Repository: JuliaGPU/CUDA.jl

Issue #182: Testsuite calls startup.jl
Created: 2020-05-28T18:23:17Z
Current the testsuite starts processes that use the startup.jl, but those cause errors like "benchmarktools.jl not found" because they're in a specific project. It'd be good if all the julia instances started up used --startup=no

Duplicate issue #246: Running `] test CUDA` with `OhMyREPL` in `startup.jl` causes some tests to fail
Created: 2020-06-23T22:21:12Z
Describe the bug
As explained in the title. When I try to test CUDA in the Julia REPL with ] test CUDA, I get the following output:

Click to expand
    Testing CUDA
Status `/tmp/jl_9FE7GU/Manifest.toml`
  [621f4979] AbstractFFTs v0.5.0
  [79e6a3ab] Adapt v2.0.2
  [b99e7846] BinaryProvider v0.5.10
  [fa961155] CEnum v0.4.1
  [052768ef] CUDA v1.0.2
  [bbf7d656] CommonSubexpressions v0.2.0
  [e66e0078] CompilerSupportLibraries_jll v0.3.3+0
  [864edb3b] DataStructures v0.17.18
  [163ba53b] DiffResults v1.0.2
  [b552c78f] DiffRules v1.0.1
  [e2ba6199] ExprTools v0.1.1
  [7a1cc6ca] FFTW v1.2.2
  [f5851436] FFTW_jll v3.3.9+5
  [1a297f60] FillArrays v0.8.11
  [f6369f11] ForwardDiff v0.10.10
  [0c68f7d7] GPUArrays v4.0.0
  [61eb1bfa] GPUCompiler v0.4.0
  [1d5cc7b8] IntelOpenMP_jll v2018.0.3+0
  [929cbde3] LLVM v1.6.0
  [856f044c] MKL_jll v2020.1.216+0
  [1914dd2f] MacroTools v0.5.5
  [a6bfbf70] NNPACK_jll v2018.6.22+0
  [872c559c] NNlib v0.7.0
  [77ba4419] NaNMath v0.3.3
  [efe28fd5] OpenSpecFun_jll v0.5.3+3
  [bac558e1] OrderedCollections v1.2.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v1.0.1
  [276daf66] SpecialFunctions v0.10.3
  [90137ffa] StaticArrays v0.12.3
  [a759f4b9] TimerOutputs v0.5.6
  [2a0f44e3] Base64 
  [ade2ca70] Dates 
  [8ba89e20] Distributed 
  [b77e0a4c] InteractiveUtils 
  [76f85450] LibGit2 
  [8f399da3] Libdl 
  [37e2e46d] LinearAlgebra 
  [56ddb016] Logging 
  [d6f4376e] Markdown 
  [44cfe95a] Pkg 
  [de0858da] Printf 
  [3fa0cd96] REPL 
  [9a3f8284] Random 
  [ea8e919c] SHA 
  [9e88b42a] Serialization 
  [6462fe0b] Sockets 
  [2f01184e] SparseArrays 
  [10745b16] Statistics 
  [8dfed614] Test 
  [cf7118a7] UUIDs 
  [4ec0a83e] Unicode 
[ Info: Testing using device GeForce GTX 1050 Ti (compute capability 6.1.0, 3.484 GiB available memory) on CUDA driver 10.2.0 and toolkit 10.2.89
[ Info: Skipping the following tests: cutensor, device/wmma
Test                        (Worker) | Time (s) | GPU GC (s) | GPU GC % | GPU Alloc (MB) | CPU GC (s) | CPU GC % | CPU Alloc (MB) | RSS (MB)
initialization                   (2) |     2.31 |       0.00 |      0.0 |           0.00 |       0.03 |      1.4 |         160.93 |   628.56
apiutils                         (2) |     0.17 |       0.00 |      0.0 |           0.00 |       0.00 |      0.0 |           5.70 |   628.56
array                            (2) |    49.97 |       0.31 |      0.6 |           5.20 |       1.79 |      3.6 |        6924.19 |   928.23
broadcast                        (2) |    19.93 |       0.00 |      0.0 |           0.00 |       0.49 |      2.5 |        1646.68 |   928.23
codegen                          (2) |     3.39 |       0.00 |      0.0 |           0.00 |       0.08 |      2.4 |         318.60 |  1067.69
cublas                           (2) |    46.72 |       0.03 |      0.1 |          11.11 |       1.56 |      3.3 |        6836.25 |  1289.42
cudnn                            (2) |    51.42 |       0.02 |      0.0 |           0.62 |       1.51 |      2.9 |        5940.03 |  2020.76
cufft                            (2) |    16.35 |       0.01 |      0.0 |         144.16 |       0.54 |      3.3 |        2047.33 |  2223.32
curand                           (2) |     3.75 |       0.00 |      0.0 |           0.01 |       0.11 |      2.9 |         441.03 |  2227.61
cusolver                         (2) |    41.61 |       0.05 |      0.1 |        1128.67 |       1.37 |      3.3 |        5399.32 |  2612.80
cusparse                         (2) |    41.52 |       0.01 |      0.0 |          10.73 |       1.02 |      2.5 |        4312.73 |  3022.62
      From worker 2:	ERROR: LoadError: ArgumentError: Package OhMyREPL not found in current path:
      From worker 2:	- Run `import Pkg; Pkg.add("OhMyREPL")` to install the OhMyREPL package.
      From worker 2:	
      From worker 2:	Stacktrace:
      From worker 2:	 [1] require(::Module, ::Symbol) at ./loading.jl:892
      From worker 2:	 [2] include(::Module, ::String) at ./Base.jl:377
      From worker 2:	 [3] include_ifexists at ./client.jl:212 [inlined]
      From worker 2:	 [4] load_julia_startup() at ./client.jl:320
      From worker 2:	 [5] exec_options(::Base.JLOptions) at ./client.jl:259
      From worker 2:	 [6] _start() at ./client.jl:484
      From worker 2:	in expression starting at /home/christophe/.julia/config/startup.jl:2
      From worker 2:	ERROR: LoadError: ArgumentError: Package OhMyREPL not found in current path:
      From worker 2:	- Run `import Pkg; Pkg.add("OhMyREPL")` to install the OhMyREPL package.
      From worker 2:	
      From worker 2:	Stacktrace:
      From worker 2:	 [1] require(::Module, ::Symbol) at ./loading.jl:892
      From worker 2:	 [2] include(::Module, ::String) at ./Base.jl:377
      From worker 2:	 [3] include_ifexists at ./client.jl:212 [inlined]
      From worker 2:	 [4] load_julia_startup() at ./client.jl:320
      From worker 2:	 [5] exec_options(::Base.JLOptions) at ./client.jl:259
      From worker 2:	 [6] _start() at ./client.jl:484
      From worker 2:	in expression starting at /home/christophe/.julia/config/startup.jl:2
      From worker 2:	ERROR: LoadError: ArgumentError: Package OhMyREPL not found in current path:
      From worker 2:	- Run `import Pkg; Pkg.add("OhMyREPL")` to install the OhMyREPL package.
      From worker 2:	


The stacktrace keeps repeating itself afterwards. Running the REPL with julia --startup-file=no does not help. The error still appears. The only way to remove the error is to comment out using OhMyREPL in startup.jl.
To reproduce
Simply install OhMyREPL in the default environment and have using OhMyREPL in the startup.jl file. Then run:
] test CUDA
in the REPL after activating the environment containing CUDA.
Expected behavior
I would expect all the tests to run fine regardless of the presence of using OhMyREPL in the startup.jl file.
Version info
Details on Julia:
versioninfo()
Julia Version 1.4.2
Commit 44fa15b150* (2020-05-23 18:35 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-8.0.1 (ORCJIT, skylake)

Details on CUDA:
CUDA.versioninfo()


There is no CUDA.versioninfo() for me to run (like, literally. I get ERROR: UndefVarError: versioninfo not defined). Installed version of CUDA is 1.0.2 as given by ] status. The stacktrace gives info about my GPU and CUDA driver and toolkit installed. Note that CUDA.version() returns v"10.2.0". I take it there's a typo somewhere.
Additional context
This is on a computer running Ubuntu 20.04, CUDA installed in a pristine environment.

Closing comment (2020-07-02T11:30:36Z): Dup of #182, fixed by #184.