Package evaluation to test ADCME on Julia 1.14.0-DEV.2705 (2f35a920f0*) started at 2026-07-20T00:17:37.563 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.83s ################################################################################ # Installation # Installing ADCME... Resolving package versions... Installed MPICH_jll ───────────── v5.0.1+0 Installed oneTBB_jll ──────────── v2022.3.0+0 Installed s2n_tls_jll ─────────── v1.7.3+0 Installed MacroTools ──────────── v0.5.16 Installed VersionParsing ──────── v1.3.0 Installed libaec_jll ──────────── v1.1.7+0 Installed MKL_jll ─────────────── v2025.2.0+0 Installed aws_c_cal_jll ───────── v0.9.13+0 Installed CodecZlib ───────────── v0.7.8 Installed Compat ──────────────── v4.18.1 Installed aws_c_common_jll ────── v0.12.6+0 Installed MPIABI_jll ──────────── v0.1.5+0 Installed Statistics ──────────── v1.11.1 Installed TranscodingStreams ──── v0.11.3 Installed PrecompileTools ─────── v1.3.4 Installed MicrosoftMPI_jll ────── v10.1.4+3 (no artifacts on this platform) Installed dlfcn_win32_jll ─────── v1.4.2+0 (no artifacts on this platform) Installed IntelOpenMP_jll ─────── v2025.2.0+0 Installed Xorg_libpciaccess_jll ─ v0.19.0+0 Installed mpif_jll ────────────── v0.1.7+0 Installed Conda ───────────────── v1.10.3 Installed IrrationalConstants ─── v0.1.1 Installed StructUtils ─────────── v2.8.2 Installed ChainRulesCore ──────── v1.26.1 Installed AbstractFFTs ────────── v1.5.0 Installed Requires ────────────── v1.3.1 Installed OpenSpecFun_jll ─────── v0.5.6+0 Installed OpenMPI_jll ─────────── v5.0.11+0 Installed HDF5_jll ────────────── v2.1.2+0 Installed aws_c_s3_jll ────────── v0.11.5+0 Installed PyCall ──────────────── v1.96.4 Installed aws_c_io_jll ────────── v0.26.3+0 Installed LogExpFunctions ─────── v0.3.29 Installed BufferedStreams ─────── v1.2.2 Installed Hwloc_jll ───────────── v2.14.0+0 Installed CMake ───────────────── v1.2.0 Installed aws_c_sdkutils_jll ──── v0.2.4+1 Installed URIParser ───────────── v0.4.1 Installed Parsers ─────────────── v2.8.6 Installed JSON ────────────────── v1.6.1 Installed aws_checksums_jll ───── v0.2.10+0 Installed ADCME ───────────────── v0.7.3 Installed XML2_jll ────────────── v2.13.9+0 Installed SpecialFunctions ────── v1.8.8 Installed Reexport ────────────── v1.2.2 Installed FFTW_jll ────────────── v3.3.12+0 Installed FFTW ────────────────── v1.10.0 Installed Preferences ─────────── v1.5.2 Installed MPIPreferences ──────── v0.1.12 Installed JLLWrappers ─────────── v1.8.0 Installed Libiconv_jll ────────── v1.18.0+0 Installed aws_c_http_jll ──────── v0.10.13+0 Installed BinDeps ─────────────── v1.0.2 Installed HDF5 ────────────────── v0.17.3 Installed aws_c_compression_jll ─ v0.3.2+0 Installed MPItrampoline_jll ───── v5.5.6+0 Installed MAT ─────────────────── v0.10.7 Installed aws_c_auth_jll ──────── v0.9.6+0 Installed DocStringExtensions ─── v0.9.5 Installing 19 artifacts Installed artifact aws_checksums 83.3 KiB Installed artifact Hwloc 3.0 MiB Installed artifact aws_c_common 237.0 KiB Installed artifact aws_c_sdkutils 48.8 KiB Installed artifact s2n_tls 1.4 MiB Installed artifact Xorg_libpciaccess 23.4 KiB Installed artifact libaec 31.0 KiB Installed artifact aws_c_auth 111.4 KiB Installed artifact aws_c_cal 948.2 KiB Installed artifact FFTW 1.8 MiB Installed artifact XML2 2.0 MiB Installed artifact HDF5 5.2 MiB Installed artifact aws_c_io 153.0 KiB Installed artifact aws_c_compression 12.6 KiB Installed artifact aws_c_s3 123.8 KiB Installed artifact aws_c_http 214.6 KiB Installed artifact OpenSpecFun 105.4 KiB Installed artifact Libiconv 1022.9 KiB Installed artifact MPICH 5.8 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 v1.26.1 [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 v0.17.3 ⌅ [92d709cd] + IrrationalConstants v0.1.1 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [23992714] + MAT v0.10.7 [3da0fdf6] + MPIPreferences v0.1.12 [1914dd2f] + MacroTools v0.5.16 [69de0a69] + Parsers v2.8.6 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [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 v2.8.2 [3bb67fe8] + TranscodingStreams v0.11.3 [30578b45] + URIParser v0.4.1 [81def892] + VersionParsing v1.3.0 [f5851436] + FFTW_jll v3.3.12+0 [0234f1f7] + HDF5_jll v2.1.2+0 [e33a78d0] + Hwloc_jll v2.14.0+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [856f044c] + MKL_jll v2025.2.0+0 [b5ada748] + MPIABI_jll v0.1.5+0 [7cb0a576] + MPICH_jll v5.0.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.6+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.11+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.19.0+0 ⌅ [2b3700d1] + aws_c_auth_jll v0.9.6+0 [70f11efc] + aws_c_cal_jll v0.9.13+0 [73048d1d] + aws_c_common_jll v0.12.6+0 [73a04cd5] + aws_c_compression_jll v0.3.2+0 [3254fc65] + aws_c_http_jll v0.10.13+0 [13c41daa] + aws_c_io_jll v0.26.3+0 ⌅ [bd1f34fb] + aws_c_s3_jll v0.11.5+0 [1282aa60] + aws_c_sdkutils_jll v0.2.4+1 [b2a88e68] + aws_checksums_jll v0.2.10+0 [c4b69c83] + dlfcn_win32_jll v1.4.2+0 [477f73a3] + libaec_jll v1.1.7+0 [9aeb927a] + mpif_jll v0.1.7+0 [1317d2d5] + oneTBB_jll v2022.3.0+0 [cddc5d3d] + s2n_tls_jll v1.7.3+0 [0dad84c5] + ArgTools v1.2.0 [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 v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [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 v1.5.5+2 [deac9b47] + LibCURL_jll v8.21.0+0 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.103+0 [14a3606d] + MozillaCACerts_jll v2026.7.16 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.7+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+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 1520.4s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 3.9 s ✓ TestEnv 1 dependency successfully precompiled in 4 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling project... 3.1 s ✓ MacroTools 0.5 s ✓ Reexport 0.6 s ✓ Adapt 0.7 s ✓ Statistics 0.6 s ✓ PositiveFactorizations 0.7 s ✓ ConstructionBase 1.3 s ✓ IrrationalConstants 0.6 s ✓ StaticArraysCore 0.9 s ✓ ADTypes 0.8 s ✓ DocStringExtensions 0.5 s ✓ VersionParsing 0.5 s ✓ CEnum 0.7 s ✓ AbstractFFTs 0.5 s ✓ EnumX 2.0 s ✓ FillArrays 0.7 s ✓ BufferedStreams 0.8 s ✓ TranscodingStreams 0.6 s ✓ LaTeXStrings 1.3 s ✓ Requires 0.7 s ✓ URIParser 0.9 s ✓ NaNMath 1.4 s ✓ StructUtils 0.8 s ✓ Compat 1.2 s ✓ Preferences 0.7 s ✓ ArrayInterface 1.4 s ✓ Adapt → AdaptSparseArraysExt 2.0 s ✓ FixedPointNumbers 1.4 s ✓ Statistics → SparseArraysExt 0.5 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 1.5 s ✓ DifferentiationInterface 0.5 s ✓ ADTypes → ADTypesConstructionBaseExt 0.9 s ✓ LogExpFunctions 3.6 s ✓ AbstractFFTs → AbstractFFTsTestExt 1.7 s ✓ FillArrays → FillArraysSparseArraysExt 0.8 s ✓ FillArrays → FillArraysStatisticsExt 0.6 s ✓ CodecZlib 4.6 s ✓ BinDeps 0.7 s ✓ StructUtils → StructUtilsStaticArraysCoreExt 0.4 s ✓ Compat → CompatLinearAlgebraExt 1.6 s ✓ JLLWrappers 1.7 s ✓ MPIPreferences 1.0 s ✓ PrecompileTools 0.8 s ✓ ArrayInterface → ArrayInterfaceFillArraysExt 0.5 s ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1.5 s ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 2.5 s ✓ ColorTypes 2.5 s ✓ Setfield 2.2 s ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 0.9 s ✓ CMake 1.8 s ✓ ChainRulesCore 1.0 s ✓ libaec_jll 3.1 s ✓ IntelOpenMP_jll 1.1 s ✓ aws_c_common_jll 1.0 s ✓ Xorg_libpciaccess_jll 1.0 s ✓ Libiconv_jll 1.0 s ✓ s2n_tls_jll 3.8 s ✓ oneTBB_jll 1.0 s ✓ dlfcn_win32_jll 1.4 s ✓ FFTW_jll 1.0 s ✓ NLopt_jll 0.8 s ✓ MicrosoftMPI_jll 1.1 s ✓ OpenSpecFun_jll 3.7 s ✓ MPItrampoline_jll 8.9 s ✓ Parsers 1.2 s ✓ ColorTypes → StyledStringsExt 5.1 s ✓ Colors 1.0 s ✓ FiniteDiff 1.4 s ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 0.6 s ✓ ADTypes → ADTypesChainRulesCoreExt 0.6 s ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 0.5 s ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 0.6 s ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 2.8 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.2 s ✓ aws_checksums_jll 1.0 s ✓ aws_c_sdkutils_jll 1.1 s ✓ aws_c_cal_jll 1.1 s ✓ aws_c_compression_jll 1.2 s ✓ XML2_jll Downloading artifact: IntelOpenMP Downloading artifact: oneTBB 8.5 s ✓ MKL_jll 1.7 s ✓ NLopt 6.2 s ✓ JSON 1.4 s ✓ FiniteDiff → FiniteDiffSparseArraysExt 0.7 s ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 7.1 s ✓ SpecialFunctions 1.2 s ✓ aws_c_io_jll 1.1 s ✓ Hwloc_jll 3.0 s ✓ FFTW 1.5 s ✓ Conda 1.6 s ✓ NLSolversBase 1.2 s ✓ aws_c_http_jll 1.1 s ✓ MPICH_jll 3.9 s ✓ OpenMPI_jll 3.5 s ✓ MPIABI_jll 9.0 s ✓ PyCall 1.1 s ✓ LineSearches 1.1 s ✓ aws_c_auth_jll 3.5 s ✓ mpif_jll 5.4 s ✓ PyPlot 5.1 s ✓ Optim 1.4 s ✓ aws_c_s3_jll 1.3 s ✓ HDF5_jll 10.2 s ✓ HDF5 4.4 s ✓ 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. 6.6 s ? ADCME 103 dependencies successfully precompiled in 203 seconds. 36 already precompiled. 1 dependency 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 233.55s ################################################################################ # Testing # Testing ADCME Status `/tmp/jl_e4TMzI/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 v2.2.1 [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 v1.14.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_e4TMzI/Manifest.toml` [07b341a0] ADCME v0.7.3 [47edcb42] ADTypes v1.22.2 [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.7.0 [4fba245c] ArrayInterface v7.27.0 [9e28174c] BinDeps v1.0.2 [e1450e63] BufferedStreams v1.2.2 [fa961155] CEnum v0.5.0 [631607c0] CMake v1.2.0 [d360d2e6] ChainRulesCore v1.26.1 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 [a0c0ee7d] DifferentiationInterface v0.7.20 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.7 [7a1cc6ca] FFTW v1.10.0 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.32.0 ⌅ [53c48c17] FixedPointNumbers v0.8.6 [f67ccb44] HDF5 v0.17.3 ⌅ [92d709cd] IrrationalConstants v0.1.1 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.6.1 [b964fa9f] LaTeXStrings v1.4.0 [d3d80556] LineSearches v7.7.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [23992714] MAT v0.10.7 [3da0fdf6] MPIPreferences v0.1.12 [1914dd2f] MacroTools v0.5.16 [d41bc354] NLSolversBase v8.0.0 [76087f3c] NLopt v1.2.1 [77ba4419] NaNMath v1.1.4 [429524aa] Optim v2.2.1 [69de0a69] Parsers v2.8.6 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [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 ⌅ [276daf66] SpecialFunctions v1.8.8 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [ec057cc2] StructUtils v2.8.2 [3bb67fe8] TranscodingStreams v0.11.3 [30578b45] URIParser v0.4.1 [81def892] VersionParsing v1.3.0 [f5851436] FFTW_jll v3.3.12+0 [0234f1f7] HDF5_jll v2.1.2+0 [e33a78d0] Hwloc_jll v2.14.0+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [94ce4f54] Libiconv_jll v1.18.0+0 [856f044c] MKL_jll v2025.2.0+0 [b5ada748] MPIABI_jll v0.1.5+0 [7cb0a576] MPICH_jll v5.0.1+0 [f1f71cc9] MPItrampoline_jll v5.5.6+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [079eb43e] NLopt_jll v2.11.0+0 [fe0851c0] OpenMPI_jll v5.0.11+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0 ⌅ [2b3700d1] aws_c_auth_jll v0.9.6+0 [70f11efc] aws_c_cal_jll v0.9.13+0 [73048d1d] aws_c_common_jll v0.12.6+0 [73a04cd5] aws_c_compression_jll v0.3.2+0 [3254fc65] aws_c_http_jll v0.10.13+0 [13c41daa] aws_c_io_jll v0.26.3+0 ⌅ [bd1f34fb] aws_c_s3_jll v0.11.5+0 [1282aa60] aws_c_sdkutils_jll v0.2.4+1 [b2a88e68] aws_checksums_jll v0.2.10+0 [c4b69c83] dlfcn_win32_jll v1.4.2+0 [477f73a3] libaec_jll v1.1.7+0 [9aeb927a] mpif_jll v0.1.7+0 [1317d2d5] oneTBB_jll v2022.3.0+0 [cddc5d3d] s2n_tls_jll v1.7.3+0 [0dad84c5] ArgTools v1.2.0 [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 v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [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 v1.5.5+2 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.103+0 [14a3606d] MozillaCACerts_jll v2026.7.16 [4536629a] OpenBLAS_jll v0.3.33+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.7+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+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 /home/pkgeval/.julia/packages/PyCall/1gn3u/src/PyCall.jl:817 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: 33 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 33 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 14713 tid 14713 thread 0 bound to OS proc set 33 ┌ 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: pillow>=6.2.0 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (7.2.0) 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: numpy>=1.15 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.19.1) 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: cycler>=0.10 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (0.10.0) 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: 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: six>=1.5 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from python-dateutil>=2.1->matplotlib) (1.14.0) 2026-07-20 00:49:47.246703: 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. 2026-07-20 00:49:47.256471: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2500090000 Hz 2026-07-20 00:49:47.256712: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x40609710 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2026-07-20 00:49:47.256727: 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], ";") 2026-07-20 00:49:49.436410: 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 12.3s [ 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: 33 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 33 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 14788 tid 14788 thread 0 bound to OS proc set 33 ┌ 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/jacobian.cpp.o [10/12] Building CXX object CMakeFiles/adept.dir/vector_utilities.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: 33 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 33 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 15341 tid 15341 thread 0 bound to OS proc set 33 ┌ 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 5m29.1s Test Summary: | Pass Total Time dropout | 2 2 0.8s [ 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: 33 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 33 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 15408 tid 15408 thread 0 bound to OS proc set 33 ┌ 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/PrintTensor/PrintTensor.cpp.o [6/28] Building CXX object CMakeFiles/adcme.dir/TriSolve/TriSolve.cpp.o [7/28] Building CXX object CMakeFiles/adcme.dir/SparseAccumulate/Impl.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/RadialBasisFunction/RadialBasisFunction.cpp.o [13/28] Building CXX object CMakeFiles/adcme.dir/SparseConcate/SparseConcate.cpp.o [14/28] Building CXX object CMakeFiles/adcme.dir/SparseScatterUpdate/SparseScatterUpdate.cpp.o [15/28] Building CXX object CMakeFiles/adcme.dir/OT/SinkhornKnopp/SinkhornKnopp.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 4m02.2s Test Summary: | Pass Total Time sparse_arithmetic | 4 4 3.0s Test Summary: | Pass Total Time sparse_adjoint | 1 1 0.8s Test Summary: | Pass Total Time sparse_mul | 6 6 1.9s Test Summary: | Pass Total Time sparse_vcat_hcat | 2 2 2.3s Test Summary: | Pass Total Time sparse_indexing | 3 3 2.2s Test Summary: | Pass Total Time sparse_solve | 1 1 11.0s k = 1 k = 2 k = 3 k = 4 k = 5 k = 6 k = 7 k = 8 k = 9 k = 10 v = [0.7350082173042825, 0.924598848633865, 0.57675170054853, 0.8161242165163206, 0.6081711603355543, 0.0778084686686723, 0.45089289082636963, 0.3271241925711492, 0.5093311202113008, 0.09923320980185524] 2026-07-20 01:00:04.050847: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 20 rows and tolerance 0. 2026-07-20 01:00:04.050887: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2026-07-20 01:00:04.050896: I ../SparseAccumulate/Impl.cpp:74] 100 | 2026-07-20 01:00:04.050921: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2026-07-20 01:00:04.164519: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 1. 2026-07-20 01:00:04.164745: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2026-07-20 01:00:04.164821: I ../SparseAccumulate/Impl.cpp:74] 100 | 2026-07-20 01:00:04.164900: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2026-07-20 01:00:04.949055: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 0. 2026-07-20 01:00:04.949308: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2026-07-20 01:00:04.949376: I ../SparseAccumulate/Impl.cpp:74] 100 | 2026-07-20 01:00:04.949469: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler Test Summary: | Pass Total Time sparse_assembler | 3 3 2.1s ┌ 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 └ @ ADCME ~/.julia/packages/ADCME/94vEM/src/sparse.jl:426 Test Summary: | Pass Total Time sparse_least_square | 1 1 5.1s Test Summary: | Pass Total Time sparse mat mul | 3 3 1.8s Test Summary: | Pass Total Time spdiag | 3 3 1.7s Test Summary: | Pass Total Time spzero | 2 2 0.6s Test Summary: | Pass Total Time sparse indexing | 1 1 4.0s Test Summary: | Pass Total Time sum | 3 3 1.1s Test Summary: | Pass Total Time dense_to_sparse | 2 2 0.2s Test Summary: | Pass Total Time spdiagm | 4 4 1.7s Test Summary: | Pass Total Time hvcat | 1 1 3.0s Test Summary: | Pass Total Time find | 6 6 1.7s Test Summary: | Pass Total Time sparse scatter update add | 2 2 6.5s Test Summary: | Pass Total Time constant sparse | 1 1 0.1s Test Summary: | Pass Total Time get index | 1 1 0.4s 2026-07-20 01:00:33.760248: I ../SparseFactorizationSolve/Factorization/SparseFactorization.h:32] Factorization: current matrix id= 1, maximum cache size = 999999 2026-07-20 01:00:33.925646: 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 0.5s 2026-07-20 01:00:34.702617: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at SparseSolver.cpp:137 : Internal: Sparse solver factorization failed. 2026-07-20 01:00:34.703723: 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 1.1s Test Summary: | Pass Total Time sparse promote | 6 6 0.6s Test Summary: | Pass Total Time trisolve | 1 1 1.6s Test Summary: | Pass Total Time compress | 2 2 0.9s Test Summary: | Broken Total Time random | 47 47 0.1s Test Summary: | Pass Total Time save and load | 1 1 24.1s Test Summary: | Pass Total Time psave and pload | 1 1 5.1s tensorboard --logdir="/tmp/jl_QCJ1Dd" --port 0 tensorboard --logdir="/tmp/jl_KGnYiB" --port 0 Test Summary: | Total Time diary | 0 1.3s ┌ Warning: `getindex(o::PyObject, i::Integer)` is deprecated, use `get(o, i - 1)` instead. │ caller = macro expansion at Test.jl:781 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:781 Test Summary: | Pass Total Time indexing | 28 28 16.8s Test Summary: | Pass Total Time Variables | 4 4 1.3s Test Summary: | Pass Total Time tensor | 2 2 4.7s 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:2246 [inlined] [3] macro expansion @ ~/.julia/packages/ADCME/94vEM/test/variable.jl:63 [inlined] [4] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [5] top-level scope @ ~/.julia/packages/ADCME/94vEM/test/runtests.jl:26 [6] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [7] top-level scope @ none:6 [8] eval(m::Module, e::Any) @ Core boot.jl:545 [9] exec_options(opts::Base.JLOptions) @ Base client.jl:321 [10] _start() @ Base client.jl:596 Test Summary: | Error Total Time Hessian | 1 1 2.9s RNG of the outermost testset: Xoshiro(0xef1d2964ab38b1da, 0xecf0075efefd215f, 0x1b4eabdc9024e529, 0xa7c8514378f95cbd, 0xd4f0d3a8c7ba18ef) 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 781.72s 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:3247 [3] 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:587 [4] 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 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [8] include(mod::Module, _path::String) @ Base Base.jl:325 [9] exec_options(opts::Base.JLOptions) @ Base client.jl:355 [10] _start() @ Base client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2675.02s: illegal method overwrites during precompilation