Package evaluation of ADCME on Julia 1.13.0-DEV.994 (f4af91db49*) started at 2025-08-19T18:57:03.631 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 11.05s ################################################################################ # Installation # Installing ADCME... Resolving package versions... Installed VersionParsing ────── v1.3.0 Installed libaec_jll ────────── v1.1.3+0 Installed MKL_jll ───────────── v2025.2.0+0 Installed oneTBB_jll ────────── v2022.0.0+0 Installed MPICH_jll ─────────── v4.3.1+0 Installed CodecZlib ─────────── v0.7.8 Installed MacroTools ────────── v0.5.16 Installed MicrosoftMPI_jll ──── v10.1.4+3 Installed TranscodingStreams ── v0.11.3 Installed Compat ────────────── v4.18.0 Installed IntelOpenMP_jll ───── v2025.2.0+0 Installed Conda ─────────────── v1.10.2 Installed IrrationalConstants ─ v0.1.1 Installed Statistics ────────── v1.11.1 Installed AbstractFFTs ──────── v1.5.0 Installed PrecompileTools ───── v1.3.2 Installed ChainRulesCore ────── v1.26.0 Installed Requires ──────────── v1.3.1 Installed OpenSpecFun_jll ───── v0.5.6+0 Installed PyCall ────────────── v1.96.4 Installed OpenMPI_jll ───────── v5.0.8+0 Installed HDF5_jll ──────────── v1.14.6+0 Installed BufferedStreams ───── v1.2.2 Installed LogExpFunctions ───── v0.3.29 Installed JSON ──────────────── v0.21.4 Installed CMake ─────────────── v1.2.0 Installed Hwloc_jll ─────────── v2.12.1+0 Installed Reexport ──────────── v1.2.2 Installed URIParser ─────────── v0.4.1 Installed Parsers ───────────── v2.8.3 Installed Preferences ───────── v1.5.0 Installed SpecialFunctions ──── v1.8.8 Installed ADCME ─────────────── v0.7.3 Installed MPIPreferences ────── v0.1.11 Installed FFTW_jll ──────────── v3.3.11+0 Installed JLLWrappers ───────── v1.7.1 Installed FFTW ──────────────── v1.9.0 Installed MPItrampoline_jll ─── v5.5.4+0 Installed BinDeps ───────────── v1.0.2 Installed DocStringExtensions ─ v0.9.5 Installed MAT ───────────────── v0.10.7 Installed HDF5 ──────────────── v0.17.2 Installing 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 v1.26.0 [944b1d66] + CodecZlib v0.7.8 [34da2185] + Compat v4.18.0 [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 v1.7.1 [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 v1.5.0 [438e738f] + PyCall v1.96.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 ⌅ [276daf66] + SpecialFunctions v1.8.8 [10745b16] + Statistics v1.11.1 [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 v2025.2.0+0 [856f044c] + MKL_jll v2025.2.0+0 [7cb0a576] + MPICH_jll v4.3.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+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 v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [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 v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.8.12 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.13.1+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 1391.41s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4615.8 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 340.94s ################################################################################ # Testing # Testing ADCME Status `/tmp/jl_MbM1CE/Project.toml` [07b341a0] ADCME v0.7.3 [631607c0] CMake v1.2.0 [7a1cc6ca] FFTW v1.9.0 [23992714] MAT v0.10.7 [76087f3c] NLopt v1.2.1 [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 v1.13.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_MbM1CE/Manifest.toml` [07b341a0] ADCME v0.7.3 [47edcb42] ADTypes v1.17.0 [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 v1.26.0 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.6 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [7a1cc6ca] FFTW v1.9.0 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.28.1 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.0.1 [f67ccb44] HDF5 v0.17.2 ⌅ [92d709cd] IrrationalConstants v0.1.1 [692b3bcd] JLLWrappers v1.7.1 [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 v1.2.1 [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 v1.5.0 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.2 ⌅ [276daf66] SpecialFunctions v1.8.8 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [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 v2025.2.0+0 [856f044c] MKL_jll v2025.2.0+0 [7cb0a576] MPICH_jll v4.3.1+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [079eb43e] NLopt_jll v2.10.0+0 [fe0851c0] OpenMPI_jll v5.0.8+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 v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [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 v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.8.12 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.2+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+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. 12345.0 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: 43 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 43 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 12235 tid 12235 thread 0 bound to OS proc set 43 ┌ 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: kiwisolver>=1.0.1 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.2.0) Requirement already satisfied: cycler>=0.10 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (0.10.0) 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: 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: python-dateutil>=2.1 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2.8.1) Requirement already satisfied: numpy>=1.15 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.19.1) Requirement already satisfied: certifi>=2020.06.20 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2020.6.20) Requirement already satisfied: six in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0) 2025-08-19 19:28:32.237285: 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. 2025-08-19 19:28:32.248276: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2499810000 Hz 2025-08-19 19:28:32.248515: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2188ef0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-08-19 19:28:32.248533: 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], ";") 2025-08-19 19:28:33.750867: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. Test Summary: | Pass Total Time indexing for rank 3 tensors | 3 3 14.0s [ 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... 8405.4 ms ✓ MacroTools 892.4 ms ✓ Reexport 1277.5 ms ✓ Statistics 2715.2 ms ✓ IrrationalConstants 2101.5 ms ✓ Requires 1359.5 ms ✓ DocStringExtensions 2507.5 ms ✓ VersionParsing 1243.0 ms ✓ AbstractFFTs 1183.7 ms ✓ BufferedStreams 1340.6 ms ✓ TranscodingStreams 3498.8 ms ✓ URIParser 1296.3 ms ✓ Compat 4326.8 ms ✓ Preferences 1495.9 ms ✓ Statistics → SparseArraysExt 2895.6 ms ✓ LogExpFunctions 1750.2 ms ✓ CodecZlib 8513.0 ms ✓ BinDeps 949.7 ms ✓ Compat → CompatLinearAlgebraExt 1224.3 ms ✓ JLLWrappers 1434.1 ms ✓ MPIPreferences 1024.5 ms ✓ PrecompileTools 880.9 ms ✓ CMake 4533.5 ms ✓ ChainRulesCore 1745.4 ms ✓ libaec_jll 5346.0 ms ✓ IntelOpenMP_jll 1855.5 ms ✓ oneTBB_jll 1868.0 ms ✓ FFTW_jll 1601.7 ms ✓ Hwloc_jll 1280.5 ms ✓ MicrosoftMPI_jll 1593.0 ms ✓ OpenSpecFun_jll 5198.1 ms ✓ MPItrampoline_jll 52287.2 ms ✓ Parsers 1524.3 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 1079.2 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 3060.6 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 5996.9 ms ✓ MKL_jll 6211.4 ms ✓ MPICH_jll 5059.3 ms ✓ OpenMPI_jll 5245.1 ms ✓ JSON 10353.9 ms ✓ SpecialFunctions 46046.4 ms ✓ FFTW 8224.2 ms ✓ HDF5_jll 2793.3 ms ✓ Conda 26306.5 ms ✓ HDF5 66036.4 ms ✓ PyCall 7725.7 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. 9108.6 ms ? ADCME 46 dependencies successfully precompiled in 335 seconds. 33 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: 43 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 43 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 12314 tid 12314 thread 0 bound to OS proc set 43 ┌ 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. 8668.3 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: 43 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 43 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 12752 tid 12752 thread 0 bound to OS proc set 43 ┌ 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 7m35.8s 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. 8654.4 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: 43 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 43 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 12823 tid 12823 thread 0 bound to OS proc set 43 ┌ 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 4m34.8s Test Summary: | Pass Total Time sparse_arithmetic | 4 4 2.6s Test Summary: | Pass Total Time sparse_adjoint | 1 1 0.8s Test Summary: | Pass Total Time sparse_mul | 6 6 2.6s Test Summary: | Pass Total Time sparse_vcat_hcat | 2 2 2.2s Test Summary: | Pass Total Time sparse_indexing | 3 3 2.1s Test Summary: | Pass Total Time sparse_solve | 1 1 12.0s k = 1 k = 2 k = 3 k = 4 k = 5 k = 6 k = 7 k = 8 k = 9 k = 10 v = [0.6788991972162296, 0.9605227354858391, 0.8287083630113897, 0.2890037461939243, 0.7446241172759851, 0.13055354469483083, 0.47991791718750754, 0.6470518035614773, 0.5470954298080699, 0.1982795297982295] 2025-08-19 19:41:30.346182: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 20 rows and tolerance 0. 2025-08-19 19:41:30.346254: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-08-19 19:41:30.346264: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-08-19 19:41:30.346318: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2025-08-19 19:41:30.459384: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 1. 2025-08-19 19:41:30.459458: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-08-19 19:41:30.459467: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-08-19 19:41:30.459488: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2025-08-19 19:41:30.772326: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 0. 2025-08-19 19:41:30.772398: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-08-19 19:41:30.772406: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-08-19 19:41:30.772434: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler Test Summary: | Pass Total Time sparse_assembler | 3 3 1.5s ┌ Warning: `getindex(o::PyObject, i::Integer)` is deprecated, use `get(o, i - 1)` instead. │ caller = \(s::SparseTensor, o::PyObject, method::String) at sparse.jl:426 └ @ Core ~/.julia/packages/ADCME/94vEM/src/sparse.jl:426 Test Summary: | Pass Total Time sparse_least_square | 1 1 2.9s Test Summary: | Pass Total Time sparse mat mul | 3 3 1.5s Test Summary: | Pass Total Time spdiag | 3 3 1.1s Test Summary: | Pass Total Time spzero | 2 2 0.6s Test Summary: | Pass Total Time sparse indexing | 1 1 3.0s 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 2.9s Test Summary: | Pass Total Time find | 6 6 1.3s Test Summary: | Pass Total Time sparse scatter update add | 2 2 6.2s Test Summary: | Pass Total Time constant sparse | 1 1 0.1s Test Summary: | Pass Total Time get index | 1 1 0.3s 2025-08-19 19:41:54.277111: I ../SparseFactorizationSolve/Factorization/SparseFactorization.h:32] Factorization: current matrix id= 1, maximum cache size = 999999 2025-08-19 19:41:54.318206: I ../SparseFactorizationSolve/Factorization/SparseFactorization.h:32] Factorization: current matrix id= 2, maximum cache size = 999999 Test Summary: | Pass Total Time sparse_factorization_and_solve | 2 2 0.3s 2025-08-19 19:41:54.486791: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at SparseSolver.cpp:137 : Internal: Sparse solver factorization failed. 2025-08-19 19:41:54.487488: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at SparseSolver.cpp:137 : Internal: Sparse solver factorization failed. Test Summary: | Pass Total Time sparse solver warning | 1 1 0.7s Test Summary: | Pass Total Time sparse promote | 6 6 0.5s Test Summary: | Pass Total Time trisolve | 1 1 1.7s Test Summary: | Pass Total Time compress | 2 2 0.6s Test Summary: | Broken Total Time random | 47 47 0.1s ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 12235 running 1 of 1 signal (10): User defined signal 1 has_free_typevars at /source/src/jltypes.c:128 subtype_tuple_tail at /source/src/subtype.c:1292 [inlined] subtype_tuple at /source/src/subtype.c:1376 [inlined] subtype at /source/src/subtype.c:1550 exists_subtype at /source/src/subtype.c:1793 [inlined] forall_exists_subtype at /source/src/subtype.c:1822 ijl_subtype_env at /source/src/subtype.c:2281 jl_type_intersection_env_s at /source/src/subtype.c:4582 jl_typemap_intersection_node_visitor at /source/src/typemap.c:543 jl_typemap_intersection_visitor at /source/src/typemap.c:810 jl_typemap_intersection_visitor at /source/src/typemap.c:791 jl_typemap_intersection_memory_visitor at /source/src/typemap.c:500 jl_typemap_intersection_visitor at /source/src/typemap.c:731 jl_typemap_intersection_visitor at /source/src/typemap.c:726 ml_matches at /source/src/gf.c:4826 ml_matches at /source/src/gf.c:4736 [inlined] ijl_matching_methods at /source/src/gf.c:3121 [inlined] ijl_matching_methods at /source/src/gf.c:3108 _methods_by_ftype at ./runtime_internals.jl:1595 [inlined] _findall at ./../usr/share/julia/Compiler/src/methodtable.jl:97 [inlined] #findall#5 at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] findall at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] #findall#7 at ./../usr/share/julia/Compiler/src/methodtable.jl:111 findall at ./../usr/share/julia/Compiler/src/methodtable.jl:102 [inlined] find_simple_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:386 jfptr_find_simple_method_matches_7496.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_invoke at /source/src/gf.c:4022 tojlinvoke86782.1 at /opt/julia/lib/julia/sys.so (unknown line) j_find_simple_method_matches_79472.1 at /opt/julia/lib/julia/sys.so (unknown line) #find_method_matches#134 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:348 [inlined] find_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:342 [inlined] abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:120 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3430 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3857 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3814 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4363 jfptr_typeinf_local_85507.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4521 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1385 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1568 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1577 jfptr_typeinf_ext_toplevel_82331.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] jl_type_infer at /source/src/gf.c:462 jl_compile_method_internal at /source/src/gf.c:3514 _jl_invoke at /source/src/gf.c:4007 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 unknown function (ip: 0x7588b2e27de2) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_69092.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_38848.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7588b431f249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== Test Summary: | Pass ====================================================================================== 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:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_67683.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000706c369545b0 Total snapshots: 409. Utilization: 0% ╎409 @Base/task.jl:1129 wait_forever() 408╎ 409 @Base/task.jl:1192 wait() [12235] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/ADCME/94vEM/test/io.jl:1 PkgEval terminated after 2738.81s: test duration exceeded the time limit