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Bump the all-julia-packages group with 11 updates#490

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Bump the all-julia-packages group with 11 updates#490
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Updates the requirements on TupleTools, TensorKitSectors, TensorOperations, Adapt, CUDA, FiniteDifferences, GPUArrays, ChainRulesCore, Mooncake, AMDGPU and Enzyme to permit the latest version.
Updates TupleTools to 1.6.0

Release notes

Sourced from TupleTools's releases.

v1.6.0

TupleTools v1.6.0

Diff since v1.5.0

  • fix type stability and compilation times for larger tuples

Merged pull requests:

Commits

Updates TensorKitSectors to 0.3.9

Release notes

Sourced from TensorKitSectors's releases.

v0.3.9

TensorKitSectors v0.3.9

Diff since v0.3.8

TensorKitSectors v0.3.9 fixes a couple of bugs concerning the dimension of a fusion tensor in a forbidden channel and the S-matrix of a fusion category. Fallbacks for calculating topological data from these fusion tensors for product sectors have been added, whose main application is for downstream packages. A bug in testing the Artin braid condition is also corrected.

Merged pull requests:

Closed issues:

  • Dimension of last index of fusiontensor (#90)
Commits
  • 67d342a Bump v0.3.9 (#93)
  • 19defa0 fix: Artin braid check over/underbraiding conventions (#92)
  • 0a72978 Fallbacks for product sectors involving fusion tensors (#80)
  • a90386c Set last dimension to 0 for fusiontensor of forbidden fusions (#91)
  • 8662a37 Fix the bug of modular condition of S matrix (#89)
  • 9874e57 Bump julia-actions/setup-julia from 2 to 3 (#87)
  • 467ecb0 Bump version from 0.3.7 to 0.3.8
  • e6174f8 TimeReversed convert implementation (#86)
  • 19f89c5 Extract gauge invariant braided category data (#84)
  • 6434c46 Bump codecov/codecov-action from 5 to 6 (#81)
  • Additional commits viewable in compare view

Updates TensorOperations to 5.6.2

Release notes

Sourced from TensorOperations's releases.

v5.6.2

TensorOperations v5.6.2

Diff since v5.6.1

This patch release includes some small fixes and improvements.

  • Fixed: ncon in combination with bumper/buffer allocators did not properly reset the buffer, while @tensor calls did.
  • Added: Bumper-native ResizeBuffer is now also supported, as an alternative to the TensorOperations.BufferAllocator.
  • Added: a dedicated AMDGPU extension to ensure the correct output arrays are generated.
Commits

Updates Adapt to 4.7.0

Release notes

Sourced from Adapt's releases.

v4.7.0

Adapt v4.7.0

Diff since v4.6.1

Merged pull requests:

Commits

Updates CUDA to 6.2.1

Release notes

Sourced from CUDA's releases.

v6.2.1

CUDA v6.2.1

Diff since v6.2.0

Merged pull requests:

Closed issues:

  • rCuFFTPlan not defined (#2509)
  • Julia 1.12: Switch to Once (#2544)
  • Norm of Hermitian matrices trigger scalar indexing error (#2965)
  • LLVM 18 / Julia 1.12: Invalid vectorization leads to ptxas error (#3036)
  • LLVM 20 / Julia 1.13: Back-end crash during texture tests (#3037)
  • CUDACore - warning during precompilation (#3177)
  • Error on CUDA.rand(RGB{Float32}, ...) in CUDA.jl 6.1 and 6.2 (#3179)
  • deepcopy fails for CuArray with zero-size element type (#3181)
  • Calling findnz(A) with a COO-formatted argument causes a stack overflow (#3189)
Commits
  • 2816631 Bump version.
  • 1b62bc2 Fix cluster barriers silently trapping on Julia <= 1.11 (#3188)
  • 5886f9d Implementing specialized coo_type for CuSparseCOO (#3190)
  • 8c6af3b Add narrow-precision floats to cudaDataType (#3180)
  • ae647ae Don't promote to i64 unnecessarily in unsafe_cached_load (#3186)
  • fbb9098 Skip device-to-device copies of zero-byte arrays. (#3184)
  • 9dc5657 Update to GPUToolbox v3. (#3183)
  • f4a33a2 Bump actions/checkout from 6 to 7 (#3182)
  • bc81d40 Bump GPUToolbox and remove the ability to reset devices (#3178)
  • f36a98c Ignore patch versions in LLVM and ptxas compatibility queries (#3176)
  • Additional commits viewable in compare view

Updates FiniteDifferences to 0.12.34

Release notes

Sourced from FiniteDifferences's releases.

v0.12.34

FiniteDifferences v0.12.34

Diff since v0.12.33

Merged pull requests:

  • to_vec: handle UnionAll the same as DataType (non-perturbable) (#249) (@​Keno)

Closed issues:

  • recommend robust method for iteratively calculated functions (#170)
  • TagBot is broken (#246)
Commits

Updates GPUArrays to 11.5.8

Release notes

Sourced from GPUArrays's releases.

v11.5.8

GPUArrays v11.5.8

Diff since v11.5.7

Merged pull requests:

Commits
  • 263c68c Bump version.
  • d3a1f54 1.14 normalize is now gpu-safe (#735)
  • 4b76061 Update Project.toml (#740)
  • a80a517 Reduce testsuite runtime by merging similar reduction testsets (#728)
  • 3fad370 Let findmax/min work with Complex and real-valued f (#738)
  • be38efe Run Metal tests with --all (#736)
  • dca9b7e Update Buildkite pipeline for the new JuliaGPU cluster (#737)
  • fe57c0b Keep Symmetric/Hermitian matmul with BLAS eltypes off BLAS.symm!/hemm!. (#734)
  • c109abe Bump version (#729)
  • 82acaed Support and test mul(C, A, B, alpha, beta) for triangular mats (#727)
  • Additional commits viewable in compare view

Updates ChainRulesCore to 1.26.1

Release notes

Sourced from ChainRulesCore's releases.

v1.26.1

What's Changed

New Contributors

Full Changelog: JuliaDiff/ChainRulesCore.jl@v1.26.0...v1.26.1

Commits
  • 4253bff Fix some tests and bump version (#706)
  • dad0d24 Bump codecov/codecov-action from 5 to 6 (#705)
  • 004e43e Bump actions/checkout from 5 to 6 (#700)
  • 115c282 Bump actions/checkout from 4 to 5 (#699)
  • 414b660 Update Project.toml
  • 124e0cb Merge pull request #698 from ChrisRackauckas-Claude/update-compat-bounds-2025
  • 1d5c651 Update Downgrade.yml
  • 6facda3 Create Downgrade.yml
  • 632c0dc Update compat bounds to exclude releases >1 year old
  • f396d36 Merge pull request #697 from ChrisRackauckas-Claude/bump-julia-v1.10
  • Additional commits viewable in compare view

Updates Mooncake to 0.5.40

Release notes

Sourced from Mooncake's releases.

v0.5.40

Mooncake v0.5.40

Diff since v0.5.39

Merged pull requests:

Closed issues:

  • NNlib.gather is not a primitive while its adjoint NNlib.scatter is — slow reverse-mode AD (#1234)
Changelog

Sourced from Mooncake's changelog.

0.5.32

  • Fix forward-over-reverse Hessian-vector products on closures that capture a Ref wrapped in a NoTangent-typed aggregate, which previously threw UndefRefError. prepare_hvp_cache now eagerly compiles the inner rrule!! together with its forward-mode dual callables and routes the outer forward pass through a new DerivedFoRRule, so the inner IdDict constructor is no longer inlined past Mooncake's rule (#1193, #1202).
  • Fix the gradient of copysign(x, y) with respect to x: the derivative is sign(x) * sign(y), and the missing sign(x) factor previously gave the wrong gradient sign when x < 0 (#1196).
  • Handle mutation of non-const globals (setglobal!) in forward mode on Julia 1.12+ (#1194).
  • Version-bound the Core._call_latest(CoreLogging.handle_message, ...) rule (and its keyword-argument variant) to Julia below 1.12 (#1200).

0.5.31

  • Guard codual_type / fcodual_type against unbound TypeVars (#1191, #1192).

0.5.30

  • Bump the LogExpFunctions compat bound to 1 (#1186).

0.5.29

  • Add a max_fd_step keyword to TestUtils.test_rule that caps the finite-difference step sizes, keeping perturbations of domain-restricted functions (log, sqrt, cholesky) inside their domains (#1173).
  • Pre-allocate and reuse the Hessian, gradient, and basis-direction buffers in the Hessian cache so that repeated value_gradient_and_hessian!! calls avoid allocation (#1178).
  • Add consistency checks for rule reuse (#1172).
  • Mark CUDACore.cudaError_enum as having no tangent (#1175).

0.5.28

  • Throw a clear UnhandledLanguageFeatureException for try / catch blocks in reverse-mode AD instead of an opaque IR-verification failure (#1161).
  • Import the ChainRules svd rule via @from_rrule (#1163, closes #670).
  • Guard the friendly_tangent_cache array branch against NoTangent element types (e.g. SparseMatrixCSC{Int}) (#1150).

0.5.27

  • Add a cached value_and_jacobian!! interface for both forward-mode (chunked) and reverse-mode (row-by-row) caches (#1153).
  • Fix tangent_type for Union{NoRData, RData{...}} (#1133).
  • Add foreigncall zero-derivative rules for jl_get_world_counter and jl_matching_methods, supporting forward-over-reverse over those calls (#1143).
  • Handle Ptr in zero_tangent by delegating to uninit_tangent (#1139).
  • Update the CUDA extension for CUDA + cuDNN 6 (#1148).

0.5.26

  • Add Config(empty_cache=true) to free internal caches before rebuilding rules.
config = Mooncake.Config(empty_cache=true)
cache = Mooncake.prepare_gradient_cache(sin, 1.0; config)

0.5.25

  • Add nfwd: a new N-wide forward-mode implementation built around NDual, with Nfwd / NfwdMooncake internals and broad tests for scalar, array, and rule-building paths.
  • Expand Mooncake's forward-mode interface and caching around nfwd, including prepared derivative/gradient cache improvements and lower-allocation hot paths for repeated calls.
  • Route a broader scalar-math set through nfwd-backed direct primitive frule!! / rrule!! wrappers, reducing dependence on imported ChainRules rules for these cases.

... (truncated)

Commits

Updates AMDGPU to 2.7.0

Release notes

Sourced from AMDGPU's releases.

v2.7.0

AMDGPU v2.7.0

Diff since v2.6.0

Merged pull requests:

Closed issues:

  • SVD not consistently working with ROCArrays (#837)
  • Scalar indexing with multiplication between a scalar and the adjoint of ROC sparse matrices (#854)
  • Generalized eigensolver for Hermitian matrices fails (#903)
  • ROCSparseMatrxCSC{<:Complex}*ROCMatrix{<:Real} triggers allowscalar error (#904)
  • Improve MI300 CI (#948)
Commits

Updates Enzyme to 0.13.190

Release notes

Sourced from Enzyme's releases.

v0.13.190

Enzyme v0.13.190

Diff since v0.13.189

Merged pull requests:

Closed issues:

  • Errors and wrong results when calculating hessian (#2072)
Commits

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@dependabot
Bump the all-julia-packages group with 11 updates
81fd7f2 
Updates the requirements on [TupleTools](https://github.com/Jutho/TupleTools.jl), [TensorKitSectors](https://github.com/QuantumKitHub/TensorKitSectors.jl), [TensorOperations](https://github.com/QuantumKitHub/TensorOperations.jl), [Adapt](https://github.com/JuliaGPU/Adapt.jl), [CUDA](https://github.com/JuliaGPU/CUDA.jl), [FiniteDifferences](https://github.com/JuliaDiff/FiniteDifferences.jl), [GPUArrays](https://github.com/JuliaGPU/GPUArrays.jl), [ChainRulesCore](https://github.com/JuliaDiff/ChainRulesCore.jl), [Mooncake](https://github.com/chalk-lab/Mooncake.jl), [AMDGPU](https://github.com/JuliaGPU/AMDGPU.jl) and [Enzyme](https://github.com/EnzymeAD/Enzyme.jl) to permit the latest version.

Updates `TupleTools` to 1.6.0
- [Release notes](https://github.com/Jutho/TupleTools.jl/releases)
- [Commits](Jutho/TupleTools.jl@v1.5.0...v1.6.0)

Updates `TensorKitSectors` to 0.3.9
- [Release notes](https://github.com/QuantumKitHub/TensorKitSectors.jl/releases)
- [Commits](QuantumKitHub/TensorKitSectors.jl@v0.3.7...v0.3.9)

Updates `TensorOperations` to 5.6.2
- [Release notes](https://github.com/QuantumKitHub/TensorOperations.jl/releases)
- [Commits](QuantumKitHub/TensorOperations.jl@v5.6.0...v5.6.2)

Updates `Adapt` to 4.7.0
- [Release notes](https://github.com/JuliaGPU/Adapt.jl/releases)
- [Commits](JuliaGPU/Adapt.jl@v4.0.0...v4.7.0)

Updates `CUDA` to 6.2.1
- [Release notes](https://github.com/JuliaGPU/CUDA.jl/releases)
- [Commits](JuliaGPU/CUDA.jl@v6.0.0...v6.2.1)

Updates `FiniteDifferences` to 0.12.34
- [Release notes](https://github.com/JuliaDiff/FiniteDifferences.jl/releases)
- [Commits](JuliaDiff/FiniteDifferences.jl@v0.12.0...v0.12.34)

Updates `GPUArrays` to 11.5.8
- [Release notes](https://github.com/JuliaGPU/GPUArrays.jl/releases)
- [Commits](JuliaGPU/GPUArrays.jl@v11.4.1...v11.5.8)

Updates `ChainRulesCore` to 1.26.1
- [Release notes](https://github.com/JuliaDiff/ChainRulesCore.jl/releases)
- [Commits](JuliaDiff/ChainRulesCore.jl@v1.0.0...v1.26.1)

Updates `Mooncake` to 0.5.40
- [Release notes](https://github.com/chalk-lab/Mooncake.jl/releases)
- [Changelog](https://github.com/chalk-lab/Mooncake.jl/blob/main/HISTORY.md)
- [Commits](chalk-lab/Mooncake.jl@v0.5.27...v0.5.40)

Updates `AMDGPU` to 2.7.0
- [Release notes](https://github.com/JuliaGPU/AMDGPU.jl/releases)
- [Commits](JuliaGPU/AMDGPU.jl@v2.0.0...v2.7.0)

Updates `Enzyme` to 0.13.190
- [Release notes](https://github.com/EnzymeAD/Enzyme.jl/releases)
- [Commits](EnzymeAD/Enzyme.jl@v0.13.157...v0.13.190)

---
updated-dependencies:
- dependency-name: TupleTools
  dependency-version: 1.6.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: TensorKitSectors
  dependency-version: 0.3.9
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: TensorOperations
  dependency-version: 5.6.2
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Adapt
  dependency-version: 4.7.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: CUDA
  dependency-version: 6.2.1
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: FiniteDifferences
  dependency-version: 0.12.34
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: GPUArrays
  dependency-version: 11.5.8
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: ChainRulesCore
  dependency-version: 1.26.1
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Mooncake
  dependency-version: 0.5.40
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: AMDGPU
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Enzyme
  dependency-version: 0.13.190
  dependency-type: direct:production
  dependency-group: all-julia-packages
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Jul 21, 2026
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