Open DilumAluthge opened 4 years ago
I think the issue is that the manifest uses an old version of CuArrays that does not work on Julia master.
cc: @Keno
julia> cd("ToyFHE.jl/examples/encrypted_mnist") julia rm("mnist_conv.bson"; force = true) julia> include("train.jl") [ Info: Precompiling CuArrays [3a865a2d-5b23-5a0f-bc46-62713ec82fae] ┌ Warning: Assignment to `name` in soft scope is ambiguous because a global variable by the same name exists: `name` will be treated as a new local. Disambiguate by using `local name` to suppress this warning or `global name` to assign to the existing global variable. └ @ ~/.julia/packages/CUDAdrv/WqkY2/src/error.jl:83 ┌ Warning: `@get!(dict, key, default)` at /users/daluthge/.julia/packages/Requires/9Jse8/src/require.jl:11 is deprecated, use `get!(()->default, dict, key)` instead. │ caller = include(::Function, ::Module, ::String) at Base.jl:380 └ @ Base ./Base.jl:380 ERROR: LoadError: LoadError: syntax: invalid keyword argument syntax "(escape (= threads nthreads))" Stacktrace: [1] top-level scope at /users/daluthge/.julia/packages/CuArrays/dY5ry/src/array.jl:318 [2] include(::Function, ::Module, ::String) at ./Base.jl:380 [3] include at ./Base.jl:368 [inlined] [4] include(::String) at /users/daluthge/.julia/packages/CuArrays/dY5ry/src/CuArrays.jl:1 [5] top-level scope at /users/daluthge/.julia/packages/CuArrays/dY5ry/src/CuArrays.jl:22 [6] include(::Function, ::Module, ::String) at ./Base.jl:380 [7] include(::Module, ::String) at ./Base.jl:368 [8] top-level scope at none:2 [9] eval at ./boot.jl:331 [inlined] [10] eval(::Expr) at ./client.jl:451 [11] top-level scope at ./none:3 in expression starting at /users/daluthge/.julia/packages/CuArrays/dY5ry/src/array.jl:318 in expression starting at /users/daluthge/.julia/packages/CuArrays/dY5ry/src/CuArrays.jl:22 ERROR: LoadError: Failed to precompile CuArrays [3a865a2d-5b23-5a0f-bc46-62713ec82fae] to /users/daluthge/.julia/compiled/v1.5/CuArrays/7YFE0_YKowg.ji. Stacktrace: [1] error(::String) at ./error.jl:33 [2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1288 [3] _require(::Base.PkgId) at ./loading.jl:1029 [4] require(::Base.PkgId) at ./loading.jl:927 [5] require(::Module, ::Symbol) at ./loading.jl:922 [6] include(::String) at ./client.jl:441 [7] top-level scope at REPL[10]:1 in expression starting at /gpfs_home/daluthge/Desktop/ToyFHE.jl/examples/encrypted_mnist/train.jl:9 julia> versioninfo(verbose = true) Julia Version 1.5.0-DEV.274 Commit 8eb0f9fefb (2020-02-15 12:41 UTC) Platform Info: OS: Linux (x86_64-pc-linux-gnu) "Red Hat Enterprise Linux Server release 7.3 (Maipo)" uname: Linux 3.10.0-957.5.1.el7.x86_64 #1 SMP Wed Dec 19 10:46:58 EST 2018 x86_64 x86_64 CPU: Intel(R) Xeon(R) Gold 5122 CPU @ 3.60GHz: speed user nice sys idle irq #1 3601 MHz 302347066 s 170 s 53586390 s 337540460 s 0 s #2 3601 MHz 235401396 s 383 s 47128775 s 410325724 s 0 s #3 3601 MHz 103237285 s 288 s 30844130 s 559882062 s 0 s #4 3601 MHz 63412689 s 364 s 22978592 s 607626432 s 0 s #5 3601 MHz 315443735 s 113 s 49256804 s 329997494 s 0 s #6 3601 MHz 155708333 s 578 s 37188177 s 501770058 s 0 s #7 3601 MHz 54762847 s 546 s 15693504 s 624338616 s 0 s #8 3601 MHz 46859843 s 550 s 14616044 s 632741590 s 0 s Memory: 93.04103088378906 GB (74548.9140625 MB free) Uptime: 6.958699e6 sec Load Avg: 1.20654296875 1.44921875 1.22314453125 WORD_SIZE: 64 LIBM: libopenlibm LLVM: libLLVM-9.0.1 (ORCJIT, skylake) Environment: CPLUS_INCLUDE_PATH = /gpfs/runtime/opt/gcc/8.3/include MANPATH = /gpfs/runtime/opt/python/3.7.4/share/man:/gpfs/runtime/opt/git/2.20.2/share/man:/gpfs/runtime/opt/gcc/8.3/share/man:/gpfs/runtime/opt/binutils/2.31/share/man:/gpfs/runtime/opt/intel/2017.0/man/common/man1: TERM = xterm-256color LIBRARY_PATH = /gpfs/runtime/opt/cuda/10.2/cuda/lib64:/gpfs/runtime/opt/cuda/10.2/cuda/lib:/gpfs/runtime/opt/cudnn/7.6.5/lib64:/gpfs/runtime/opt/python/3.7.4/lib:/gpfs/runtime/opt/binutils/2.31/lib:/gpfs/runtime/opt/intel/2017.0/lib/intel64:/gpfs/runtime/opt/intel/2017.0/mkl/lib/intel64 INCLUDE_PATH = /gpfs/runtime/opt/cudnn/7.6.5/include CUDA_HOME = /gpfs/runtime/opt/cuda/10.2/cuda LD_LIBRARY_PATH = /gpfs/runtime/opt/cuda/10.2/src/lib64:/gpfs/runtime/opt/cuda/10.2/src/lib:/gpfs/runtime/opt/cudnn/7.6.5/lib64:/gpfs/runtime/opt/python/3.7.4/lib:/gpfs/runtime/opt/gcc/8.3/lib64:/gpfs/runtime/opt/binutils/2.31/lib:/gpfs/runtime/opt/intel/2017.0/lib/intel64:/gpfs/runtime/opt/intel/2017.0/mkl/lib/intel64:/gpfs/runtime/opt/java/8u111/jre/lib/amd64 CPATH = /gpfs/runtime/opt/cuda/10.2/cuda/include:/gpfs/runtime/opt/cudnn/7.6.5/include:/gpfs/runtime/opt/python/3.7.4/include:/gpfs/runtime/opt/gcc/8.3/include:/gpfs/runtime/opt/binutils/2.31/include:/gpfs/runtime/opt/intel/2017.0/mkl/include NLSPATH = /gpfs/runtime/opt/intel/2017.0/lib/intel64/locale/en_US:/gpfs/runtime/opt/intel/2017.0/mkl/lib/intel64/locale/en_US PATH = /gpfs/runtime/opt/cuda/10.2/cuda/bin:/users/daluthge/bin:/gpfs/runtime/opt/python/3.7.4/bin:/gpfs/runtime/opt/git/2.20.2/bin:/gpfs/runtime/opt/gcc/8.3/bin:/gpfs/runtime/opt/binutils/2.31/bin:/gpfs/runtime/opt/intel/2017.0/bin:/gpfs/runtime/opt/matlab/R2017b/bin:/gpfs/runtime/opt/java/8u111/bin:/usr/lib64/qt-3.3/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/usr/lpp/mmfs/bin:/usr/lpp/mmfs/sbin:/opt/ibutils/bin:/gpfs/runtime/bin C_INCLUDE_PATH = /gpfs/runtime/opt/cudnn/7.6.5/include:/gpfs/runtime/opt/gcc/8.3/include LD_RUN_PATH = /gpfs/runtime/opt/cuda/10.2/cuda/lib64:/gpfs/runtime/opt/cuda/10.2/cuda/lib:/gpfs/runtime/opt/cudnn/7.6.5/lib64:/gpfs/runtime/opt/cudnn/7.6.5/lib:/gpfs/runtime/opt/python/3.7.4/lib:/gpfs/runtime/opt/gcc/8.3/lib64:/gpfs/runtime/opt/binutils/2.31/lib:/gpfs/runtime/opt/intel/2017.0/lib/intel64:/gpfs/runtime/opt/intel/2017.0/mkl/lib/intel64 JAVA_HOME = /gpfs/runtime/opt/java/8u111 MODULEPATH = /gpfs/runtime/modulefiles HOME = /users/daluthge IPP_PATH = /gpfs/runtime/opt/intel/2017.0/ipp MODULEHOME = /gpfs/runtime/pymodules PKG_CONFIG_PATH = /gpfs/runtime/opt/python/3.7.4/lib/pkgconfig QT_PLUGIN_PATH = /usr/lib64/kde4/plugins:/usr/lib/kde4/plugins (ToyFHE) pkg> st Project ToyFHE v0.1.0 Status `/gpfs_home/daluthge/Desktop/ToyFHE.jl/Project.toml` [c3fe647b] AbstractAlgebra v0.7.1 #master (https://github.com/Nemocas/AbstractAlgebra.jl.git) [15f4f7f2] AutoHashEquals v0.2.0 [fbb218c0] BSON v0.2.4 [c3b6d118] BitIntegers v0.2.0 #kf/div (https://github.com/Keno/BitIntegers.jl) [3a865a2d] CuArrays v1.3.0 #master (https://github.com/JuliaGPU/CuArrays.jl.git) [ab62b9b5] DeepDiffs v1.1.0 [31c24e10] Distributions v0.21.1 #kf/discretenormal (https://github.com/Keno/Distributions.jl) [7a1cc6ca] FFTW v1.0.1 [587475ba] Flux v0.9.0 [65ccaadd] FourierTransforms v0.0.0 #master (https://github.com/JuliaComputing/FourierTransforms.jl) [0c68f7d7] GPUArrays v1.0.4 #master (https://github.com/JuliaGPU/GPUArrays.jl.git) [8d0d7f98] GaloisFields v0.4.0 #master (https://github.com/tkluck/GaloisFields.jl.git) [3e1990a7] Hecke v0.6.5 #kf/discard2 (https://github.com/Keno/Hecke.jl) [7869d1d1] IRTools v0.3.0 #master (https://github.com/MikeInnes/IRTools.jl.git) [aa1ae85d] JuliaInterpreter v0.7.4 [7475f97c] Mods v0.1.0 [2edaba10] Nemo v0.15.1 #master (https://github.com/Nemocas/Nemo.jl.git) [6fe1bfb0] OffsetArrays v0.11.1 [f27b6e38] Polynomials v0.5.3 [27ebfcd6] Primes v0.4.0+ #master (https://github.com/JuliaMath/Primes.jl.git) [09ab397b] StructArrays v0.4.0 #kf/fhe (https://github.com/Keno/StructArrays.jl) [700de1a5] ZygoteRules v0.2.0 #master (https://github.com/FluxML/ZygoteRules.jl.git) [37e2e46d] LinearAlgebra [9a3f8284] Random (ToyFHE) pkg> st -m Project ToyFHE v0.1.0 Status `/gpfs_home/daluthge/Desktop/ToyFHE.jl/Manifest.toml` [c3fe647b] AbstractAlgebra v0.7.1 #master (https://github.com/Nemocas/AbstractAlgebra.jl.git) [621f4979] AbstractFFTs v0.4.1 [1520ce14] AbstractTrees v0.2.1 [79e6a3ab] Adapt v1.0.0 [7d9fca2a] Arpack v0.3.1 [15f4f7f2] AutoHashEquals v0.2.0 [fbb218c0] BSON v0.2.4 [9e28174c] BinDeps v0.8.10 [b99e7846] BinaryProvider v0.5.8 [c3b6d118] BitIntegers v0.2.0 #kf/div (https://github.com/Keno/BitIntegers.jl) [fa961155] CEnum v0.2.0 [3895d2a7] CUDAapi v1.2.0 [c5f51814] CUDAdrv v4.0.3 [be33ccc6] CUDAnative v2.5.4 [da1fd8a2] CodeTracking v0.5.8 [944b1d66] CodecZlib v0.6.0 [3da002f7] ColorTypes v0.8.0 [5ae59095] Colors v0.9.6 [bbf7d656] CommonSubexpressions v0.2.0 [34da2185] Compat v2.2.0 [8f4d0f93] Conda v1.3.0 [3a865a2d] CuArrays v1.3.0 #master (https://github.com/JuliaGPU/CuArrays.jl.git) [9a962f9c] DataAPI v1.1.0 [864edb3b] DataStructures v0.17.5 [ab62b9b5] DeepDiffs v1.1.0 [163ba53b] DiffResults v0.0.4 [b552c78f] DiffRules v0.0.10 [31c24e10] Distributions v0.21.1 #kf/discretenormal (https://github.com/Keno/Distributions.jl) [7a1cc6ca] FFTW v1.0.1 [1a297f60] FillArrays v0.7.4 [53c48c17] FixedPointNumbers v0.6.1 [587475ba] Flux v0.9.0 [f6369f11] ForwardDiff v0.10.6 [65ccaadd] FourierTransforms v0.0.0 #master (https://github.com/JuliaComputing/FourierTransforms.jl) [0c68f7d7] GPUArrays v1.0.4 #master (https://github.com/JuliaGPU/GPUArrays.jl.git) [8d0d7f98] GaloisFields v0.4.0 #master (https://github.com/tkluck/GaloisFields.jl.git) [cd3eb016] HTTP v0.8.8 [3e1990a7] Hecke v0.6.5 #kf/discard2 (https://github.com/Keno/Hecke.jl) [7869d1d1] IRTools v0.3.0 #master (https://github.com/MikeInnes/IRTools.jl.git) [83e8ac13] IniFile v0.5.0 [682c06a0] JSON v0.21.0 [aa1ae85d] JuliaInterpreter v0.7.4 [e5e0dc1b] Juno v0.7.2 [929cbde3] LLVM v1.3.2 [1914dd2f] MacroTools v0.5.2 [739be429] MbedTLS v0.7.0 [e89f7d12] Media v0.5.0 [e1d29d7a] Missings v0.4.3 [7475f97c] Mods v0.1.0 [872c559c] NNlib v0.6.0 [77ba4419] NaNMath v0.3.2 [2edaba10] Nemo v0.15.1 #master (https://github.com/Nemocas/Nemo.jl.git) [6fe1bfb0] OffsetArrays v0.11.1 [bac558e1] OrderedCollections v1.1.0 [90014a1f] PDMats v0.9.10 [69de0a69] Parsers v0.3.8 [f27b6e38] Polynomials v0.5.3 [2dfb63ee] PooledArrays v0.5.2 [27ebfcd6] Primes v0.4.0+ #master (https://github.com/JuliaMath/Primes.jl.git) [1fd47b50] QuadGK v2.1.1 [3cdcf5f2] RecipesBase v0.7.0 [189a3867] Reexport v0.2.0 [ae029012] Requires v0.5.2 [79098fc4] Rmath v0.6.0 [a2af1166] SortingAlgorithms v0.3.1 [276daf66] SpecialFunctions v0.7.2 [90137ffa] StaticArrays v0.12.1 [2913bbd2] StatsBase v0.32.0 [4c63d2b9] StatsFuns v0.8.0 [09ab397b] StructArrays v0.4.0 #kf/fhe (https://github.com/Keno/StructArrays.jl) [a759f4b9] TimerOutputs v0.5.3 [9f7883ad] Tracker v0.2.5 [3bb67fe8] TranscodingStreams v0.9.5 [30578b45] URIParser v0.4.0 [81def892] VersionParsing v1.1.3 [a5390f91] ZipFile v0.8.3 [700de1a5] ZygoteRules v0.2.0 #master (https://github.com/FluxML/ZygoteRules.jl.git) [2a0f44e3] Base64 [ade2ca70] Dates [8bb1440f] DelimitedFiles [8ba89e20] Distributed [b77e0a4c] InteractiveUtils [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [44cfe95a] Pkg [de0858da] Printf [9abbd945] Profile [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA [9e88b42a] Serialization [1a1011a3] SharedArrays [6462fe0b] Sockets [2f01184e] SparseArrays [10745b16] Statistics [4607b0f0] SuiteSparse [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode
I can look into updating the manifest
I think the issue is that the manifest uses an old version of CuArrays that does not work on Julia master.
cc: @Keno