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1.5.0-DEV-4085873ec6.log
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Julia Version 1.5.0-DEV.431
Commit 4085873ec6 (2020-03-10 23:48 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed CUDAapi ──────────── v2.1.0
Installed Adapt ────────────── v1.0.1
Installed AbstractFFTs ─────── v0.5.0
Installed FillArrays ───────── v0.8.5
Installed FixedEffects ─────── v0.7.1
Installed BinaryProvider ───── v0.5.8
Installed GPUArrays ────────── v2.0.1
Installed CategoricalArrays ── v0.7.7
Installed Reexport ─────────── v0.2.0
Installed Requires ─────────── v1.0.1
Installed SortingAlgorithms ── v0.3.1
Installed TimerOutputs ─────── v0.5.3
Installed Compat ───────────── v3.8.0
Installed JSON ─────────────── v0.21.0
Installed NNlib ────────────── v0.6.6
Installed DataStructures ───── v0.17.10
Installed DataAPI ──────────── v1.1.0
Installed Parsers ──────────── v0.3.12
Installed CEnum ────────────── v0.2.0
Installed OrderedCollections ─ v1.1.0
Installed MacroTools ───────── v0.5.4
Installed CUDAnative ───────── v2.9.1
Installed LLVM ─────────────── v1.3.4
Installed Missings ─────────── v0.4.3
Installed StatsBase ────────── v0.32.2
Installed CuArrays ─────────── v1.7.0
Installed CUDAdrv ──────────── v5.1.0
Updating `~/.julia/environments/v1.5/Project.toml`
c8885935 + FixedEffects v0.7.1
Updating `~/.julia/environments/v1.5/Manifest.toml`
621f4979 + AbstractFFTs v0.5.0
79e6a3ab + Adapt v1.0.1
b99e7846 + BinaryProvider v0.5.8
fa961155 + CEnum v0.2.0
3895d2a7 + CUDAapi v2.1.0
c5f51814 + CUDAdrv v5.1.0
be33ccc6 + CUDAnative v2.9.1
324d7699 + CategoricalArrays v0.7.7
34da2185 + Compat v3.8.0
3a865a2d + CuArrays v1.7.0
9a962f9c + DataAPI v1.1.0
864edb3b + DataStructures v0.17.10
1a297f60 + FillArrays v0.8.5
c8885935 + FixedEffects v0.7.1
0c68f7d7 + GPUArrays v2.0.1
682c06a0 + JSON v0.21.0
929cbde3 + LLVM v1.3.4
1914dd2f + MacroTools v0.5.4
e1d29d7a + Missings v0.4.3
872c559c + NNlib v0.6.6
bac558e1 + OrderedCollections v1.1.0
69de0a69 + Parsers v0.3.12
189a3867 + Reexport v0.2.0
ae029012 + Requires v1.0.1
a2af1166 + SortingAlgorithms v0.3.1
2913bbd2 + StatsBase v0.32.2
a759f4b9 + TimerOutputs v0.5.3
2a0f44e3 + Base64
ade2ca70 + Dates
8bb1440f + DelimitedFiles
8ba89e20 + Distributed
9fa8497b + Future
b77e0a4c + InteractiveUtils
76f85450 + LibGit2
8f399da3 + Libdl
37e2e46d + LinearAlgebra
56ddb016 + Logging
d6f4376e + Markdown
a63ad114 + Mmap
44cfe95a + Pkg
de0858da + Printf
3fa0cd96 + REPL
9a3f8284 + Random
ea8e919c + SHA
9e88b42a + Serialization
1a1011a3 + SharedArrays
6462fe0b + Sockets
2f01184e + SparseArrays
10745b16 + Statistics
8dfed614 + Test
cf7118a7 + UUIDs
4ec0a83e + Unicode
Building NNlib → `~/.julia/packages/NNlib/FAI3o/deps/build.log`
Testing FixedEffects
Status `/tmp/jl_YAcN94/Project.toml`
3895d2a7 CUDAapi v2.1.0
324d7699 CategoricalArrays v0.7.7
3a865a2d CuArrays v1.7.0
1a297f60 FillArrays v0.8.5
c8885935 FixedEffects v0.7.1
189a3867 Reexport v0.2.0
2913bbd2 StatsBase v0.32.2
8ba89e20 Distributed
37e2e46d LinearAlgebra
8dfed614 Test
Status `/tmp/jl_YAcN94/Manifest.toml`
621f4979 AbstractFFTs v0.5.0
79e6a3ab Adapt v1.0.1
b99e7846 BinaryProvider v0.5.8
fa961155 CEnum v0.2.0
3895d2a7 CUDAapi v2.1.0
c5f51814 CUDAdrv v5.1.0
be33ccc6 CUDAnative v2.9.1
324d7699 CategoricalArrays v0.7.7
34da2185 Compat v3.8.0
3a865a2d CuArrays v1.7.0
9a962f9c DataAPI v1.1.0
864edb3b DataStructures v0.17.10
1a297f60 FillArrays v0.8.5
c8885935 FixedEffects v0.7.1
0c68f7d7 GPUArrays v2.0.1
682c06a0 JSON v0.21.0
929cbde3 LLVM v1.3.4
1914dd2f MacroTools v0.5.4
e1d29d7a Missings v0.4.3
872c559c NNlib v0.6.6
bac558e1 OrderedCollections v1.1.0
69de0a69 Parsers v0.3.12
189a3867 Reexport v0.2.0
ae029012 Requires v1.0.1
a2af1166 SortingAlgorithms v0.3.1
2913bbd2 StatsBase v0.32.2
a759f4b9 TimerOutputs v0.5.3
2a0f44e3 Base64
ade2ca70 Dates
8bb1440f DelimitedFiles
8ba89e20 Distributed
9fa8497b Future
b77e0a4c InteractiveUtils
76f85450 LibGit2
8f399da3 Libdl
37e2e46d LinearAlgebra
56ddb016 Logging
d6f4376e Markdown
a63ad114 Mmap
44cfe95a Pkg
de0858da Printf
3fa0cd96 REPL
9a3f8284 Random
ea8e919c SHA
9e88b42a Serialization
1a1011a3 SharedArrays
6462fe0b Sockets
2f01184e SparseArrays
10745b16 Statistics
8dfed614 Test
cf7118a7 UUIDs
4ec0a83e Unicode
Running tests:
┌ Warning: Incompatibility detected between CUDA and LLVM 8.0+; disabling debug info emission for CUDA kernels
└ @ CUDAnative ~/.julia/packages/CUDAnative/JfXpo/src/CUDAnative.jl:88
┌ Warning: Assignment to `c` in soft scope is ambiguous because a global variable by the same name exists: `c` will be treated as a new local. Disambiguate by using `local c` to suppress this warning or `global c` to assign to the existing global variable.
└ @ ~/.julia/packages/FixedEffects/VeEr1/test/solve.jl:36
┌ Warning: Assignment to `iter` in soft scope is ambiguous because a global variable by the same name exists: `iter` will be treated as a new local. Disambiguate by using `local iter` to suppress this warning or `global iter` to assign to the existing global variable.
└ @ ~/.julia/packages/FixedEffects/VeEr1/test/solve.jl:36
┌ Warning: Assignment to `conv` in soft scope is ambiguous because a global variable by the same name exists: `conv` will be treated as a new local. Disambiguate by using `local conv` to suppress this warning or `global conv` to assign to the existing global variable.
└ @ ~/.julia/packages/FixedEffects/VeEr1/test/solve.jl:36
┌ Warning: Assignment to `r` in soft scope is ambiguous because a global variable by the same name exists: `r` will be treated as a new local. Disambiguate by using `local r` to suppress this warning or `global r` to assign to the existing global variable.
└ @ ~/.julia/packages/FixedEffects/VeEr1/test/solve.jl:38
cpu Float32
gpu Float32
[ Info: Building the CUDAnative run-time library for your sm_75 device, this might take a while...
[1m[31mFAILED[0m: solve.jl
LoadError: MethodError: no method matching Base.CodegenParams(; cached=false, track_allocations=false, code_coverage=false, static_alloc=false, prefer_specsig=true, module_setup=CUDAnative.var"#hook_module_setup#93"(Core.Box(#undef)), module_activation=CUDAnative.var"#hook_module_activation#94"{CUDAnative.CompilerJob,CUDAnative.var"#postprocess#92",DataStructures.MultiDict{Core.MethodInstance,LLVM.Function}}(CUDAnative.CompilerJob(CUDAnative.Runtime.unbox_uint64, Tuple{Any}, v"7.5.0", false, nothing, nothing, nothing, nothing, nothing), CUDAnative.var"#postprocess#92"(), Core.Box(nothing), DataStructures.MultiDict{Core.MethodInstance,LLVM.Function}(Dict{Core.MethodInstance,Array{LLVM.Function,1}}()), Core.Box(#undef), Core.Box(#undef)), emit_function=CUDAnative.var"#hook_emit_function#97"{CUDAnative.CompilerJob,Array{Core.MethodInstance,1}}(CUDAnative.CompilerJob(CUDAnative.Runtime.unbox_uint64, Tuple{Any}, v"7.5.0", false, nothing, nothing, nothing, nothing, nothing), Core.MethodInstance[]), emitted_function=CUDAnative.var"#hook_emitted_function#98"{CUDAnative.CompilerJob,Array{Core.MethodInstance,1}}(CUDAnative.CompilerJob(CUDAnative.Runtime.unbox_uint64, Tuple{Any}, v"7.5.0", false, nothing, nothing, nothing, nothing, nothing), Core.Box(nothing), Core.MethodInstance[]), gnu_pubnames=false, debug_info_kind=0)
Closest candidates are:
Base.CodegenParams(; track_allocations, code_coverage, static_alloc, prefer_specsig, gnu_pubnames, debug_info_kind, module_setup, module_activation, raise_exception, emit_function, emitted_function) at reflection.jl:986 got unsupported keyword argument "cached"
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/test/runtests.jl:11
[2] include(::String) at ./client.jl:441
[3] top-level scope at none:6
[4] eval(::Module, ::Any) at ./boot.jl:331
[5] exec_options(::Base.JLOptions) at ./client.jl:264
[6] _start() at ./client.jl:490
in expression starting at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/test/solve.jl:34ERROR: LoadError: LoadError: MethodError: no method matching Base.CodegenParams(; cached=false, track_allocations=false, code_coverage=false, static_alloc=false, prefer_specsig=true, module_setup=CUDAnative.var"#hook_module_setup#93"(Core.Box(#undef)), module_activation=CUDAnative.var"#hook_module_activation#94"{CUDAnative.CompilerJob,CUDAnative.var"#postprocess#92",DataStructures.MultiDict{Core.MethodInstance,LLVM.Function}}(CUDAnative.CompilerJob(CUDAnative.Runtime.unbox_uint64, Tuple{Any}, v"7.5.0", false, nothing, nothing, nothing, nothing, nothing), CUDAnative.var"#postprocess#92"(), Core.Box(nothing), DataStructures.MultiDict{Core.MethodInstance,LLVM.Function}(Dict{Core.MethodInstance,Array{LLVM.Function,1}}()), Core.Box(#undef), Core.Box(#undef)), emit_function=CUDAnative.var"#hook_emit_function#97"{CUDAnative.CompilerJob,Array{Core.MethodInstance,1}}(CUDAnative.CompilerJob(CUDAnative.Runtime.unbox_uint64, Tuple{Any}, v"7.5.0", false, nothing, nothing, nothing, nothing, nothing), Core.MethodInstance[]), emitted_function=CUDAnative.var"#hook_emitted_function#98"{CUDAnative.CompilerJob,Array{Core.MethodInstance,1}}(CUDAnative.CompilerJob(CUDAnative.Runtime.unbox_uint64, Tuple{Any}, v"7.5.0", false, nothing, nothing, nothing, nothing, nothing), Core.Box(nothing), Core.MethodInstance[]), gnu_pubnames=false, debug_info_kind=0)
Closest candidates are:
Base.CodegenParams(; track_allocations, code_coverage, static_alloc, prefer_specsig, gnu_pubnames, debug_info_kind, module_setup, module_activation, raise_exception, emit_function, emitted_function) at reflection.jl:986 got unsupported keyword argument "cached"
Stacktrace:
[1] kwerr(::NamedTuple{(:cached, :track_allocations, :code_coverage, :static_alloc, :prefer_specsig, :module_setup, :module_activation, :emit_function, :emitted_function, :gnu_pubnames, :debug_info_kind),Tuple{Bool,Bool,Bool,Bool,Bool,CUDAnative.var"#hook_module_setup#93",CUDAnative.var"#hook_module_activation#94"{CUDAnative.CompilerJob,CUDAnative.var"#postprocess#92",DataStructures.MultiDict{Core.MethodInstance,LLVM.Function}},CUDAnative.var"#hook_emit_function#97"{CUDAnative.CompilerJob,Array{Core.MethodInstance,1}},CUDAnative.var"#hook_emitted_function#98"{CUDAnative.CompilerJob,Array{Core.MethodInstance,1}},Bool,Int32}}, ::Type{T} where T) at ./error.jl:157
[2] compile_method_instance(::CUDAnative.CompilerJob, ::Core.MethodInstance, ::UInt64) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/irgen.jl:148
[3] macro expansion at /home/pkgeval/.julia/packages/TimerOutputs/7Id5J/src/TimerOutput.jl:228 [inlined]
[4] irgen(::CUDAnative.CompilerJob, ::Core.MethodInstance, ::UInt64) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/irgen.jl:165
[5] macro expansion at /home/pkgeval/.julia/packages/TimerOutputs/7Id5J/src/TimerOutput.jl:228 [inlined]
[6] macro expansion at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/driver.jl:104 [inlined]
[7] macro expansion at /home/pkgeval/.julia/packages/TimerOutputs/7Id5J/src/TimerOutput.jl:228 [inlined]
[8] codegen(::Symbol, ::CUDAnative.CompilerJob; libraries::Bool, dynamic_parallelism::Bool, optimize::Bool, strip::Bool, strict::Bool) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/driver.jl:103
[9] emit_function!(::LLVM.Module, ::VersionNumber, ::Function, ::Tuple{DataType}, ::String) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/rtlib.jl:144
[10] build_runtime(::VersionNumber) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/rtlib.jl:154
[11] (::CUDAnative.var"#139#142"{VersionNumber,String})() at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/rtlib.jl:189
[12] get!(::CUDAnative.var"#139#142"{VersionNumber,String}, ::Dict{String,LLVM.Module}, ::String) at ./dict.jl:450
[13] load_runtime(::VersionNumber) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/rtlib.jl:182
[14] codegen(::Symbol, ::CUDAnative.CompilerJob; libraries::Bool, dynamic_parallelism::Bool, optimize::Bool, strip::Bool, strict::Bool) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/driver.jl:99
[15] compile(::Symbol, ::CUDAnative.CompilerJob; libraries::Bool, dynamic_parallelism::Bool, optimize::Bool, strip::Bool, strict::Bool) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/driver.jl:52
[16] #compile#150 at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/compiler/driver.jl:33 [inlined]
[17] macro expansion at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/execution.jl:393 [inlined]
[18] cufunction(::typeof(FixedEffects.scale!_kernel!), ::Type{Tuple{CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global},CUDAnative.CuDeviceArray{UInt32,1,CUDAnative.AS.Global},CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global},CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global}}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/execution.jl:360
[19] cufunction(::Function, ::Type{T} where T) at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/execution.jl:360
[20] macro expansion at /home/pkgeval/.julia/packages/CUDAnative/JfXpo/src/execution.jl:179 [inlined]
[21] scale!(::CuArrays.CuArray{Float32,1,Nothing}, ::CuArrays.CuArray{UInt32,1,Nothing}, ::CuArrays.CuArray{Float32,1,Nothing}, ::CuArrays.CuArray{Float32,1,Nothing}, ::Int64) at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/src/FixedEffectSolvers/FixedEffectSolverGPU.jl:51
[22] update_weights!(::FixedEffects.FixedEffectSolverGPU{Float32}, ::Weights{Float64,Float64,FillArrays.Ones{Float64,1,Tuple{Base.OneTo{Int64}}}}) at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/src/FixedEffectSolvers/FixedEffectSolverGPU.jl:166
[23] AbstractFixedEffectSolver{Float32}(::Array{FixedEffect{Array{UInt32,1},FillArrays.Ones{Float64,1,Tuple{Base.OneTo{Int64}}}},1}, ::Weights{Float64,Float64,FillArrays.Ones{Float64,1,Tuple{Base.OneTo{Int64}}}}, ::Type{Val{:gpu}}) at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/src/FixedEffectSolvers/FixedEffectSolverGPU.jl:159
[24] solve_coefficients!(::Array{Float64,1}, ::Array{FixedEffect{Array{UInt32,1},FillArrays.Ones{Float64,1,Tuple{Base.OneTo{Int64}}}},1}, ::Weights{Float64,Float64,FillArrays.Ones{Float64,1,Tuple{Base.OneTo{Int64}}}}; method::Symbol, double_precision::Bool, tol::Float64, maxiter::Int64) at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/src/AbstractFixedEffectSolver.jl:97
[25] top-level scope at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/test/solve.jl:36
[26] include(::String) at ./client.jl:441
[27] top-level scope at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/test/runtests.jl:7
[28] include(::String) at ./client.jl:441
[29] top-level scope at none:6
in expression starting at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/test/solve.jl:34
in expression starting at /home/pkgeval/.julia/packages/FixedEffects/VeEr1/test/runtests.jl:5
ERROR: Package FixedEffects errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Types.jl:53
[2] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Operations.jl:1523
[3] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:316
[4] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:303
[5] #test#68 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:297 [inlined]
[6] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:297 [inlined]
[7] #test#67 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:296 [inlined]
[8] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:296 [inlined]
[9] test(::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:295
[10] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:295
[11] top-level scope at none:13