Package evaluation to test ADCME on Julia 1.14.0-DEV.1299 (6d6224db99*) started at 2025-11-27T19:17:57.515 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.92s ################################################################################ # Installation # Installing ADCME... Resolving package versions... Installed MKL_jll ─────────────── v2025.2.0+0 Installed MacroTools ──────────── v0.5.16 Installed MPICH_jll ───────────── v4.3.2+0 Installed oneTBB_jll ──────────── v2022.0.0+1 Installed libaec_jll ──────────── v1.1.4+0 Installed VersionParsing ──────── v1.3.0 Installed CodecZlib ───────────── v0.7.8 Installed TranscodingStreams ──── v0.11.3 Installed IntelOpenMP_jll ─────── v2025.2.0+0 Installed Xorg_libpciaccess_jll ─ v0.18.1+0 Installed MicrosoftMPI_jll ────── v10.1.4+3 Installed Compat ──────────────── v4.18.1 Installed Conda ───────────────── v1.10.3 Installed Statistics ──────────── v1.11.1 Installed PrecompileTools ─────── v1.3.3 Installed ChainRulesCore ──────── v1.26.0 Installed StructUtils ─────────── v2.6.0 Installed OpenSpecFun_jll ─────── v0.5.6+0 Installed AbstractFFTs ────────── v1.5.0 Installed Requires ────────────── v1.3.1 Installed PyCall ──────────────── v1.96.4 Installed HDF5_jll ────────────── v1.14.6+0 Installed LogExpFunctions ─────── v0.3.29 Installed IrrationalConstants ─── v0.1.1 Installed OpenMPI_jll ─────────── v5.0.9+0 Installed BufferedStreams ─────── v1.2.2 Installed CMake ───────────────── v1.2.0 Installed Parsers ─────────────── v2.8.3 Installed XML2_jll ────────────── v2.13.9+0 Installed Hwloc_jll ───────────── v2.12.2+0 Installed URIParser ───────────── v0.4.1 Installed JSON ────────────────── v1.3.0 Installed SpecialFunctions ────── v1.8.8 Installed MPIPreferences ──────── v0.1.11 Installed FFTW_jll ────────────── v3.3.11+0 Installed Reexport ────────────── v1.2.2 Installed FFTW ────────────────── v1.10.0 Installed Preferences ─────────── v1.5.0 Installed ADCME ───────────────── v0.7.3 Installed JLLWrappers ─────────── v1.7.1 Installed Libiconv_jll ────────── v1.18.0+0 Installed MPItrampoline_jll ───── v5.5.4+0 Installed BinDeps ─────────────── v1.0.2 Installed DocStringExtensions ─── v0.9.5 Installed MAT ─────────────────── v0.10.7 Installed HDF5 ────────────────── v0.17.2 Installing 9 artifacts Installed artifact libaec 49.6 KiB Installed artifact Xorg_libpciaccess 24.8 KiB Installed artifact OpenSpecFun 194.9 KiB Installed artifact FFTW 2.2 MiB Installed artifact XML2 2.5 MiB Installed artifact Libiconv 1.9 MiB Installed artifact Hwloc 3.5 MiB Installed artifact MPICH 3.3 MiB Installed artifact HDF5 5.7 MiB Updating `~/.julia/environments/v1.14/Project.toml` [07b341a0] + ADCME v0.7.3 Updating `~/.julia/environments/v1.14/Manifest.toml` [07b341a0] + ADCME v0.7.3 [621f4979] + AbstractFFTs v1.5.0 [9e28174c] + BinDeps v1.0.2 [e1450e63] + BufferedStreams v1.2.2 [631607c0] + CMake v1.2.0 [d360d2e6] + ChainRulesCore v1.26.0 [944b1d66] + CodecZlib v0.7.8 [34da2185] + Compat v4.18.1 [8f4d0f93] + Conda v1.10.3 [ffbed154] + DocStringExtensions v0.9.5 [7a1cc6ca] + FFTW v1.10.0 [f67ccb44] + HDF5 v0.17.2 ⌅ [92d709cd] + IrrationalConstants v0.1.1 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [23992714] + MAT v0.10.7 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.16 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [438e738f] + PyCall v1.96.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 ⌅ [276daf66] + SpecialFunctions v1.8.8 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.6.0 [3bb67fe8] + TranscodingStreams v0.11.3 [30578b45] + URIParser v0.4.1 [81def892] + VersionParsing v1.3.0 [f5851436] + FFTW_jll v3.3.11+0 ⌅ [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [856f044c] + MKL_jll v2025.2.0+0 [7cb0a576] + MPICH_jll v4.3.2+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.9+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [477f73a3] + libaec_jll v1.1.4+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 [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 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap 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 v1.0.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.17.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Building CMake ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/50a8b41d2c562fccd9ab841085fc7d1e2706da82/build.log` Building ADCME ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/4ecfc24dbdf551f92b5de7ea2d99da3f7fde73c9/build.log` Installation completed after 1450.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... WARNING: Imported binding Operations.project_rel_path was undeclared at import time during import to TestEnv. 4991.9 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. 1 dependency had output during precompilation: ┌ TestEnv │ WARNING: Imported binding Operations.project_rel_path was undeclared at import time during import to TestEnv. └ ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 3827.4 ms ✓ MacroTools 684.7 ms ✓ Reexport 917.3 ms ✓ Statistics 1572.2 ms ✓ IrrationalConstants 1123.0 ms ✓ Requires 1094.3 ms ✓ DocStringExtensions 938.5 ms ✓ VersionParsing 1103.8 ms ✓ AbstractFFTs 1038.9 ms ✓ BufferedStreams 1322.6 ms ✓ TranscodingStreams 1184.9 ms ✓ URIParser 1455.9 ms ✓ StructUtils 1167.4 ms ✓ Compat 1180.4 ms ✓ Preferences 1365.5 ms ✓ Statistics → SparseArraysExt 1433.4 ms ✓ LogExpFunctions 974.6 ms ✓ CodecZlib 5722.4 ms ✓ BinDeps 918.7 ms ✓ Compat → CompatLinearAlgebraExt 1357.7 ms ✓ JLLWrappers 1455.9 ms ✓ MPIPreferences 997.7 ms ✓ PrecompileTools 893.4 ms ✓ CMake 2377.7 ms ✓ ChainRulesCore 1396.4 ms ✓ libaec_jll 3940.4 ms ✓ IntelOpenMP_jll 1260.2 ms ✓ Xorg_libpciaccess_jll 1211.9 ms ✓ Libiconv_jll 4020.6 ms ✓ oneTBB_jll 1257.4 ms ✓ FFTW_jll 982.7 ms ✓ MicrosoftMPI_jll 1203.6 ms ✓ OpenSpecFun_jll 3620.1 ms ✓ MPItrampoline_jll 12295.1 ms ✓ Parsers 1144.1 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 813.9 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 2374.4 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1301.8 ms ✓ XML2_jll  Downloading artifact: IntelOpenMP  Downloading artifact: oneTBB 10733.6 ms ✓ MKL_jll 7025.4 ms ✓ JSON 7162.7 ms ✓ SpecialFunctions 1355.7 ms ✓ Hwloc_jll 6574.0 ms ✓ FFTW 2423.0 ms ✓ Conda 5186.5 ms ✓ MPICH_jll 4802.2 ms ✓ OpenMPI_jll 22418.4 ms ✓ PyCall 5574.5 ms ✓ HDF5_jll 15049.8 ms ✓ HDF5 7678.2 ms ✓ MAT WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 12591.7 ms ? ADCME 50 dependencies successfully precompiled in 182 seconds. 33 already precompiled. 1 dependencies failed but may be precompilable after restarting julia 2 dependencies had output during precompilation: ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ ┌ ADCME │ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. │ WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. │ WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. │ WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ Precompilation completed after 196.96s ################################################################################ # Testing # Testing ADCME Status `/tmp/jl_3r8Zm0/Project.toml` [07b341a0] ADCME v0.7.3 [631607c0] CMake v1.2.0 [7a1cc6ca] FFTW v1.10.0 ⌅ [23992714] MAT v0.10.7 [76087f3c] NLopt v1.2.1 [429524aa] Optim v1.13.3 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 ⌅ [276daf66] SpecialFunctions v1.8.8 [10745b16] Statistics v1.11.1 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_3r8Zm0/Manifest.toml` [07b341a0] ADCME v0.7.3 [47edcb42] ADTypes v1.19.0 [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.22.0 [9e28174c] BinDeps v1.0.2 [e1450e63] BufferedStreams v1.2.2 [fa961155] CEnum v0.5.0 [631607c0] CMake v1.2.0 [d360d2e6] ChainRulesCore v1.26.0 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.12 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [7a1cc6ca] FFTW v1.10.0 [1a297f60] FillArrays v1.15.0 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.3.0 [f67ccb44] HDF5 v0.17.2 ⌅ [92d709cd] IrrationalConstants v0.1.1 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.3.0 [b964fa9f] LaTeXStrings v1.4.0 [d3d80556] LineSearches v7.5.1 [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [23992714] MAT v0.10.7 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [d41bc354] NLSolversBase v7.10.0 [76087f3c] NLopt v1.2.1 [77ba4419] NaNMath v1.1.3 [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.2 ⌅ [276daf66] SpecialFunctions v1.8.8 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.8 [ec057cc2] StructUtils v2.6.0 [3bb67fe8] TranscodingStreams v0.11.3 [30578b45] URIParser v0.4.1 [81def892] VersionParsing v1.3.0 [f5851436] FFTW_jll v3.3.11+0 ⌅ [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.2+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [94ce4f54] Libiconv_jll v1.18.0+0 [856f044c] MKL_jll v2025.2.0+0 [7cb0a576] MPICH_jll v4.3.2+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [079eb43e] NLopt_jll v2.10.0+0 [fe0851c0] OpenMPI_jll v5.0.9+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+0 [477f73a3] libaec_jll v1.1.4+0 [1317d2d5] oneTBB_jll v2022.0.0+1 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed 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 v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap 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 v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v8.17.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 1 dependency had output during precompilation: ┌ ADCME │ [Output was shown above] └ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. WARNING: Method definition length(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:819 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:238. WARNING: Method definition lastindex(PyCall.PyObject) in module PyCall at deprecated.jl:214 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:454. WARNING: Method definition *(PyCall.PyObject, PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/pyoperators.jl:11 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/ops.jl:104. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids. OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 44 OMP: Info #156: KMP_AFFINITY: 1 available OS procs OMP: Info #157: KMP_AFFINITY: Uniform topology OMP: Info #159: KMP_AFFINITY: 1 packages x 1 cores/pkg x 1 threads/core (1 total cores) OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map: OMP: Info #171: KMP_AFFINITY: OS proc 44 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 12864 tid 12864 thread 0 bound to OS proc set 44 ┌ Warning: Cannot load /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build/libadcme.so. Please recompile the shared library by `ADCME.precompile()` for using custom operators. └ @ ADCME ~/.julia/packages/ADCME/94vEM/src/ADCME.jl:78 Requirement already satisfied: matplotlib in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (3.3.1) Requirement already satisfied: cycler>=0.10 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (0.10.0) Requirement already satisfied: certifi>=2020.06.20 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2020.6.20) Requirement already satisfied: kiwisolver>=1.0.1 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.2.0) Requirement already satisfied: python-dateutil>=2.1 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2.8.1) Requirement already satisfied: numpy>=1.15 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.19.1) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2.4.7) Requirement already satisfied: pillow>=6.2.0 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (7.2.0) Requirement already satisfied: six in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0) 2025-11-27 19:50:04.008373: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags. 2025-11-27 19:50:04.017451: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2500000000 Hz 2025-11-27 19:50:04.017645: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x649b820 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-11-27 19:50:04.017656: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version [✔️] Julia version [✔️] TensorFlow version [✔️] Python executable file [✔️] Julia path [✔️] Dynamic library path [✔️] Memory Address Length = 64 [✘] Binaries path [Reason] /home/pkgeval/.julia/adcme/bin is not in PATH. This path contains compatible tools such as a GCC compiler, `cmake`, `make`, or any other tools you want to use directly from terminal. However, setting the path is NOT a requirement, and ADCME works totally fine without any action. [Instruction] (Optional) Add your binary path to your environment path, e.g. (Unix systems) export PATH=/home/pkgeval/.julia/adcme/bin:$PATH For convenience, you can add the above line to your `~/.bashrc` (Linux) or `~/.bash_profile` (Apple). For Windows, you need to add it to system environment. [✘] GPU Support (Optional) [Reason] ADCME is not compiled against GPU. [Instruction] If you intend to use GPU, set ENV["GPU"] = 1 and then rebuild ADCME. ============================================================ /home/pkgeval/.julia/packages/ADCME/94vEM/deps/deps.jl ============================================================ BINDIR = "/home/pkgeval/.julia/adcme/bin" LIBDIR = "/home/pkgeval/.julia/adcme/lib" TF_INC = "/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/include" TF_ABI = "1" PREFIXDIR = "/home/pkgeval/.julia/adcme/lib/Libraries" CC = "/home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc" CXX = "/home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++" CMAKE = "/home/pkgeval/.julia/adcme/bin/cmake" MAKE = "/home/pkgeval/.julia/adcme/bin/make" GIT = "LibGit2" PYTHON = "/home/pkgeval/.julia/adcme/bin/python" TF_LIB_FILE = "/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/libtensorflow_framework.so.1" LIBCUDA = "" CUDA_INC = "" NINJA = "/home/pkgeval/.julia/adcme/bin/ninja" INCDIR = "/home/pkgeval/.julia/adcme/include" __STR__ = join([BINDIR,LIBDIR,TF_INC,TF_ABI,PREFIXDIR,CC,CXX,CMAKE,MAKE,GIT,PYTHON,TF_LIB_FILE,LIBCUDA,CUDA_INC,NINJA,INCDIR], ";") 2025-11-27 19:50:06.005860: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. Test Summary: | Pass Total Time indexing for rank 3 tensors | 3 3 14.1s [ Info: Changed to directory /home/pkgeval/.julia/adcme/lib/Libraries [ Info: Cloning from https://github.com/ADCMEMarket/Adept-2 to Adept-2... [ Info: Cloned https://github.com/ADCMEMarket/Adept-2 to Adept-2 [ Info: Made directory directory [ Info: Changed to directory build -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done JULIA=/opt/julia/bin/julia WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 1 dependency had output during precompilation: ┌ ADCME │ [Output was shown above] └ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids. OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 44 OMP: Info #156: KMP_AFFINITY: 1 available OS procs OMP: Info #157: KMP_AFFINITY: Uniform topology OMP: Info #159: KMP_AFFINITY: 1 packages x 1 cores/pkg x 1 threads/core (1 total cores) OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map: OMP: Info #171: KMP_AFFINITY: OS proc 44 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 13147 tid 13147 thread 0 bound to OS proc set 44 ┌ Warning: Cannot load /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build/libadcme.so. Please recompile the shared library by `ADCME.precompile()` for using custom operators. └ @ ADCME ~/.julia/packages/ADCME/94vEM/src/ADCME.jl:78 Python path=/home/pkgeval/.julia/adcme/bin/python PREFIXDIR=/home/pkgeval/.julia/adcme/lib/Libraries TF_INC=/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/include TF_ABI=1 TF_LIB_FILE=/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/libtensorflow_framework.so.1 Use openblas library /home/pkgeval/.julia/adcme/lib/libopenblas.so -- Configuring done -- Generating done -- Build files have been written to: /home/pkgeval/.julia/adcme/lib/Libraries/Adept-2/adept/build [1/12] Building CXX object CMakeFiles/adept.dir/StackStorageOrig.cpp.o [2/12] Building CXX object CMakeFiles/adept.dir/cppblas.cpp.o [3/12] Building CXX object CMakeFiles/adept.dir/settings.cpp.o [4/12] Building CXX object CMakeFiles/adept.dir/Storage.cpp.o [5/12] Building CXX object CMakeFiles/adept.dir/index.cpp.o [6/12] Building CXX object CMakeFiles/adept.dir/Array.cpp.o [7/12] Building CXX object CMakeFiles/adept.dir/Stack.cpp.o [8/12] Building CXX object CMakeFiles/adept.dir/inv.cpp.o [9/12] Building CXX object CMakeFiles/adept.dir/vector_utilities.cpp.o [10/12] Building CXX object CMakeFiles/adept.dir/jacobian.cpp.o [11/12] Building CXX object CMakeFiles/adept.dir/solve.cpp.o [12/12] Linking CXX shared library /home/pkgeval/.julia/adcme/lib/libadept.so [ Info: Made directory directory [ Info: Changed to directory /home/pkgeval/.julia/packages/ADCME/94vEM/deps/Plugin/ExtendedNN/build -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done JULIA=/opt/julia/bin/julia WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 1 dependency had output during precompilation: ┌ ADCME │ [Output was shown above] └ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids. OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 44 OMP: Info #156: KMP_AFFINITY: 1 available OS procs OMP: Info #157: KMP_AFFINITY: Uniform topology OMP: Info #159: KMP_AFFINITY: 1 packages x 1 cores/pkg x 1 threads/core (1 total cores) OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map: OMP: Info #171: KMP_AFFINITY: OS proc 44 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 13609 tid 13609 thread 0 bound to OS proc set 44 ┌ Warning: Cannot load /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build/libadcme.so. Please recompile the shared library by `ADCME.precompile()` for using custom operators. └ @ ADCME ~/.julia/packages/ADCME/94vEM/src/ADCME.jl:78 Python path=/home/pkgeval/.julia/adcme/bin/python PREFIXDIR=/home/pkgeval/.julia/adcme/lib/Libraries TF_INC=/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/include TF_ABI=1 TF_LIB_FILE=/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/libtensorflow_framework.so.1 ADEPT_LIB_FILE=/home/pkgeval/.julia/adcme/lib/libadept.so BLAS Library = /home/pkgeval/.julia/adcme/lib/libopenblas.so -- Configuring done -- Generating done -- Build files have been written to: /home/pkgeval/.julia/packages/ADCME/94vEM/deps/Plugin/ExtendedNN/build [1/2] Building CXX object CMakeFiles/ExtendedNn.dir/ExtendedNn.cpp.o [2/2] Linking CXX shared library libExtendedNn.so Load library operator (with gradient, multiple outputs = true): /home/pkgeval/.julia/packages/ADCME/94vEM/deps/Plugin/ExtendedNN/build/libExtendedNn.so ==> extended_nn Test Summary: | Pass Total Time fcx | 4 4 7m13.2s Test Summary: | Pass Total Time dropout | 2 2 0.7s [ Info: /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build/libadcme.so does not exist. Precompiling... [ Info: Made directory directory [ Info: Changed to directory build -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done JULIA=/opt/julia/bin/julia WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. WARNING: Method definition size(PyCall.PyObject) in module PyCall at /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:820 overwritten in module ADCME at /home/pkgeval/.julia/packages/ADCME/94vEM/src/variable.jl:214. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 1 dependency had output during precompilation: ┌ ADCME │ [Output was shown above] └ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:462 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:616 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/94vEM/src/optim.jl:690 declares type variable T but does not use it. OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids. OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 44 OMP: Info #156: KMP_AFFINITY: 1 available OS procs OMP: Info #157: KMP_AFFINITY: Uniform topology OMP: Info #159: KMP_AFFINITY: 1 packages x 1 cores/pkg x 1 threads/core (1 total cores) OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map: OMP: Info #171: KMP_AFFINITY: OS proc 44 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 13676 tid 13676 thread 0 bound to OS proc set 44 ┌ Warning: Cannot load /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build/libadcme.so. Please recompile the shared library by `ADCME.precompile()` for using custom operators. └ @ ADCME ~/.julia/packages/ADCME/94vEM/src/ADCME.jl:78 Python path=/home/pkgeval/.julia/adcme/bin/python PREFIXDIR=/home/pkgeval/.julia/adcme/lib/Libraries TF_INC=/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/include TF_ABI=1 TF_LIB_FILE=/home/pkgeval/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/libtensorflow_framework.so.1 MPI_INCLUDE_PATH and/or MPI_C_LIBRARIES is not set. MPI operators are not compiled. -- Found OpenMP_C: -fopenmp (found version "4.0") -- Found OpenMP_CXX: -fopenmp (found version "4.0") -- Found OpenMP: TRUE (found version "4.0") OPENMP Found -- Configuring done -- Generating done -- Build files have been written to: /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build [1/28] Building CXX object CMakeFiles/adcme.dir/RadialBasisFunction/Functions.cpp.o [2/28] Building CXX object CMakeFiles/adcme.dir/OT/src/sinkhorn.cpp.o [3/28] Building CXX object CMakeFiles/adcme.dir/RadialBasisFunction/Impl.cpp.o [4/28] Building CXX object CMakeFiles/adcme.dir/SleepFor/SleepFor.cpp.o [5/28] Building CXX object CMakeFiles/adcme.dir/SparseAccumulate/Impl.cpp.o [6/28] Building CXX object CMakeFiles/adcme.dir/TriSolve/TriSolve.cpp.o [7/28] Building CXX object CMakeFiles/adcme.dir/PrintTensor/PrintTensor.cpp.o [8/28] Building CXX object CMakeFiles/adcme.dir/SparseToDense/SparseToDense.cpp.o [9/28] Building CXX object CMakeFiles/adcme.dir/TriLu/TriLu.cpp.o [10/28] Building CXX object CMakeFiles/adcme.dir/SparseAccumulate/SparseAccumulator.cpp.o [11/28] Building CXX object CMakeFiles/adcme.dir/SparseFactorizationSolve/lru_cache.cpp.o [12/28] Building CXX object CMakeFiles/adcme.dir/SparseConcate/SparseConcate.cpp.o [13/28] Building CXX object CMakeFiles/adcme.dir/RadialBasisFunction/RadialBasisFunction.cpp.o [14/28] Building CXX object CMakeFiles/adcme.dir/OT/SinkhornKnopp/SinkhornKnopp.cpp.o [15/28] Building CXX object CMakeFiles/adcme.dir/SparseScatterUpdate/SparseScatterUpdate.cpp.o [16/28] Building CXX object CMakeFiles/adcme.dir/SparseIndexing/SparseIndexing.cpp.o [17/28] Building CXX object CMakeFiles/adcme.dir/SparseMatMul/SparseMatMul.cpp.o [18/28] Building CXX object CMakeFiles/adcme.dir/SparseFactorizationSolve/Solve/Solve.cpp.o [19/28] Building CXX object CMakeFiles/adcme.dir/RadialBasisFunction3D/Impl.cpp.o [20/28] Building CXX object CMakeFiles/adcme.dir/InterpDimOne/InterpDimOne.cpp.o [21/28] Building CXX object CMakeFiles/adcme.dir/SparseCompress/SparseCompress.cpp.o [22/28] Building CXX object CMakeFiles/adcme.dir/RollingFunctions/RollingFunctions.cpp.o [23/28] Building CXX object CMakeFiles/adcme.dir/RadialBasisFunction3D/RadialBasisFunctionThreeD.cpp.o [24/28] Building CXX object CMakeFiles/adcme.dir/SolveBatchedRhs/SolveBatchedRhs.cpp.o [25/28] Building CXX object CMakeFiles/adcme.dir/SparseFactorizationSolve/Factorization/SparseFactorization.cpp.o [26/28] Building CXX object CMakeFiles/adcme.dir/SparseLeastSquare/SparseLeastSquare.cpp.o [27/28] Building CXX object CMakeFiles/adcme.dir/SparseSolver/SparseSolver.cpp.o [28/28] Linking CXX shared library libadcme.so Test Summary: | Pass Total Time sparse_constructor | 7 7 3m06.4s Test Summary: | Pass Total Time sparse_arithmetic | 4 4 1.7s Test Summary: | Pass Total Time sparse_adjoint | 1 1 0.5s Test Summary: | Pass Total Time sparse_mul | 6 6 1.6s Test Summary: | Pass Total Time sparse_vcat_hcat | 2 2 1.4s Test Summary: | Pass Total Time sparse_indexing | 3 3 1.3s Test Summary: | Pass Total Time sparse_solve | 1 1 7.2s k = 1 k = 2 k = 3 k = 4 k = 5 k = 6 k = 7 k = 8 k = 9 k = 10 v = [0.537491060347869, 0.19099601255862253, 0.9945940772091787, 0.15990821362965713, 0.03828143524395322, 0.07704959857720639, 0.9147582294259416, 0.19467949989537858, 0.006062480152131733, 0.31385871892492345] 2025-11-27 20:00:57.233457: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 20 rows and tolerance 0. 2025-11-27 20:00:57.233485: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-11-27 20:00:57.233491: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-11-27 20:00:57.233508: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2025-11-27 20:00:57.307304: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 1. 2025-11-27 20:00:57.307346: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-11-27 20:00:57.307351: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-11-27 20:00:57.307366: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2025-11-27 20:00:57.483745: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 0. 2025-11-27 20:00:57.483786: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-11-27 20:00:57.483792: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-11-27 20:00:57.483814: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler Test Summary: | Pass Total Time sparse_assembler | 3 3 1.0s ┌ Warning: `getindex(o::PyObject, i::Integer)` is deprecated, use `get(o, i - 1)` instead. │ caller = \(s::SparseTensor, o::PyObject, method::String) at sparse.jl:426 └ @ Core ~/.julia/packages/ADCME/94vEM/src/sparse.jl:426 Test Summary: | Pass Total Time sparse_least_square | 1 1 2.0s Test Summary: | Pass Total Time sparse mat mul | 3 3 1.0s Test Summary: | Pass Total Time spdiag | 3 3 0.7s Test Summary: | Pass Total Time spzero | 2 2 0.4s Test Summary: | Pass Total Time sparse indexing | 1 1 1.9s Test Summary: | Pass Total Time sum | 3 3 0.7s Test Summary: | Pass Total Time dense_to_sparse | 2 2 0.1s Test Summary: | Pass Total Time spdiagm | 4 4 1.0s Test Summary: | Pass Total Time hvcat | 1 1 2.2s Test Summary: | Pass Total Time find | 6 6 1.0s Test Summary: | Pass Total Time sparse scatter update add | 2 2 3.8s Test Summary: | Pass Total Time constant sparse | 1 1 0.1s Test Summary: | Pass Total Time get index | 1 1 0.2s 2025-11-27 20:01:13.019494: I ../SparseFactorizationSolve/Factorization/SparseFactorization.h:32] Factorization: current matrix id= 1, maximum cache size = 999999 2025-11-27 20:01:13.122217: I ../SparseFactorizationSolve/Factorization/SparseFactorization.h:32] Factorization: current matrix id= 2, maximum cache size = 999999 Test Summary: | Pass Total Time sparse_factorization_and_solve | 2 2 0.3s 2025-11-27 20:01:13.224685: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at SparseSolver.cpp:137 : Internal: Sparse solver factorization failed. 2025-11-27 20:01:13.225161: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at SparseSolver.cpp:137 : Internal: Sparse solver factorization failed. Test Summary: | Pass Total Time sparse solver warning | 1 1 0.5s Test Summary: | Pass Total Time sparse promote | 6 6 0.3s Test Summary: | Pass Total Time trisolve | 1 1 1.0s Test Summary: | Pass Total Time compress | 2 2 0.4s Test Summary: | Broken Total Time random | 47 47 0.1s Test Summary: | Pass Total Time save and load | 1 1 13.6s Test Summary: | Pass Total Time psave and pload | 1 1 3.1s tensorboard --logdir="/tmp/jl_XGqst8" --port 0 tensorboard --logdir="/tmp/jl_0nHzRM" --port 0 Test Summary: | Total Time diary | 0 1.0s ┌ Warning: `getindex(o::PyObject, i::Integer)` is deprecated, use `get(o, i - 1)` instead. │ caller = macro expansion at Test.jl:750 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:750 Test Summary: | Pass Total Time indexing | 28 28 8.9s Test Summary: | Pass Total Time Variables | 4 4 0.8s Test Summary: | Pass Total Time tensor | 2 2 2.9s Hessian: Error During Test at /home/pkgeval/.julia/packages/ADCME/94vEM/test/variable.jl:60 Got exception outside of a @test UndefVarError: `stack` not defined in `Main` Hint: It looks like two or more modules export different bindings with this name, resulting in ambiguity. Try explicitly importing it from a particular module, or qualifying the name with the module it should come from. Hint: a global variable of this name also exists in Base. Stacktrace: [1] top-level scope @ ~/.julia/packages/ADCME/94vEM/test/variable.jl:61 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [3] macro expansion @ ~/.julia/packages/ADCME/94vEM/test/variable.jl:63 [inlined] [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [5] top-level scope @ ~/.julia/packages/ADCME/94vEM/test/runtests.jl:26 [6] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [7] top-level scope @ none:6 [8] eval(m::Module, e::Any) @ Core ./boot.jl:489 [9] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [10] _start() @ Base ./client.jl:577 Test Summary: | Error Total Time Hessian | 1 1 1.6s RNG of the outermost testset: Xoshiro(0xfbf59d796f78f376, 0xa3f8099d197b090a, 0x9e2548e8b6efd344, 0xd6441fa39e806d78, 0xda750455a41c2d30) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/ADCME/94vEM/test/variable.jl:60 in expression starting at /home/pkgeval/.julia/packages/ADCME/94vEM/test/runtests.jl:26 Testing failed after 903.37s ERROR: LoadError: Package ADCME errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2946 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2795 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2673.0s: illegal method overwrites during precompilation