Package evaluation of ADCME on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-24T18:04:49.529 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.17s ################################################################################ # Installation # Installing ADCME... Resolving package versions... Installed CMake ── v1.2.0 Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Installed ADCME ── v0.7.3 Updating `~/.julia/environments/v1.12/Project.toml` [07b341a0] + ADCME v0.7.3 Updating `~/.julia/environments/v1.12/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 v0.9.3 [7a1cc6ca] + FFTW v1.8.1 [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 v0.5.15 [69de0a69] + Parsers v2.8.1 [aea7be01] + PrecompileTools v1.2.1 [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 v3.3.10+3 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.0+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 v5.0.7+1 [458c3c95] + OpenSSL_jll v3.0.16+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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [dc6e5ff7] + 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 v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.12.0 [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 v1.2.0+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [14a3606d] + MozillaCACerts_jll v2024.11.26 [4536629a] + OpenBLAS_jll v0.3.28+3 [05823500] + OpenLibm_jll v0.8.1+3 [bea87d4a] + SuiteSparse_jll v7.8.0+1 [83775a58] + Zlib_jll v1.3.1+1 [8e850b90] + libblastrampoline_jll v5.11.2+0 [8e850ede] + nghttp2_jll v1.63.0+1 [3f19e933] + p7zip_jll v17.5.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building CMake ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/50a8b41d2c562fccd9ab841085fc7d1e2706da82/build.log` 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 ADCME ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/4ecfc24dbdf551f92b5de7ea2d99da3f7fde73c9/build.log` Installation completed after 1238.94s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 244.66s ################################################################################ # Testing # Testing ADCME Status `/tmp/jl_L0ERXC/Project.toml` [07b341a0] ADCME v0.7.3 [631607c0] CMake v1.2.0 [7a1cc6ca] FFTW v1.8.1 [23992714] MAT v0.10.7 [76087f3c] NLopt v1.1.3 [429524aa] Optim v1.11.0 [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 v1.11.0 [44cfe95a] Pkg v1.12.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_L0ERXC/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 v7.18.0 [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 v0.12.0 [5ae59095] Colors v0.13.0 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.5.8 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.48 [ffbed154] DocStringExtensions v0.9.3 [7a1cc6ca] FFTW v1.8.1 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v0.10.38 [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 v7.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [23992714] MAT v0.10.7 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.15 [e1d29d7a] Missings v1.2.0 [d41bc354] NLSolversBase v7.9.0 [76087f3c] NLopt v1.1.3 [77ba4419] NaNMath v1.1.2 [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.0 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.2.1 [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 v1.7.0 [2913bbd2] StatsBase v0.34.4 [3bb67fe8] TranscodingStreams v0.11.3 [30578b45] URIParser v0.4.1 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [f5851436] FFTW_jll v3.3.10+3 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.0+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 v5.0.7+1 [458c3c95] OpenSSL_jll v3.0.16+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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [dc6e5ff7] 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 v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.12.0 [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 v1.2.0+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.8.0+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+1 [14a3606d] MozillaCACerts_jll v2024.11.26 [4536629a] OpenBLAS_jll v0.3.28+3 [05823500] OpenLibm_jll v0.8.1+3 [bea87d4a] SuiteSparse_jll v7.8.0+1 [83775a58] Zlib_jll v1.3.1+1 [8e850b90] libblastrampoline_jll v5.11.2+0 [8e850ede] nghttp2_jll v1.63.0+1 [3f19e933] p7zip_jll v17.5.0+1 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. 17721.5 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: 91 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 91 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 10622 tid 10622 thread 0 bound to OS proc set 91 ┌ 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: python-dateutil>=2.1 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2.8.1) 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: kiwisolver>=1.0.1 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.2.0) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (2.4.7) Requirement already satisfied: numpy>=1.15 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (1.19.1) Requirement already satisfied: cycler>=0.10 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (0.10.0) Requirement already satisfied: pillow>=6.2.0 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from matplotlib) (7.2.0) Requirement already satisfied: six>=1.5 in /home/pkgeval/.julia/adcme/lib/python3.7/site-packages (from python-dateutil>=2.1->matplotlib) (1.14.0) 2025-03-24 18:35:05.385287: 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. 2025-03-24 18:35:05.396837: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2499810000 Hz 2025-03-24 18:35:05.397292: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x593ea60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-03-24 18:35:05.397401: 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], ";") 2025-03-24 18:35:06.822887: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. Test Summary: | Pass Total Time indexing for rank 3 tensors | 3 3 12.4s [ 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... 2701.9 ms ✓ URIParser 916.6 ms ✓ BufferedStreams 2414.6 ms ✓ IrrationalConstants 1343.1 ms ✓ VersionParsing 24274.3 ms ✓ HDF5 8724.7 ms ✓ BinDeps 2136.3 ms ✓ LogExpFunctions 2252.5 ms ✓ Conda 8738.8 ms ✓ MAT 702.7 ms ✓ CMake 3068.9 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 59436.2 ms ✓ PyCall 8489.6 ms ✓ SpecialFunctions 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. 70615.1 ms ? ADCME 13 dependencies successfully precompiled in 197 seconds. 66 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: 91 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 91 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 10737 tid 10737 thread 0 bound to OS proc set 91 ┌ 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. 12864.3 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: 91 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 91 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 10993 tid 10993 thread 0 bound to OS proc set 91 ┌ 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 5m42.6s Test Summary: | Pass Total Time dropout | 2 2 0.7s [ Info: /home/pkgeval/.julia/packages/ADCME/94vEM/deps/CustomOps/build/libadcme.so does not exist. Precompiling... [ Info: Made directory directory [ Info: Changed to directory build -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /home/pkgeval/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done JULIA=/opt/julia/bin/julia 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. 12525.7 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: 91 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 91 maps to package 0 OMP: Info #250: KMP_AFFINITY: pid 11064 tid 11064 thread 0 bound to OS proc set 91 ┌ 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/SparseToDense/SparseToDense.cpp.o [8/28] Building CXX object CMakeFiles/adcme.dir/SparseAccumulate/Impl.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 5m03.4s Test Summary: | Pass Total Time sparse_arithmetic | 4 4 2.6s Test Summary: | Pass Total Time sparse_adjoint | 1 1 0.7s Test Summary: | Pass Total Time sparse_mul | 6 6 1.7s Test Summary: | Pass Total Time sparse_vcat_hcat | 2 2 2.1s Test Summary: | Pass Total Time sparse_indexing | 3 3 1.2s Test Summary: | Pass Total Time sparse_solve | 1 1 9.6s k = 1 k = 2 k = 3 k = 4 k = 5 k = 6 k = 7 k = 8 k = 9 k = 10 v = [0.7650532403448085, 0.08730886304819019, 0.5415740971523701, 0.6950976531357722, 0.376321582079141, 0.10697384322718473, 0.550523295403424, 0.22237838555108191, 0.1225766633570684, 0.5459115015685665] 2025-03-24 18:46:32.227613: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 20 rows and tolerance 0. 2025-03-24 18:46:32.227878: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-03-24 18:46:32.228016: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-03-24 18:46:32.228104: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2025-03-24 18:46:32.329582: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 1. 2025-03-24 18:46:32.329652: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-03-24 18:46:32.329661: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-03-24 18:46:32.329683: I ../SparseAccumulate/Impl.cpp:82] destroy_sparse_assembler 2025-03-24 18:46:32.660457: I ../SparseAccumulate/Impl.cpp:68] Create a new sparse assembler [Handle ID = 100] with 5 rows and tolerance 0. 2025-03-24 18:46:32.660519: I ../SparseAccumulate/Impl.cpp:69] Current sparse assembler: 2025-03-24 18:46:32.660528: I ../SparseAccumulate/Impl.cpp:74] 100 | 2025-03-24 18:46:32.660561: 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 3.0s Test Summary: | Pass Total Time sparse mat mul | 3 3 1.5s Test Summary: | Pass Total Time spdiag | 3 3 1.0s Test Summary: | Pass Total Time spzero | 2 2 0.4s Test Summary: | Pass Total Time sparse indexing | 1 1 2.4s Test Summary: | Pass Total Time sum | 3 3 1.2s Test Summary: | Pass Total Time dense_to_sparse | 2 2 0.2s Test Summary: | Pass Total Time spdiagm | 4 4 1.6s Test Summary: | Pass Total Time hvcat | 1 1 3.8s Test Summary: | Pass Total Time find | 6 6 1.5s Test Summary: | Pass Total Time sparse scatter update add | 2 2 6.0s Test Summary: | Pass Total Time constant sparse | 1 1 0.1s Test Summary: | Pass Total Time get index | 1 1 0.3s 2025-03-24 18:46:56.443824: I ../SparseFactorizationSolve/Factorization/SparseFactorization.h:32] Factorization: current matrix id= 1, maximum cache size = 999999 2025-03-24 18:46:56.493470: 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 0.4s 2025-03-24 18:46:56.652824: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at SparseSolver.cpp:137 : Internal: Sparse solver factorization failed. 2025-03-24 18:46:56.653790: 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 0.6s Test Summary: | Pass Total Time sparse promote | 6 6 0.3s Test Summary: | Pass Total Time trisolve | 1 1 1.8s Test Summary: | Pass Total Time compress | 2 2 0.6s Test Summary: | Broken Total Time random | 47 47 0.1s Test Summary: | Pass Total Time save and load | 1 1 23.8s Test Summary: | Pass Total Time psave and pload | 1 1 4.9s tensorboard --logdir="/tmp/jl_7o2cn9" --port 0 tensorboard --logdir="/tmp/jl_Jr81Rk" --port 0 Test Summary: | Total Time diary | 0 1.7s ┌ Warning: `getindex(o::PyObject, i::Integer)` is deprecated, use `get(o, i - 1)` instead. │ caller = macro expansion at Test.jl:676 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:676 Test Summary: | Pass Total Time indexing | 28 28 11.4s Test Summary: | Pass Total Time Variables | 4 4 1.1s Test Summary: | Pass Total Time tensor | 2 2 3.8s Hessian: Error During Test at /home/pkgeval/.julia/packages/ADCME/94vEM/test/variable.jl:60 Got exception outside of a @test UndefVarError: `stack` not defined in `Main` Stacktrace: [1] top-level scope @ ~/.julia/packages/ADCME/94vEM/test/variable.jl:61 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [3] macro expansion @ ~/.julia/packages/ADCME/94vEM/test/variable.jl:63 [inlined] [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [5] top-level scope @ ~/.julia/packages/ADCME/94vEM/test/runtests.jl:26 [6] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [7] top-level scope @ none:6 [8] eval(m::Module, e::Any) @ Core ./boot.jl:485 [9] exec_options(opts::Base.JLOptions) @ Base ./client.jl:295 [10] _start() @ Base ./client.jl:558 Test Summary: | Error Total Time Hessian | 1 1 1.8s ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/ADCME/94vEM/test/variable.jl:60 in expression starting at /home/pkgeval/.julia/packages/ADCME/94vEM/test/runtests.jl:26 Testing failed after 1029.26s ERROR: LoadError: Package ADCME errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2359 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2214 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:159 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:146 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:300 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:329 [12] _start() @ Base ./client.jl:558 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2594.9s: illegal method overwrites during precompilation