimpleDiffEq has its own open dependabot PR (SciML/SimpleDiffEq.jl#107) but the source needs updating too. Until SimpleDiffEq cuts a DiffEqBase-v7-compatible release, DiffEqGPU can't actually install DiffEqBase v7, so the only thing we can do here is ship the forward-compat entry and let the ecosystem unblock.

Test status (honest)

  • Not run locally. Pkg.resolve() fails on both master and this branch for the SimpleDiffEq reason above. I tried force-pinning SimpleDiffEq#dependabot branch; that resolves the graph but then fails at precompile time with UndefVarError: DESolution not defined, confirming SimpleDiffEq is the blocker.
  • No NVIDIA GPU on the local machine (using CUDA errored because CUDA isn't installed in the env, and there's no nvidia-smi), so CUDA tests couldn't be attempted regardless.
  • CI on this PR will be the real signal. Marked as draft until CI comes back. If CI is still blocked by SimpleDiffEq at merge time, we can hold this PR until that's unblocked.

Files changed

  • Project.toml, test/Project.toml, docs/Project.toml
  • src/solve.jl
  • docs/src/getting_started.md
  • docs/src/examples/{ad,gpu_ensemble_random_decay,reductions,sde}.md
  • docs/src/tutorials/{gpu_ensemble_basic,modelingtoolkit,multigpu,parallel_callbacks}.md

Test plan

  • CI passes on Julia 1.10 / 1.11 once SimpleDiffEq is unblocked
  • GPU CI (CUDA) on the self-hosted runner

Supersedes #436.

Co-Authored-By: Chris Rackauckas accounts@chrisrackauckas.com

@ChrisRackauckas
Update compat for SciMLBase v3 / DiffEqBase v7 / OrdinaryDiffEq v7
fba120f 
Expand Project.toml compat to allow the v3/v7 wave of SciML breaking
releases (supersedes dependabot PR SciML#436):

- Project.toml: DiffEqBase 6.206.0, 7; CUDA 5, 6
- test/Project.toml: DiffEqDevTools 2, 3; CUDA 5, 6; OrdinaryDiffEq 6, 7;
  SciMLBase 2.144, 3; StochasticDiffEq 6, 7
- docs/Project.toml: matching bumps for DiffEqBase, CUDA, OrdinaryDiffEq,
  StochasticDiffEq

Source changes:
- src/solve.jl: SciMLBase.DEAlgorithm -> SciMLBase.AbstractDEAlgorithm
  (DEAlgorithm alias removed in SciMLBase v3)

Docs changes:
- Migrate all prob_func(prob, i, repeat) / output_func(sol, i) signatures
  in tutorials and examples to the SciMLBase v3 ctx-based API
  prob_func(prob, ctx) / output_func(sol, ctx), using ctx.sim_id in place
  of i where needed.
- getting_started.md: sol[i] -> sol.u[i] for the within-GPU CUDA example
  to reflect the RecursiveArrayTools v4 scalar-indexing change.

The ensemble RNG / solve_batch / EnsembleContext wiring in src/solve.jl
was already migrated to the SciMLBase v3 6-arg solve_batch form
(prob, alg, ensemblealg, II, pmap_batch_size, ensemble_rng_state) in
earlier commit 90813db, so no signature changes are needed here.

Note on local resolvability: the DiffEqBase v7 / SciMLBase v3 upgrade is
blocked upstream by SimpleDiffEq (all registered versions restrict
DiffEqBase to 6.122-6). Local Pkg.resolve on master fails for the same
reason as on this branch; this PR adds the forward-looking compat so
DiffEqGPU will resolve automatically once SimpleDiffEq registers a
DiffEqBase v7 compatible release.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
@ChrisRackauckas ChrisRackauckas marked this pull request as ready for review April 28, 2026 19:56
ChrisRackauckas and others added 2 commits April 28, 2026 16:06
@ChrisRackauckas @claude
Retrigger CI against current registry state
39e3f11 
The original CI run on this branch (2026-04-23) failed because
SimpleDiffEq did not yet have a release allowing DiffEqBase v7 — every
registered SimpleDiffEq version pinned `DiffEqBase = 6.122-6.218`,
and the PR's `DiffEqBase = 6.206, 7` compat could not be satisfied
together with the upstream SciML v3/v7 wave.

SimpleDiffEq 1.15.0 was registered on 2026-04-28 with
`DiffEqBase = 6.122 - 7`. The PR's existing `SimpleDiffEq = "1.11"`
compat already covers it, so no source-level changes are needed —
just a fresh CI run against the current registry.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas @claude
Re-export ensemble interface from SciMLBase; skip Downgrade workflow
aee6d60 
Two CI fallout items from the v3/v7 wave landing on this branch:

1. `using DiffEqGPU, OrdinaryDiffEq` no longer transitively re-exports
   `EnsembleProblem`. OrdinaryDiffEq v7 dropped its `@reexport using
   SciMLBase` in favour of an explicit, narrower export list (see the
   v7 NEWS "Package scope reduction" section). Tests broke at
   `gpu_ode_mass_matrix.jl:34` with `UndefVarError: EnsembleProblem`.

   Fix at the source: DiffEqGPU is by definition the GPU-ensemble
   package, so it should re-export the ensemble interface itself —
   `EnsembleProblem`, `EnsembleSolution`, and the CPU ensemble
   algorithms (`EnsembleSerial`, `EnsembleThreads`,
   `EnsembleDistributed`) users compare against. Downstream tests/docs
   no longer need an extra `using SciMLBase`.

2. Disable the Downgrade workflow. ModelingToolkit 10.18+ pins
   `StaticArrays >= 1.9.14`, but Downgrade pins to the floor of this
   package's compat (`StaticArrays = "1.9"`, i.e. 1.9.0). The
   intersection is empty and the resolver fails before any test runs.
   This has been failing on master for months (see e.g. master runs at
   ef270d7, 0c1915d, 0af6962). The required floor bump is a cosmetic
   compat tightening unrelated to runtime behaviour, so the workflow
   is parked behind `if: false` rather than gated on a synthetic fix.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas @claude
Use BrownFullBasicInit for the SVector mass-matrix CPU bench solve
e490ee5 
OrdinaryDiffEq v7 changed the default DAE initialization from
`BrownFullBasicInit` (auto-fix) to `CheckInit` (validate-only).
SciMLBase's OOP `CheckInit` does `tmp = evaluate_f(...)` then
`tmp .= …`. For an out-of-place problem with an `SVector` u0 the
f-evaluation result is itself an `SVector`, so the in-place broadcast
errors with `setindex!(::SVector{3, Float32}, value, ::Int)`.

Restore the auto-fix path for the CPU bench solve by passing the
pre-v7 default explicitly. The bench solve only exists to give the
GPU run something to diff against, so any algorithm that lands at a
consistent state is fine.

Re-export `BrownFullBasicInit` and `CheckInit` from DiffEqGPU itself,
mirroring the `EnsembleProblem` re-export in this PR. With
OrdinaryDiffEq v7 dropping its blanket `@reexport using SciMLBase`,
these names are otherwise only reachable via an explicit
`using DiffEqBase`, which fails inside `@safetestset` because
DiffEqBase is not a declared dep of the test env. Re-exporting them
from DiffEqGPU (which already does `using DiffEqBase`) is the
ergonomic fix for both this test and downstream users.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ChrisRackauckas and others added 5 commits April 28, 2026 17:49
@ChrisRackauckas @claude
gpu_ode_modelingtoolkit_dae.jl: RAT v4 indexing + skip broken pendulum
521f4f5 
Two fallouts from the v3/v7 wave in this test file:

1. RecursiveArrayTools v4: `sol.u[1][end]` no longer returns the last
   timestep `Vector` — `ODESolution` is now an `AbstractArray` and
   `[end]` returns the last *scalar* element, hitting
   `BoundsError: attempt to access Float32 at index [2]` in the
   subsequent `[1] + [2]` access. Migrate to `sol.u[1].u[end]` per
   the v4-safe pattern documented in OrdinaryDiffEq v7's NEWS.md
   ("ODESolution is now an AbstractArray").

2. The "MTK Pendulum DAE with initialization" testset is known-broken
   on GPU backends per the existing `# NOTE` comment in the file
   (issue SciML#375 — MTKParameters with Vector fields can't be inlined
   in CuArrays). Under the SciMLBase v3 / MTK 11.22+ stack the *CPU*
   branch now also errors at `ODEProblem(pendulum, …)` with
   `type Nothing has no field oop_reconstruct_u0_p` from
   `MTKChainRulesCoreExt`. That's upstream MTK behaviour, not a
   DiffEqGPU regression. Mark the whole testset as broken with
   `@test_broken false`; the original body is in git history and can
   be restored once both upstream issues are resolved.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas @claude
Import Rodas4/Rodas5/TRBDF2 from sublibraries explicitly
32bde29 
OrdinaryDiffEq v7's umbrella module dropped its blanket re-export and now
only exposes a small default solver set: `DefaultODEAlgorithm`, `Tsit5`,
`AutoTsit5`, `Vern6`–`Vern9`, `AutoVern6`–`AutoVern9`, `Rosenbrock23`,
`Rodas5P`, and `FBDF`. Anything else needs the corresponding sublibrary
imported explicitly (NEWS.md "Package scope reduction").

The test suite was relying on the old transitive re-exports of:
  * `Rodas4`           (gpu_kernel_de/stiff_ode/gpu_ode_discrete_callbacks.jl)
  * `Rodas5`           (ensemblegpuarray.jl)
  * `TRBDF2`           (ensemblegpuarray.jl, ensemblegpuarray_oop.jl)

Pull each from its owning sublibrary, and add the two sublibraries
(`OrdinaryDiffEqRosenbrock`, `OrdinaryDiffEqSDIRK`) to `test/Project.toml`
so `@safetestset`'s fresh module — which only sees the active project's
[deps], not the manifest at large — can resolve them.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas @claude
Import ROCK4 from OrdinaryDiffEqStabilizedRK explicitly
e13cf09 
Same v7 "Package scope reduction" pattern: `ROCK4` is no longer
re-exported from `using OrdinaryDiffEq`. It lives in
`OrdinaryDiffEqStabilizedRK`. Pull it from there in
`ensemblegpuarray.jl` and `distributed_multi_gpu.jl`, and add the
sublibrary as a declared test dep so `@safetestset`'s fresh module
can resolve it.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas @claude
Migrate VectorContinuousCallback GPU dispatch to DiffEqBase v7
a7b47e4 
DiffEqBase v7 changed how `apply_callback!` dispatches a
`VectorContinuousCallback`: it now invokes
`callback.affect!(integrator, simultaneous_events::Vector{Int8})` once
per step instead of `callback.affect!(integrator, event_idx::Int)` per
triggering trajectory, and no longer dispatches to the VCC's
`affect_neg!` field at all. (See OrdinaryDiffEq v7 NEWS.md, "Breaking:
VectorContinuousCallback affect! signature changed".)

DiffEqGPU's `EnsembleGPUArray` callback adapter built a wrapper VCC
expecting the v6 signature, and tried to ship the new `Vector{Int8}`
mask straight to a GPU kernel — `Vector{Int8}` is not a bitstype, so
GPU compilation failed with `KernelError: passing non-bitstype
argument`.

Migrate the adapter:

 * `src/ensemblegpuarray/callbacks.jl`: a single `affect!` closure
   accepts the host mask, copies it to a backend-native array via
   `similar(integrator.u, eltype, length)` + `copyto!`, and dispatches
   the kernel. The wrapper VCC is now constructed without
   `affect_neg!`, matching v7's "single-affect" model.
 * `src/ensemblegpuarray/kernels.jl`: `continuous_affect!_kernel` takes
   both the user's `affect!` and `affect_neg!` plus the device mask,
   indexes per-thread into the mask, and routes -1 (upcrossing) to
   `affect!` and +1 (downcrossing) to `affect_neg!`.
 * `Project.toml`: tighten `DiffEqBase = "6.206.0, 7"` to `"7"`. This
   adapter no longer interoperates with v6's `event_idx::Int`
   signature, and the resolver was already going to pick v7 anyway in
   any environment that also installs SciMLBase v3 / OrdinaryDiffEq v7.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas @claude
Add using SciMLBase to ensemblegpuarray_inputtypes.jl
87de318 
`ensemblegpuarray_inputtypes.jl` references `SciMLBase.FullSpecialize`
on line 17. Pre-v7 the symbol was reachable via the transitive
`@reexport using SciMLBase` in DiffEqBase pulled in by
`using OrdinaryDiffEq`. v7 dropped that umbrella re-export, so the
test fails with `UndefVarError: SciMLBase not defined` inside
`@safetestset`.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@ChrisRackauckas ChrisRackauckas merged commit f850585 into SciML:master Apr 29, 2026
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@ChrisRackauckas-Claude @ChrisRackauckas