Package evaluation of ADCME on Julia 1.13.0-DEV.748 (36a4616fc2*) started at 2025-06-17T19:10:16.875 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 11.65s ################################################################################ # Installation # Installing ADCME... Resolving package versions... Installed libaec_jll ────────── v1.1.3+0 Installed oneTBB_jll ────────── v2022.0.0+0 Installed MKL_jll ───────────── v2025.0.1+1 Installed MPICH_jll ─────────── v4.3.0+1 Installed VersionParsing ────── v1.3.0 Installed CodecZlib ─────────── v0.7.8 Installed MacroTools ────────── v0.5.16 Installed TranscodingStreams ── v0.11.3 Installed IntelOpenMP_jll ───── v2025.0.4+0 Installed MicrosoftMPI_jll ──── v10.1.4+3 Installed Compat ────────────── v4.16.0 Installed Conda ─────────────── v1.10.2 Installed Statistics ────────── v1.11.1 Installed IrrationalConstants ─ v0.1.1 Installed ChainRulesCore ────── v1.25.1 Installed PrecompileTools ───── v1.3.2 Installed AbstractFFTs ──────── v1.5.0 Installed OpenSpecFun_jll ───── v0.5.6+0 Installed Requires ──────────── v1.3.1 Installed PyCall ────────────── v1.96.4 Installed HDF5_jll ──────────── v1.14.6+0 Installed OpenMPI_jll ───────── v5.0.8+0 Installed LogExpFunctions ───── v0.3.29 Installed BufferedStreams ───── v1.2.2 Installed Hwloc_jll ─────────── v2.12.1+0 Installed JSON ──────────────── v0.21.4 Installed CMake ─────────────── v1.2.0 Installed Parsers ───────────── v2.8.3 Installed URIParser ─────────── v0.4.1 Installed SpecialFunctions ──── v1.8.8 Installed Reexport ──────────── v1.2.2 Installed MPIPreferences ────── v0.1.11 Installed FFTW_jll ──────────── v3.3.11+0 Installed JLLWrappers ───────── v1.7.0 Installed Preferences ───────── v1.4.3 Installed FFTW ──────────────── v1.9.0 Installed ADCME ─────────────── v0.7.3 Installed MPItrampoline_jll ─── v5.5.3+0 Installed DocStringExtensions ─ v0.9.5 Installed HDF5 ──────────────── v0.17.2 Installed BinDeps ───────────── v1.0.2 Installed MAT ───────────────── v0.10.7 Installing 7 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact libaec 96.2 KiB Installed artifact oneTBB 435.6 KiB Installed artifact FFTW 2.2 MiB Installed artifact Hwloc 3.5 MiB Installed artifact MPICH 3.3 MiB Installed artifact HDF5 5.7 MiB Updating `~/.julia/environments/v1.13/Project.toml` [07b341a0] + ADCME v0.7.3 Updating `~/.julia/environments/v1.13/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 v1.25.1 [944b1d66] + CodecZlib v0.7.8 [34da2185] + Compat v4.16.0 [8f4d0f93] + Conda v1.10.2 [ffbed154] + DocStringExtensions v0.9.5 [7a1cc6ca] + FFTW v1.9.0 [f67ccb44] + HDF5 v0.17.2 ⌅ [92d709cd] + IrrationalConstants v0.1.1 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [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 v1.3.2 [21216c6a] + Preferences v1.4.3 [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 [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 v2.12.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [7cb0a576] + MPICH_jll v4.3.0+1 [f1f71cc9] + MPItrampoline_jll v5.5.3+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.8+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [477f73a3] + libaec_jll v1.1.3+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [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 v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b19db3927f0db4151cb86d073689f2428e524576/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 1407.84s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5530.6 ms ✓ TestEnv 1 dependency successfully precompiled in 6 seconds. 25 already precompiled. Precompiling package dependencies... Precompilation completed after 357.38s ################################################################################ # Testing # Testing ADCME Status `/tmp/jl_8tfd8f/Project.toml` [07b341a0] ADCME v0.7.3 [631607c0] CMake v1.2.0 [7a1cc6ca] FFTW v1.9.0 [23992714] MAT v0.10.7 [76087f3c] NLopt v1.1.4 [429524aa] Optim v1.13.2 [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 v1.12.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_8tfd8f/Manifest.toml` [07b341a0] ADCME v0.7.3 [47edcb42] ADTypes v1.14.0 [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.19.0 [9e28174c] BinDeps v1.0.2 [e1450e63] BufferedStreams v1.2.2 [fa961155] CEnum v0.5.0 [631607c0] CMake v1.2.0 [d360d2e6] ChainRulesCore v1.25.1 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.1 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [7a1cc6ca] FFTW v1.9.0 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.0.1 [f67ccb44] HDF5 v0.17.2 ⌅ [92d709cd] IrrationalConstants v0.1.1 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [b964fa9f] LaTeXStrings v1.4.0 [d3d80556] LineSearches v7.4.0 [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 v1.1.4 [77ba4419] NaNMath v1.1.3 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [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 v1.2.1 ⌅ [276daf66] SpecialFunctions v1.8.8 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [3bb67fe8] TranscodingStreams v0.11.3 [30578b45] URIParser v0.4.1 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [f5851436] FFTW_jll v3.3.11+0 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.1+0 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [856f044c] MKL_jll v2025.0.1+1 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [079eb43e] NLopt_jll v2.10.0+0 [fe0851c0] OpenMPI_jll v5.0.8+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [477f73a3] libaec_jll v1.1.3+0 [1317d2d5] oneTBB_jll v2022.0.0+0 [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 v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [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 v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.14.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... Info Given ADCME was explicitly requested, output will be shown live  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. 13967.5 ms ? 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. 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:213 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: 72 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 72 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 11545 tid 11545 thread 0 bound to OS proc set 72 ┌ 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: 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: 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: pillow>=6.2.0 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (7.2.0) 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: 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: six in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0) 2025-06-17 19:43:05.473412: 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. 2025-06-17 19:43:05.485939: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2499810000 Hz 2025-06-17 19:43:05.486213: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x26ff830 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-06-17 19:43:05.486230: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version [✔️] Julia version [✔️] TensorFlow version [✔️] Python executable file [✘] Julia path (Optional) [Reason] `julia` outputs nothing. This will break custom operator compilation. [Instruction] Add your julia binary path to your environment path, e.g. (Unix systems) export PATH=/opt/julia/bin:$PATH For convenience, you can add the above line to your `~/.bashrc` (Linux) or `~/.bash_profile` (Apple). For Windows, you need to add it to system environment. [✔️] Dynamic library path [✔️] Memory Address Length = 64 [✘] Binaries path [Reason] /home/pkgeval/.julia/adcme/bin is not in PATH. This path contains compatible tools such as a GCC compiler, `cmake`, `make`, or any other tools you want to use directly from terminal. However, setting the path is NOT a requirement, and ADCME works totally fine without any action. [Instruction] (Optional) Add your binary path to your environment path, e.g. (Unix systems) export PATH=/home/pkgeval/.julia/adcme/bin:$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], ";") 2025-06-17 19:43:06.959686: 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 13.6s [ 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 Precompiling packages... 8376.1 ms ✓ MacroTools 1362.5 ms ✓ TranscodingStreams 1163.9 ms ✓ BufferedStreams 1224.3 ms ✓ Statistics 868.4 ms ✓ Reexport 1301.2 ms ✓ DocStringExtensions 2572.9 ms ✓ VersionParsing 2865.0 ms ✓ IrrationalConstants 1292.8 ms ✓ AbstractFFTs 2142.9 ms ✓ Requires 3576.4 ms ✓ URIParser 4441.2 ms ✓ Preferences 1279.9 ms ✓ Compat 1083.1 ms ✓ CodecZlib 1433.4 ms ✓ Statistics → SparseArraysExt 1524.4 ms ✓ LogExpFunctions 8273.5 ms ✓ BinDeps 1501.4 ms ✓ MPIPreferences 1291.7 ms ✓ JLLWrappers 1083.2 ms ✓ PrecompileTools 973.8 ms ✓ Compat → CompatLinearAlgebraExt 887.0 ms ✓ CMake 5526.3 ms ✓ MPItrampoline_jll 1362.2 ms ✓ MicrosoftMPI_jll 1638.3 ms ✓ OpenSpecFun_jll 1789.8 ms ✓ libaec_jll 1733.3 ms ✓ FFTW_jll 5643.5 ms ✓ IntelOpenMP_jll 1661.5 ms ✓ Hwloc_jll 1872.6 ms ✓ oneTBB_jll 54638.9 ms ✓ Parsers 4547.7 ms ✓ ChainRulesCore 5457.6 ms ✓ OpenMPI_jll 6205.8 ms ✓ MPICH_jll 5800.0 ms ✓ MKL_jll 5484.4 ms ✓ JSON 1481.9 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 1095.8 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 3212.2 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 8017.4 ms ✓ HDF5_jll 45775.8 ms ✓ FFTW 2954.9 ms ✓ Conda 9226.8 ms ✓ SpecialFunctions 26368.7 ms ✓ HDF5 65990.0 ms ✓ PyCall 7600.0 ms ✓ MAT Info Given ADCME was explicitly requested, output will be shown live  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. 10126.9 ms ? ADCME 46 dependencies successfully precompiled in 336 seconds. 31 already precompiled. 1 dependencies failed but may be precompilable after restarting julia 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. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 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: 72 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 72 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 11624 tid 11624 thread 0 bound to OS proc set 72 ┌ 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 Precompiling packages... Info Given ADCME was explicitly requested, output will be shown live  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. 10419.5 ms ? 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. 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: 72 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 72 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 12062 tid 12062 thread 0 bound to OS proc set 72 ┌ 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 7m46.5s Test Summary: | Pass Total Time dropout | 2 2 1.0s [ 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 Precompiling packages... Info Given ADCME was explicitly requested, output will be shown live  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. 10332.3 ms ? 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. 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: 72 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 72 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 12133 tid 12133 thread 0 bound to OS proc set 72 ┌ 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 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 11545 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_57689.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== [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 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_57689.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== [19/28] Building CXX object CMakeFiles/adcme.dir/RadialBasisFunction3D/Impl.cpp.o ninja: build stopped: interrupted by user. [11545] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/ADCME/94vEM/test/sparse.jl:1 _ZN4llvm14FoldingSetBase15GrowBucketCountEjRKNS0_14FoldingSetInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14FoldingSetBase10InsertNodeEPNS0_4NodeEPvRKNS0_14FoldingSetInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution21getOrCreateAddRecExprENS_8ArrayRefIPKNS_4SCEVEEEPKNS_4LoopENS2_11NoWrapFlagsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution10getAddExprERNS_15SmallVectorImplIPKNS_4SCEVEEENS2_11NoWrapFlagsEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution10createSCEVEPNS_5ValueE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15ScalarEvolution14createSCEVIterEPNS_5ValueE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7IVUsers21AddUsersIfInterestingEPNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7IVUsers21AddUsersIfInterestingEPNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7IVUsersC2EPNS_4LoopEPNS_15AssumptionCacheEPNS_8LoopInfoEPNS_13DominatorTreeEPNS_15ScalarEvolutionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm18IVUsersWrapperPass9runOnLoopEPNS_4LoopERNS_13LPPassManagerE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13LPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc14SimpleCompilerclERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1611 addModule at /source/src/jitlayers.cpp:2092 jl_compile_codeinst_now at /source/src/jitlayers.cpp:683 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:874 jl_compile_method_internal at /source/src/gf.c:3212 _jl_invoke at /source/src/gf.c:3684 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 PkgEval terminated after 2723.02s: test duration exceeded the time limit