Package evaluation of ADCMEKit on Julia 1.13.0-DEV.1155 (b3f8bb4e33*) started at 2025-09-17T22:26:37.028 ################################################################################ # Set-up # Set-up completed after 0.23s ################################################################################ # Installation # Installing ADCMEKit... Resolving package versions... Installed CMake ──── v1.2.0 Installed Conda ──── v1.10.2 Installed PyCall ─── v1.96.4 Installed HDF5 ───── v0.13.6 Installed ADCMEKit ─ v0.2.3 Installed ADCME ──── v0.5.13 Updating `~/.julia/environments/v1.13/Project.toml` [b6719975] + ADCMEKit v0.2.3 Updating `~/.julia/environments/v1.13/Manifest.toml` ⌅ [07b341a0] + ADCME v0.5.13 [b6719975] + ADCMEKit v0.2.3 [621f4979] + AbstractFFTs v1.5.0 [9e28174c] + BinDeps v1.0.2 [a74b3585] + Blosc v0.7.3 [e1450e63] + BufferedStreams v1.2.2 [631607c0] + CMake v1.2.0 [944b1d66] + CodecZlib v0.7.8 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.1 [8f4d0f93] + Conda v1.10.2 [7a1cc6ca] + FFTW v1.10.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [f67ccb44] + HDF5 v0.13.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [b964fa9f] + LaTeXStrings v1.4.0 ⌅ [23992714] + MAT v0.8.1 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.16 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [438e738f] + PyCall v1.96.4 [d330b81b] + PyPlot v2.11.6 [189a3867] + Reexport v1.2.2 ⌅ [276daf66] + SpecialFunctions v0.10.3 [10745b16] + Statistics v1.11.1 [3bb67fe8] + TranscodingStreams v0.11.3 [30578b45] + URIParser v0.4.1 [81def892] + VersionParsing v1.3.0 [0b7ba130] + Blosc_jll v1.21.7+0 [f5851436] + FFTW_jll v3.3.11+0 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [5ced341a] + Lz4_jll v1.10.1+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 ⌅ [02c8fc9c] + XML2_jll v2.13.8+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [477f73a3] + libaec_jll v1.1.4+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 [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 v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.46.0+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 v1.67.0+0 [3f19e933] + p7zip_jll v17.6.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building Conda ───→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/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 HDF5 ────→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/0713cbabdf855852dfab3ce6447c87145f3d9ea8/build.log` Building ADCME ───→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/aec60a2a458732aa0bd3e518b3f5a0d741b4c9ad/build.log` Building ADCMEKit → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/e61342ce0edf8177479315b8a861c6927593c647/build.log` Installation completed after 1337.87s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Project No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` Manifest No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 4285.9 ms ✓ SpecialFunctions 888.3 ms ✓ CMake 10054.9 ms ✓ PyPlot 19558.2 ms ✓ HDF5 8180.5 ms ✓ MAT 45612.2 ms ? ADCME 24319.4 ms ? ADCMEKit 5 dependencies successfully precompiled in 114 seconds. 78 already precompiled. 2 dependencies failed but may be precompilable after restarting julia 3 dependencies had output during precompilation: ┌ HDF5 │ WARNING: Constructor for type "Array" was extended in `HDF5` without explicit qualification or import. │ NOTE: Assumed "Array" refers to `Base.Array`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Array end`. │ Hint: To silence the warning, qualify `Array` as `Base.Array` in the method signature or explicitly `import Base: Array`. └ ┌ ADCME │ WARNING: Constructor for type "Array" was extended in `HDF5` without explicit qualification or import. │ NOTE: Assumed "Array" refers to `Base.Array`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Array end`. │ Hint: To silence the warning, qualify `Array` as `Base.Array` in the method signature or explicitly `import Base: Array`. │ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:411 declares type variable T but does not use it. │ WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. │ WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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/JzSON/src/variable.jl:212. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ ┌ ADCMEKit │ WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:411 declares type variable T but does not use it. │ WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. │ WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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/JzSON/src/variable.jl:212. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ Precompilation completed after 125.41s ################################################################################ # Loading # Loading ADCMEKit... Precompiling packages... 13241.0 ms ? ADCME Info Given ADCMEKit was explicitly requested, output will be shown live  WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:411 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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/JzSON/src/variable.jl:212. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 22368.1 ms ? ADCMEKit WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:411 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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/JzSON/src/variable.jl:212. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. Precompiling packages... 5232.5 ms ✓ MicrosoftMPI_jll 4598.5 ms ✓ SpecialFunctions 6494.6 ms ✓ MPItrampoline_jll 4770.4 ms ✓ OpenMPI_jll 5828.5 ms ✓ FFTW Info Given ADCME was explicitly requested, output will be shown live  WARNING: method definition for #newton_raphson#39 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:411 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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/JzSON/src/variable.jl:212. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 12453.3 ms ? ADCME 5 dependencies successfully precompiled in 40 seconds. 69 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/JzSON/src/optim.jl:411 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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/JzSON/src/variable.jl:212. 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/JzSON/src/optim.jl:411 declares type variable T but does not use it. WARNING: method definition for #newton_raphson_with_grad#49 at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:565 declares type variable T but does not use it. WARNING: method definition for NonlinearConstrainedProblem at /home/pkgeval/.julia/packages/ADCME/JzSON/src/optim.jl:639 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: 122 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 122 maps to package 1 OMP: Info #250: KMP_AFFINITY: pid 12210 tid 12210 thread 0 bound to OS proc set 122 [ Info: You are using ADCME for the first time. Precompiling built-in custom operators may take some time... -- 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 ERROR: ArgumentError: Package ADCME not found in current path. - Run `import Pkg; Pkg.add("ADCME")` to install the ADCME package. Stacktrace: [1] macro expansion @ ./loading.jl:2421 [inlined] [2] macro expansion @ ./lock.jl:376 [inlined] [3] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2404 [4] require @ ./loading.jl:2380 [inlined] [5] eval_import_path @ ./module.jl:36 [inlined] [6] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr) @ Base ./module.jl:111 [7] top-level scope @ none:1 [8] eval(m::Module, e::Any) @ Core ./boot.jl:489 [9] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [10] _start() @ Base ./client.jl:563 CMake Error at CMakeLists.txt:15 (list): list GET given empty list CMake Error at CMakeLists.txt:16 (list): list GET given empty list CMake Error at CMakeLists.txt:17 (list): list GET given empty list CMake Error at CMakeLists.txt:18 (list): list GET given empty list CMake Error at CMakeLists.txt:19 (list): list GET given empty list CMake Error at CMakeLists.txt:20 (list): list GET given empty list CMake Error at CMakeLists.txt:21 (list): list GET given empty list CMake Error at CMakeLists.txt:22 (list): list GET given empty list CMake Error at CMakeLists.txt:23 (list): list GET given empty list CMake Error at CMakeLists.txt:24 (list): list GET given empty list CMake Error at CMakeLists.txt:25 (list): list GET given empty list CMake Error at CMakeLists.txt:26 (list): list GET given empty list CMake Error at CMakeLists.txt:27 (list): list GET given empty list CMake Error at CMakeLists.txt:28 (list): list GET given empty list Python path= PREFIXDIR= TF_INC= TF_ABI= TF_LIB_FILE= 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 incomplete, errors occurred! See also "/home/pkgeval/.julia/packages/ADCME/JzSON/deps/CustomOps/build/CMakeFiles/CMakeOutput.log". ┌ Warning: Compiling ADCME custom operators failed. The functionalities of ADCME is limited to TensorFlow backend │ ============================================================================= │ Error Message │ ============================================================================= │ ProcessFailedException(Base.Process[Process(setenv(`/home/pkgeval/.julia/adcme/bin/cmake -G Ninja -DCMAKE_MAKE_PROGRAM=/home/pkgeval/.julia/adcme/bin/ninja -DJULIA=/opt/julia/bin/julia -DCMAKE_C_COMPILER=/home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc -DCMAKE_CXX_COMPILER=/home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++ '' ..`,["JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_PKG_PRECOMPILE_AUTO=0", "LD_LIBRARY_PATH=/home/pkgeval/.julia/adcme/lib:/home/pkgeval/.julia/adcme/lib", "CI=true", "HDF5_USE_FILE_LOCKING=FALSE", "OPENBLAS_NUM_THREADS=1", "JULIA_PKGEVAL=true", "HOME=/home/pkgeval", "JULIA_NUM_THREADS=1", "OPENBLAS_MAIN_FREE=1", "KMP_AFFINITY=granularity=fine,verbose,compact,1,0", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin", "JULIA_CPU_THREADS=1", "DISPLAY=:1", "KMP_BLOCKTIME=0", "__KMP_REGISTERED_LIB_12210=0x71363b3ccd08-cafe1aa5-libiomp5.so", "PKGEVAL=true", "PYTHON=", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1))]) └ @ ADCME ~/.julia/packages/ADCME/JzSON/src/ADCME.jl:85 ┌ Warning: Cannot load /home/pkgeval/.julia/packages/ADCME/JzSON/deps/CustomOps/build/libadcme.so. Please recompile the shared library by `ADCME.precompile()` for using custom operators. └ @ ADCME ~/.julia/packages/ADCME/JzSON/src/ADCME.jl:95 ┌ Warning: /home/pkgeval/.julia/conda/3/x86_64/bin is not in the system path. This will make SMT unavailable from command line └ @ ADCMEKit ~/.julia/packages/ADCMEKit/Iikxe/src/ADCMEKit.jl:23 Loading completed after 175.78s PkgEval succeeded after 1818.42s