Package evaluation of TensorOperations on Julia 1.13.0-DEV.759 (3bb7518b04*) started at 2025-06-19T20:15:23.210 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.14s ################################################################################ # Installation # Installing TensorOperations... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [6aa20fa7] + TensorOperations v5.2.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [8ac3fa9e] + LRUCache v1.6.2 [65ce6f38] + PackageExtensionCompat v1.0.2 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [43287f4e] + PtrArrays v1.3.0 [5e0ebb24] + Strided v2.3.0 [4db3bf67] + StridedViews v0.4.1 [6aa20fa7] + TensorOperations v5.2.0 [9d95972d] + TupleTools v1.6.0 [409d34a3] + VectorInterface v0.5.0 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [de0858da] + Printf v1.11.0 [fa267f1f] + TOML v1.0.3 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.12.0+0 Installation completed after 3.03s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 33.09s ################################################################################ # Testing # Testing TensorOperations Status `/tmp/jl_LLLj0t/Project.toml` [4c88cf16] Aqua v0.8.13 [8ce10254] Bumper v0.7.1 [052768ef] CUDA v5.8.2 [cdddcdb0] ChainRulesTestUtils v1.13.0 ⌅ [7c1d4256] DynamicPolynomials v0.5.7 [8ac3fa9e] LRUCache v1.6.2 [65ce6f38] PackageExtensionCompat v1.0.2 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [43287f4e] PtrArrays v1.3.0 [5e0ebb24] Strided v2.3.0 [4db3bf67] StridedViews v0.4.1 [6aa20fa7] TensorOperations v5.2.0 [9d95972d] TupleTools v1.6.0 [409d34a3] VectorInterface v0.5.0 [011b41b2] cuTENSOR v2.2.3 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_LLLj0t/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.13 [a9b6321e] Atomix v1.1.1 [ab4f0b2a] BFloat16s v0.5.1 [8ce10254] Bumper v0.7.1 [fa961155] CEnum v0.5.0 [052768ef] CUDA v5.8.2 [1af6417a] CUDA_Runtime_Discovery v0.3.5 [d360d2e6] ChainRulesCore v1.25.1 [cdddcdb0] ChainRulesTestUtils v1.13.0 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [34da2185] Compat v4.16.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 ⌅ [7c1d4256] DynamicPolynomials v0.5.7 [e2ba6199] ExprTools v0.1.10 [26cc04aa] FiniteDifferences v0.12.32 [53c48c17] FixedPointNumbers v0.8.5 [0c68f7d7] GPUArrays v11.2.2 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.5.2 [096a3bc2] GPUToolbox v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [842dd82b] InlineStrings v1.4.4 [41ab1584] InvertedIndices v1.3.1 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [63c18a36] KernelAbstractions v0.9.35 [929cbde3] LLVM v9.4.1 [8b046642] LLVMLoopInfo v1.0.0 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [102ac46a] MultivariatePolynomials v0.5.9 [d8a4904e] MutableArithmetics v1.6.4 [5da4648a] NVTX v1.0.0 [bac558e1] OrderedCollections v1.8.1 [65ce6f38] PackageExtensionCompat v1.0.2 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [43287f4e] PtrArrays v1.3.0 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [708f8203] Richardson v1.4.2 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.2.1 [91c51154] SentinelArrays v1.4.8 [a2af1166] SortingAlgorithms v1.2.1 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [5e0ebb24] Strided v2.3.0 [4db3bf67] StridedViews v0.4.1 [892a3eda] StringManipulation v0.4.1 [fd094767] Suppressor v0.2.8 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [6aa20fa7] TensorOperations v5.2.0 [e689c965] Tracy v0.1.4 [9d95972d] TupleTools v1.6.0 [c4a57d5a] UnsafeArrays v1.0.8 [013be700] UnsafeAtomics v0.3.0 [409d34a3] VectorInterface v0.5.0 [011b41b2] cuTENSOR v2.2.3 [4ee394cb] CUDA_Driver_jll v0.13.1+0 [76a88914] CUDA_Runtime_jll v0.17.1+0 [35b6c64b] CUTENSOR_jll v2.2.0+0 [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] LLVMExtra_jll v0.0.37+2 [ad6e5548] LibTracyClient_jll v0.9.1+6 [e98f9f5b] NVTX_jll v3.2.1+0 [1e29f10c] demumble_jll v1.3.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.14.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Test Summary: | Pass Total Time tensoropt | 5 5 1m22.4s Optimal contraction order | 3 3 0.0s Issue #206 | 2 2 6.6s Test Summary: | Pass Total Time auxiliary | 170 170 15.3s macro methods | 95 95 4.6s methods for tensoropt | 49 49 4.3s methods for indices | 26 26 5.8s Test Summary: | Pass Total Time macro keywords | 12 12 1m51.8s backend | 3 3 1m01.8s contractcheck | 2 2 3.0s costcheck | 6 6 13.1s opt | 1 1 8.5s Test Summary: | Pass Total Time method syntax | 184 184 5m51.0s simple methods with backend = BaseCopy() | 23 23 1m02.9s simple methods with backend = BaseView() | 23 23 21.5s simple methods with backend = StridedNative() | 23 23 52.1s simple methods with backend = StridedBLAS() | 23 23 1m09.1s in-place methods with backend BaseCopy() | 23 23 51.5s in-place methods with backend BaseView() | 23 23 8.4s in-place methods with backend StridedNative() | 23 23 19.9s in-place methods with backend StridedBLAS() | 23 23 57.2s Test Summary: | Pass Total Time macro with index notation | 514 514 16m26.8s with backend BaseCopy() | 68 68 6m49.3s with backend BaseView() | 68 68 1m33.2s with backend StridedNative() | 68 68 3m29.5s with backend StridedBLAS() | 61 61 55.4s tensoropt | 6 6 0.8s Diagonal(Float32) | 57 57 29.9s Diagonal(Float64) | 57 57 29.5s Diagonal(ComplexF32) | 57 57 51.7s Diagonal(ComplexF64) | 57 57 49.8s Specific issues | 15 15 32.9s ┌ Warning: inference tests have been disabled └ @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_config.jl:13 Precompiling packages... 5147.3 ms ✓ TensorOperations → TensorOperationsChainRulesCoreExt 1 dependency successfully precompiled in 5 seconds. 19 already precompiled. Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensorcontract!), C, A, pA::Tuple{NTuple{N₁, Int64}, NTuple{N₂, Int64}} where {N₁, N₂}, conjA::Bool, B, pB::Tuple{NTuple{N₁, Int64}, NTuple{N₂, Int64}} where {N₁, N₂}, conjB::Bool, pAB::Tuple{NTuple{N₁, Int64}, NTuple{N₂, Int64}} where {N₁, N₂}, α::Number, β::Number, ba...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:144 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(ChainRulesCore._usethunks)) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/tangent_types/thunks.jl:3 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensoralloc), ttype, structure, istemp) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:29 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensoralloc), ttype, structure, istemp, allocator) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:29 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.ncontree), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:297 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensortrace!), C, A, p::Tuple{NTuple{N₁, Int64}, NTuple{N₂, Int64}} where {N₁, N₂}, q::Tuple{NTuple{N₁, Int64}, NTuple{N₂, Int64}} where {N₁, N₂}, conjA::Bool, α::Number, β::Number, ba...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:235 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.indexordertree), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:300 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensorstructure), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:14 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(ChainRulesCore.ignore_derivatives), f; ...) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/ignore_derivatives.jl:40 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensoradd_type), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:16 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensorcontract_structure), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:18 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensoralloc_contract), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:20 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.nconoutput), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:298 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensoradd_structure), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:15 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensoradd!), C, A, pA::Tuple{NTuple{N₁, Int64}, NTuple{N₂, Int64}} where {N₁, N₂}, conjA::Bool, α::Number, β::Number, ba...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:71 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensorscalar), C) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:39 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.isnconstyle), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:299 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensorfree!)) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:24 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(tensorfree!), allocator) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:24 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensorcontract_type), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:19 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::typeof(TensorOperations.tensoralloc_add), args...; ...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:17 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::Type{T}, xs::Number...) where T<:(SVector) @ StaticArraysChainRulesCoreExt ~/.julia/packages/StaticArrays/LSPcF/ext/StaticArraysChainRulesCoreExt.jl:34 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::Type{T}, x::Tuple) where T<:SArray @ StaticArraysChainRulesCoreExt ~/.julia/packages/StaticArrays/LSPcF/ext/StaticArraysChainRulesCoreExt.jl:28 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::ChainRulesCore.RuleConfig, args...) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/rules.jl:138 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor rrule. `typeof(T)` used rather than `Type{T}`. rrule(::Any, ...) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/rules.jl:135 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.rrule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:33 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:71 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::ChainRulesCore.RuleConfig, args...) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/rules.jl:66 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensoralloc_contract), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:20 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensoralloc_add), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:17 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.ncontree), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:297 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.isnconstyle), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:299 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.indexordertree), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:300 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensorstructure), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:14 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(ChainRulesCore.ignore_derivatives), f) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/ignore_derivatives.jl:40 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensoradd_type), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:16 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.nconoutput), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:298 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensorcontract_structure), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:18 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensorcontract_type), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:19 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(::Tuple, ::typeof(TensorOperations.tensoradd_structure), args...) @ TensorOperationsChainRulesCoreExt ~/.julia/packages/TensorOperations/jVddt/ext/TensorOperationsChainRulesCoreExt.jl:15 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 Sensible Constructors: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 Test threw exception Expression: function_type ∉ (DataType, UnionAll, Union) Problem: Bad constructor frule. `typeof(T)` used rather than `Type{T}`. frule(ȧrgs, f, ...) @ ChainRulesCore ~/.julia/packages/ChainRulesCore/U6wNx/src/rules.jl:63 UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_method_signature(::typeof(ChainRulesCore.frule), method::Method) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:48 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:75 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_method_tables() @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_checks.jl:70 [6] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:6 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [10] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ none:6 [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [15] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float64, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float64, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float64, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float64, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float32, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float32, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float32, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedBLAS}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{Float64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{Float32, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, Float64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{Float64, 3},Array{Float32, 5},Int64,Int64,Int64,,Int64,Int64,Bool,Float64,Float64,StridedNative: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, NTuple{9, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{Float64, 3}, Array{Float32, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, Float64, Float64, ChainRulesCore.NoTangent}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{Float64, 3}, Float64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Float64, Tuple{StridedNative}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{Float64, 3}, Array{Float32, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{Float64, 3}, Array{Float64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{StridedNative}, ChainRulesCore.ProjectTo{Float64, @NamedTuple{}}}}, ChainRulesCore.NoTangent}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:29 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{ComplexF64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{ComplexF64, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, ComplexF64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, ComplexF64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:25 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{ComplexF64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 3, 2×3×4×2×5 Array{ComplexF64, 5} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 7, ComplexF64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 8, ComplexF64 UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: in add!! UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] _test_add!!_behaviour(acc::Any, val::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:188 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:313 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:60 [10] foldl_impl @ ./reduce.jl:46 [inlined] [11] mapfoldl_impl(f::typeof(identity), op::Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}, nt::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}) @ Base ./reduce.jl:42 [12] mapfoldl(f::Function, op::Function, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, NTuple{8, String}}}; init::Nothing) @ Base ./reduce.jl:173 [13] mapfoldl @ ./reduce.jl:173 [inlined] [14] #foldl#271 @ ./reduce.jl:196 [inlined] [15] foreach(::ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}, ::Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64}, ::Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, ComplexF64, Tuple{}, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::NTuple{5, Base.OneTo{Int64}}}}}}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##9#_rrule_tensortrace!##10"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{Tuple{Int64}, Tuple{Int64}}, Bool, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##11#_rrule_tensortrace!##12"{Array{ComplexF64, 3}, Array{ComplexF64, 3}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple{}, ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}}}}, ::Vararg{Tuple}) @ Base ./tuple.jl:679 [16] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:235 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [18] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [19] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [20] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:26 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [22] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [26] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] top-level scope @ none:6 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [31] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: Failed primal value check UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:216 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [5] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [6] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [7] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [9] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [13] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [18] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 Test threw exception Expression: ad_cotangents isa Tuple Problem: The pullback must return a Tuple (∂self, ∂args...) UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:222 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 Test threw exception Expression: length(ad_cotangents) == length(primals) Problem: The pullback should return 1 cotangent for the primal and each primal input. UndefVarError: `eval_test_comparison` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] macro expansion @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:226 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [4] test_rrule(::ChainRulesCore.RuleConfig, ::Any, ::Any, ::Vararg{Any}; output_tangent::Any, check_thunked_output_tangent::Any, fdm::Any, rrule_f::Any, check_inferred::Bool, fkwargs::NamedTuple, rtol::Real, atol::Real, testset_name::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:205 [5] test_rrule(::Any, ::Vararg{Any}; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:178 [6] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:28 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1926 [inlined] [8] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/ad.jl:1949 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1837 [inlined] [12] macro expansion @ ~/.julia/packages/TensorOperations/jVddt/test/runtests.jl:27 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:290 [17] _start() @ Base ./client.jl:557 test_rrule: tensortrace! on Array{ComplexF64, 3},Array{ComplexF64, 5},Int64,Int64,Int64,,Int64,Int64,Bool,ComplexF64,ComplexF64,StridedBLAS: Error During Test at /home/pkgeval/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 Test threw exception Expression: isapprox(actual, expected; kwargs...) Problem: cotangent for input 2, 4×5×3 Array{ComplexF64, 3} UndefVarError: `eval_test_function` not defined in `ChainRulesTestUtils` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [2] test_approx(actual::Union{Number, AbstractArray{<:Number}}, expected::Union{Number, AbstractArray{<:Number}}, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:24 [3] test_approx(actual::ChainRulesCore.AbstractThunk, expected::Any, msg::Any; kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/check_result.jl:38 [4] _test_cotangent(accum_cotangent::Any, ad_cotangent::Any, fd_cotangent::Any, msg::Any; check_inferred::Any, kwargs...) @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:312 [5] _test_cotangent @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:301 [inlined] [6] #66 @ ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/testers.jl:236 [inlined] [7] #foreach##2 @ ./tuple.jl:679 [inlined] [8] BottomRF @ ./reduce.jl:84 [inlined] [9] _foldl_impl(op::Base.BottomRF{Base.var"#foreach##2#foreach##3"{ChainRulesTestUtils.var"#66#67"{Bool, @NamedTuple{rtol::Float64, atol::Float64}}}}, init::Nothing, itr::Base.Iterators.Zip{Tuple{Tuple{ChainRulesCore.NoTangent, Array{ComplexF64, 3}, Array{ComplexF64, 5}, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ChainRulesCore.NoTangent, ComplexF64, ComplexF64, ChainRulesCore.NoTangent}, Tuple{ChainRulesCore.NoTangent, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##1#_rrule_tensortrace!##2"{Array{ComplexF64, 3}, ComplexF64, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{ComplexF64, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}}}}, ChainRulesCore.Thunk{TensorOperationsChainRulesCoreExt.var"#_rrule_tensortrace!##3#_rrule_tensortrace!##4"{Array{ComplexF64, 3}, Array{ComplexF64, 5}, Tuple{Tuple{Int64, Int64, Int64}, Tuple{}}, Tuple PkgEval terminated after 1908.38s: test log exceeded the size limit