Ballot intrinsics should use .sync variety #711

JonasIsensee · 2021-02-12T13:08:20Z

Describe the bug

A clear and concise description of what the bug is.
Hi,
I just installed CUDA for the first time on a clean julia environment for julia v1.6-rc1
and ] test CUDA fails.

Manifest.toml

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version = "1.0.0"

[[Adapt]]
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[[ArgTools]]
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[[Artifacts]]
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[[BFloat16s]]
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[[Base64]]
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[[Downloads]]
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version = "0.4.5"

[[Mmap]]
uuid = "a63ad114-7e13-5084-954f-fe012c677804"

[[MosaicViews]]
deps = ["MappedArrays", "OffsetArrays", "PaddedViews"]
git-tree-sha1 = "614e8d77264d20c1db83661daadfab38e8e4b77e"
uuid = "e94cdb99-869f-56ef-bcf0-1ae2bcbe0389"
version = "0.2.4"

[[MozillaCACerts_jll]]
uuid = "14a3606d-f60d-562e-9121-12d972cd8159"

[[NNlib]]
deps = ["ChainRulesCore", "Compat", "LinearAlgebra", "Pkg", "Requires", "Statistics"]
git-tree-sha1 = "df42d0816edfc24f5b82a728f46381613c4dff79"
uuid = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
version = "0.7.14"

[[NaNMath]]
git-tree-sha1 = "bfe47e760d60b82b66b61d2d44128b62e3a369fb"
uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
version = "0.3.5"

[[NetworkOptions]]
uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"

[[OffsetArrays]]
deps = ["Adapt"]
git-tree-sha1 = "76622f08645764e040b4d7e86d0ff471fd126ae4"
uuid = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
version = "1.5.3"

[[OpenSpecFun_jll]]
deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
git-tree-sha1 = "9db77584158d0ab52307f8c04f8e7c08ca76b5b3"
uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e"
version = "0.5.3+4"

[[OrderedCollections]]
git-tree-sha1 = "d45739abcfc03b51f6a42712894a593f74c80a23"
uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
version = "1.3.3"

[[PaddedViews]]
deps = ["OffsetArrays"]
git-tree-sha1 = "0fa5e78929aebc3f6b56e1a88cf505bb00a354c4"
uuid = "5432bcbf-9aad-5242-b902-cca2824c8663"
version = "0.5.8"

[[Parameters]]
deps = ["OrderedCollections", "UnPack"]
git-tree-sha1 = "2276ac65f1e236e0a6ea70baff3f62ad4c625345"
uuid = "d96e819e-fc66-5662-9728-84c9c7592b0a"
version = "0.12.2"

[[Parsers]]
deps = ["Dates"]
git-tree-sha1 = "50c9a9ed8c714945e01cd53a21007ed3865ed714"
uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
version = "1.0.15"

[[Pkg]]
deps = ["Artifacts", "Dates", "Downloads", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs"]
uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"

[[Printf]]
deps = ["Unicode"]
uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7"

[[REPL]]
deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"]
uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"

[[Random]]
deps = ["Serialization"]
uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"

[[RangeArrays]]
git-tree-sha1 = "b9039e93773ddcfc828f12aadf7115b4b4d225f5"
uuid = "b3c3ace0-ae52-54e7-9d0b-2c1406fd6b9d"
version = "0.3.2"

[[Ratios]]
git-tree-sha1 = "37d210f612d70f3f7d57d488cb3b6eff56ad4e41"
uuid = "c84ed2f1-dad5-54f0-aa8e-dbefe2724439"
version = "0.4.0"

[[Reexport]]
git-tree-sha1 = "57d8440b0c7d98fc4f889e478e80f268d534c9d5"
uuid = "189a3867-3050-52da-a836-e630ba90ab69"
version = "1.0.0"

[[Requires]]
deps = ["UUIDs"]
git-tree-sha1 = "cfbac6c1ed70c002ec6361e7fd334f02820d6419"
uuid = "ae029012-a4dd-5104-9daa-d747884805df"
version = "1.1.2"

[[Rotations]]
deps = ["LinearAlgebra", "StaticArrays", "Statistics"]
git-tree-sha1 = "2ed8d8a16d703f900168822d83699b8c3c1a5cd8"
uuid = "6038ab10-8711-5258-84ad-4b1120ba62dc"
version = "1.0.2"

[[SHA]]
uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"

[[Scratch]]
deps = ["Dates"]
git-tree-sha1 = "ad4b278adb62d185bbcb6864dc24959ab0627bf6"
uuid = "6c6a2e73-6563-6170-7368-637461726353"
version = "1.0.3"

[[Serialization]]
uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"

[[SharedArrays]]
deps = ["Distributed", "Mmap", "Random", "Serialization"]
uuid = "1a1011a3-84de-559e-8e89-a11a2f7dc383"

[[SimpleTraits]]
deps = ["InteractiveUtils", "MacroTools"]
git-tree-sha1 = "daf7aec3fe3acb2131388f93a4c409b8c7f62226"
uuid = "699a6c99-e7fa-54fc-8d76-47d257e15c1d"
version = "0.9.3"

[[Sockets]]
uuid = "6462fe0b-24de-5631-8697-dd941f90decc"

[[SoftGlobalScope]]
deps = ["REPL"]
git-tree-sha1 = "986ec2b6162ccb95de5892ed17832f95badf770c"
uuid = "b85f4697-e234-5449-a836-ec8e2f98b302"
version = "1.1.0"

[[SortingAlgorithms]]
deps = ["DataStructures", "Random", "Test"]
git-tree-sha1 = "03f5898c9959f8115e30bc7226ada7d0df554ddd"
uuid = "a2af1166-a08f-5f64-846c-94a0d3cef48c"
version = "0.3.1"

[[SparseArrays]]
deps = ["LinearAlgebra", "Random"]
uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"

[[SpecialFunctions]]
deps = ["ChainRulesCore", "OpenSpecFun_jll"]
git-tree-sha1 = "75394dbe2bd346beeed750fb02baa6445487b862"
uuid = "276daf66-3868-5448-9aa4-cd146d93841b"
version = "1.2.1"

[[StaticArrays]]
deps = ["LinearAlgebra", "Random", "Statistics"]
git-tree-sha1 = "9da72ed50e94dbff92036da395275ed114e04d49"
uuid = "90137ffa-7385-5640-81b9-e52037218182"
version = "1.0.1"

[[Statistics]]
deps = ["LinearAlgebra", "SparseArrays"]
uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

[[StatsBase]]
deps = ["DataAPI", "DataStructures", "LinearAlgebra", "Missings", "Printf", "Random", "SortingAlgorithms", "SparseArrays", "Statistics"]
git-tree-sha1 = "7bab7d4eb46b225b35179632852b595a3162cb61"
uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
version = "0.33.2"

[[TOML]]
deps = ["Dates"]
uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"

[[Tar]]
deps = ["ArgTools", "SHA"]
uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"

[[Test]]
deps = ["InteractiveUtils", "Logging", "Random", "Serialization"]
uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[[TiledIteration]]
deps = ["OffsetArrays"]
git-tree-sha1 = "05f74c5b3c00d5336bc109416df2df907e3bd91d"
uuid = "06e1c1a7-607b-532d-9fad-de7d9aa2abac"
version = "0.2.5"

[[TimerOutputs]]
deps = ["Printf"]
git-tree-sha1 = "3318281dd4121ecf9713ce1383b9ace7d7476fdd"
uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
version = "0.5.7"

[[UUIDs]]
deps = ["Random", "SHA"]
uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

[[UnPack]]
git-tree-sha1 = "387c1f73762231e86e0c9c5443ce3b4a0a9a0c2b"
uuid = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"
version = "1.0.2"

[[Unicode]]
uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"

[[VersionParsing]]
git-tree-sha1 = "80229be1f670524750d905f8fc8148e5a8c4537f"
uuid = "81def892-9a0e-5fdd-b105-ffc91e053289"
version = "1.2.0"

[[WoodburyMatrices]]
deps = ["LinearAlgebra", "SparseArrays"]
git-tree-sha1 = "59e2ad8fd1591ea019a5259bd012d7aee15f995c"
uuid = "efce3f68-66dc-5838-9240-27a6d6f5f9b6"
version = "0.5.3"

[[ZMQ]]
deps = ["FileWatching", "Sockets", "ZeroMQ_jll"]
git-tree-sha1 = "fc68e8a3719166950a0f3e390a14c7302c48f8de"
uuid = "c2297ded-f4af-51ae-bb23-16f91089e4e1"
version = "1.2.1"

[[ZeroMQ_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "libsodium_jll"]
git-tree-sha1 = "74a74a3896b63980734cc876da8a103454559fe8"
uuid = "8f1865be-045e-5c20-9c9f-bfbfb0764568"
version = "4.3.2+6"

[[Zlib_jll]]
deps = ["Libdl"]
uuid = "83775a58-1f1d-513f-b197-d71354ab007a"

[[libsodium_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "7127f5f40332ccfa43ee07dcd0c4d81a27d9bb23"
uuid = "a9144af2-ca23-56d9-984f-0d03f7b5ccf8"
version = "1.0.18+1"

[[nghttp2_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"

Version info

Details on Julia:

julia> versioninfo()
Julia Version 1.6.0-rc1
Commit a58bdd9010 (2021-02-06 15:49 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) Platinum 8268 CPU @ 2.90GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-11.0.1 (ORCJIT, cascadelake)

Details on CUDA:

julia> CUDA.versioninfo()
CUDA toolkit 11.2.0, artifact installation
CUDA driver 11.2.0
NVIDIA driver 460.32.3

Libraries: 
- CUBLAS: 11.3.1
- CURAND: 10.2.3
- CUFFT: 10.4.0
- CUSOLVER: 11.0.2
- CUSPARSE: 11.3.1
- CUPTI: 14.0.0
- NVML: 11.0.0+460.32.3
- CUDNN: 8.10.0 (for CUDA 11.2.0)
- CUTENSOR: 1.2.2 (for CUDA 11.1.0)

Toolchain:
- Julia: 1.6.0-rc1
- LLVM: 11.0.1
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0
- Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80

2 devices:
  0: A100-PCIE-40GB (sm_80, 38.916 GiB / 39.586 GiB available)
  1: A100-PCIE-40GB (sm_80, 39.583 GiB / 39.586 GiB available)

`] test CUDA`

(@v1.6) pkg> test CUDA
     Testing CUDA
      Status `/tmp/jl_PxOBCI/Project.toml`
  [79e6a3ab] Adapt v3.2.0
  [ab4f0b2a] BFloat16s v0.1.0
  [052768ef] CUDA v2.6.0 `~/.julia/dev/CUDA`
  [864edb3b] DataStructures v0.18.9
  [7a1cc6ca] FFTW v1.3.2
  [1a297f60] FillArrays v0.11.2
  [f6369f11] ForwardDiff v0.10.16
  [0c68f7d7] GPUArrays v6.2.0
  [a98d9a8b] Interpolations v0.13.1
  [872c559c] NNlib v0.7.14
  [ade2ca70] Dates `@stdlib/Dates`
  [8ba89e20] Distributed `@stdlib/Distributed`
  [37e2e46d] LinearAlgebra `@stdlib/LinearAlgebra`
  [de0858da] Printf `@stdlib/Printf`
  [3fa0cd96] REPL `@stdlib/REPL`
  [9a3f8284] Random `@stdlib/Random`
  [2f01184e] SparseArrays `@stdlib/SparseArrays`
  [10745b16] Statistics `@stdlib/Statistics`
  [8dfed614] Test `@stdlib/Test`
      Status `/tmp/jl_PxOBCI/Manifest.toml`
  [621f4979] AbstractFFTs v1.0.0
  [79e6a3ab] Adapt v3.2.0
  [13072b0f] AxisAlgorithms v1.0.0
  [ab4f0b2a] BFloat16s v0.1.0
  [fa961155] CEnum v0.4.1
  [052768ef] CUDA v2.6.0 `~/.julia/dev/CUDA`
  [d360d2e6] ChainRulesCore v0.9.28
  [bbf7d656] CommonSubexpressions v0.3.0
  [34da2185] Compat v3.25.0
  [864edb3b] DataStructures v0.18.9
  [163ba53b] DiffResults v1.0.3
  [b552c78f] DiffRules v1.0.2
  [e2ba6199] ExprTools v0.1.3
  [7a1cc6ca] FFTW v1.3.2
  [1a297f60] FillArrays v0.11.2
  [f6369f11] ForwardDiff v0.10.16
  [0c68f7d7] GPUArrays v6.2.0
  [61eb1bfa] GPUCompiler v0.10.0
  [a98d9a8b] Interpolations v0.13.1
  [692b3bcd] JLLWrappers v1.2.0
  [929cbde3] LLVM v3.6.0
  [1914dd2f] MacroTools v0.5.6
  [c03570c3] Memoize v0.4.4
  [872c559c] NNlib v0.7.14
  [77ba4419] NaNMath v0.3.5
  [6fe1bfb0] OffsetArrays v1.5.3
  [bac558e1] OrderedCollections v1.3.3
  [c84ed2f1] Ratios v0.4.0
  [189a3867] Reexport v1.0.0
  [ae029012] Requires v1.1.2
  [6c6a2e73] Scratch v1.0.3
  [276daf66] SpecialFunctions v1.2.1
  [90137ffa] StaticArrays v1.0.1
  [a759f4b9] TimerOutputs v0.5.7
  [efce3f68] WoodburyMatrices v0.5.3
  [f5851436] FFTW_jll v3.3.9+7
  [1d5cc7b8] IntelOpenMP_jll v2018.0.3+2
  [856f044c] MKL_jll v2021.1.1+1
  [efe28fd5] OpenSpecFun_jll v0.5.3+4
  [0dad84c5] ArgTools `@stdlib/ArgTools`
  [56f22d72] Artifacts `@stdlib/Artifacts`
  [2a0f44e3] Base64 `@stdlib/Base64`
  [ade2ca70] Dates `@stdlib/Dates`
  [8bb1440f] DelimitedFiles `@stdlib/DelimitedFiles`
  [8ba89e20] Distributed `@stdlib/Distributed`
  [f43a241f] Downloads `@stdlib/Downloads`
  [b77e0a4c] InteractiveUtils `@stdlib/InteractiveUtils`
  [4af54fe1] LazyArtifacts `@stdlib/LazyArtifacts`
  [b27032c2] LibCURL `@stdlib/LibCURL`
  [76f85450] LibGit2 `@stdlib/LibGit2`
  [8f399da3] Libdl `@stdlib/Libdl`
  [37e2e46d] LinearAlgebra `@stdlib/LinearAlgebra`
  [56ddb016] Logging `@stdlib/Logging`
  [d6f4376e] Markdown `@stdlib/Markdown`
  [a63ad114] Mmap `@stdlib/Mmap`
  [ca575930] NetworkOptions `@stdlib/NetworkOptions`
  [44cfe95a] Pkg `@stdlib/Pkg`
  [de0858da] Printf `@stdlib/Printf`
  [3fa0cd96] REPL `@stdlib/REPL`
  [9a3f8284] Random `@stdlib/Random`
  [ea8e919c] SHA `@stdlib/SHA`
  [9e88b42a] Serialization `@stdlib/Serialization`
  [1a1011a3] SharedArrays `@stdlib/SharedArrays`
  [6462fe0b] Sockets `@stdlib/Sockets`
  [2f01184e] SparseArrays `@stdlib/SparseArrays`
  [10745b16] Statistics `@stdlib/Statistics`
  [fa267f1f] TOML `@stdlib/TOML`
  [a4e569a6] Tar `@stdlib/Tar`
  [8dfed614] Test `@stdlib/Test`
  [cf7118a7] UUIDs `@stdlib/UUIDs`
  [4ec0a83e] Unicode `@stdlib/Unicode`
  [e66e0078] CompilerSupportLibraries_jll `@stdlib/CompilerSupportLibraries_jll`
  [deac9b47] LibCURL_jll `@stdlib/LibCURL_jll`
  [29816b5a] LibSSH2_jll `@stdlib/LibSSH2_jll`
  [c8ffd9c3] MbedTLS_jll `@stdlib/MbedTLS_jll`
  [14a3606d] MozillaCACerts_jll `@stdlib/MozillaCACerts_jll`
  [83775a58] Zlib_jll `@stdlib/Zlib_jll`
  [8e850ede] nghttp2_jll `@stdlib/nghttp2_jll`
     Testing Running tests...
┌ Info: System information:
│ CUDA toolkit 11.2.0, artifact installation
│ CUDA driver 11.2.0
│ NVIDIA driver 460.32.3
│ 
│ Libraries: 
│ - CUBLAS: 11.3.1
│ - CURAND: 10.2.3
│ - CUFFT: 10.4.0
│ - CUSOLVER: 11.0.2
│ - CUSPARSE: 11.3.1
│ - CUPTI: 14.0.0
│ - NVML: 11.0.0+460.32.3
│ - CUDNN: 8.10.0 (for CUDA 11.2.0)
│ - CUTENSOR: 1.2.2 (for CUDA 11.1.0)
│ 
│ Toolchain:
│ - Julia: 1.6.0-rc1
│ - LLVM: 11.0.1
│ - PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0
│ - Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80
│ 
│ 2 devices:
│   0: A100-PCIE-40GB (sm_80, 38.249 GiB / 39.586 GiB available)
└   1: A100-PCIE-40GB (sm_80, 39.583 GiB / 39.586 GiB available)
[ Info: Testing using 1 device(s): 2. A100-PCIE-40GB (UUID 541fcd36-c901-0c21-1712-9456bc3e0548)
                                         |          | ---------------- GPU ---------------- | ---------------- CPU ---------------- |
Test                            (Worker) | Time (s) | GC (s) | GC % | Alloc (MB) | RSS (MB) | GC (s) | GC % | Alloc (MB) | RSS (MB) |
initialization                       (2) |     2.49 |   0.00 |  0.0 |       0.00 |   413.00 |   0.04 |  1.5 |     153.64 |  1457.43 |
apiutils                             (2) |     0.18 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       1.81 |  1457.43 |
array                                (2) |   132.70 |   0.04 |  0.0 |       5.29 |   487.00 |   6.68 |  5.0 |   14060.00 |  1457.43 |
broadcast                            (2) |    42.97 |   0.00 |  0.0 |       0.00 |   465.00 |   1.65 |  3.8 |    3786.76 |  1457.43 |
codegen                              (2) |    12.05 |   0.00 |  0.0 |       0.00 |   659.00 |   0.52 |  4.3 |    1230.63 |  1457.43 |
cublas                               (2) |   112.56 |   0.02 |  0.0 |      14.50 |   753.00 |   6.22 |  5.5 |   14173.74 |  2747.73 |
cufft                                (2) |    25.49 |   0.01 |  0.0 |     151.26 |   631.00 |   1.20 |  4.7 |    2609.79 |  2897.05 |
curand                               (2) |     0.09 |   0.00 |  0.0 |       0.00 |   421.00 |   0.00 |  0.0 |       6.49 |  2897.05 |
cusolver                             (2) |    85.58 |   0.04 |  0.0 |    1294.29 |  1113.00 |   4.32 |  5.0 |   10129.60 |  3967.79 |
cusparse                             (2) |    35.48 |   0.01 |  0.0 |       8.45 |   615.00 |   1.19 |  3.4 |    2632.25 |  4022.89 |
examples                             (2) |   142.28 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      29.09 |  4022.89 |
exceptions                           (2) |    86.58 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      38.95 |  4022.89 |
      From worker 2:	WARNING: Method definition #5848#kernel(Any) in module Main at /home/isensee/.julia/dev/CUDA/test/execution.jl:316 overwritten at /home/isensee/.julia/dev/CUDA/test/execution.jl:324.
execution                            (2) |    88.67 |   0.00 |  0.0 |       1.28 |   697.00 |   4.58 |  5.2 |    8970.64 |  4088.87 |
forwarddiff                          (2) |   111.86 |   0.00 |  0.0 |       0.00 |   469.00 |   3.37 |  3.0 |    7338.76 |  4088.87 |
iterator                             (2) |     2.63 |   0.00 |  0.0 |       1.16 |   415.00 |   0.23 |  8.8 |     375.89 |  4088.87 |
nnlib                                (2) |    17.92 |   0.00 |  0.0 |       0.01 |   803.00 |   0.91 |  5.1 |    1892.80 |  4105.64 |
nvml                                 (2) |     0.39 |   0.00 |  0.0 |       0.00 |   413.00 |   0.06 | 15.6 |      27.80 |  4105.64 |
nvtx                                 (2) |     0.21 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      23.39 |  4105.64 |
pointer                              (2) |     0.26 |   0.00 |  0.1 |       0.00 |   415.00 |   0.00 |  0.0 |      13.50 |  4105.64 |
pool                                 (2) |     3.57 |   0.00 |  0.0 |       0.00 |   413.00 |   1.15 | 32.2 |     561.82 |  4105.64 |
random                               (2) |    14.80 |   0.00 |  0.0 |       0.02 |   465.00 |   0.61 |  4.1 |    1232.32 |  4105.64 |
sorting                              (2) |    77.09 |   0.01 |  0.0 |     259.47 |  6353.00 |   3.95 |  5.1 |    9818.27 |  4294.57 |
statistics                           (2) |    20.42 |   0.00 |  0.0 |       0.00 |   463.00 |   0.81 |  4.0 |    1786.25 |  4294.57 |
texture                              (2) |    70.35 |   0.00 |  0.0 |       0.09 |   473.00 |   3.24 |  4.6 |    7007.08 |  4294.57 |
threading                            (2) |     3.42 |   0.00 |  0.1 |      10.94 |   739.00 |   0.16 |  4.7 |     304.46 |  4622.27 |
utils                                (2) |     0.91 |   0.00 |  0.0 |       0.00 |   475.00 |   0.00 |  0.0 |      88.99 |  4622.43 |
cudadrv/context                      (2) |     0.52 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       6.26 |  4778.20 |
cudadrv/devices                      (2) |     0.38 |   0.00 |  0.0 |       0.00 |   413.00 |   0.09 | 22.7 |      27.96 |  4778.20 |
cudadrv/errors                       (2) |     0.12 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      10.67 |  4778.20 |
cudadrv/events                       (2) |     0.11 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       4.63 |  4778.20 |
cudadrv/execution                    (2) |     0.68 |   0.00 |  0.0 |       0.00 |   415.00 |   0.00 |  0.0 |      49.14 |  4778.20 |
cudadrv/memory                       (2) |     1.43 |   0.00 |  0.0 |       0.00 |   415.00 |   0.08 |  5.5 |      93.57 |  4778.20 |
cudadrv/module                       (2) |     0.29 |   0.00 |  0.0 |       0.00 |   415.00 |   0.00 |  0.0 |      29.88 |  4778.20 |
cudadrv/occupancy                    (2) |     0.12 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       6.46 |  4778.20 |
cudadrv/profile                      (2) |     0.28 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      53.04 |  4778.20 |
cudadrv/stream                       (2) |     0.09 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       5.44 |  4778.20 |
cudadrv/version                      (2) |     0.01 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       0.07 |  4778.20 |
cudnn/activation                     (2) |     1.96 |   0.00 |  0.0 |       0.00 |   677.00 |   0.09 |  4.5 |     173.11 |  4863.32 |
cudnn/convolution                    (2) |    10.31 |   0.00 |  0.0 |       8.07 |  1035.00 |   0.48 |  4.6 |    1065.38 |  6042.48 |
┌ Warning: CUDA.CUDNN.cudnnDropoutSeed[] >= 0: dropout operations will be deterministic but 40x more expensive
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/dropout.jl:40
cudnn/dropout                        (2) |     2.83 |   0.00 |  0.0 |       5.08 |   733.00 |   0.10 |  3.6 |     136.94 |  6101.38 |
cudnn/inplace                        (2) |     1.02 |   0.00 |  0.0 |       0.01 |   681.00 |   0.00 |  0.0 |      53.76 |  6101.38 |
cudnn/multiheadattn                  (2) |    14.92 |   0.00 |  0.0 |       0.14 |   843.00 |   0.64 |  4.3 |    1377.51 |  6101.38 |
┌ Warning: ∇softmax(dy,x) should be deprecated, please use ∇softmax(dy,x,y)
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/nnlib.jl:44
┌ Warning: ∇logsoftmax(dy,x) should be deprecated, please use ∇logsoftmax(dy,x,y)
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/nnlib.jl:54
cudnn/nnlib                          (2) |    99.09 |   0.01 |  0.0 |      29.77 |  1131.00 |   4.75 |  4.8 |   10621.38 |  6766.15 |
cudnn/normalization                  (2) |    19.33 |   0.00 |  0.0 |       0.11 |   801.00 |   0.72 |  3.7 |    1423.72 |  6912.87 |
cudnn/optensor                       (2) |     1.54 |   0.00 |  0.0 |       0.00 |   677.00 |   0.10 |  6.5 |     135.45 |  6912.87 |
cudnn/pooling                        (2) |     5.13 |   0.00 |  0.0 |       0.06 |   677.00 |   0.28 |  5.5 |     532.68 |  6912.87 |
cudnn/reduce                         (2) |     2.65 |   0.00 |  0.0 |       0.02 |   677.00 |   0.11 |  4.0 |     299.10 |  6912.87 |
cudnn/rnn                            (2) |     8.69 |   0.00 |  0.0 |       5.81 |   851.00 |   0.46 |  5.3 |    1010.02 |  6912.87 |
cudnn/softmax                        (2) |     1.67 |   0.00 |  0.0 |       0.01 |   677.00 |   0.09 |  5.5 |     112.22 |  6912.87 |
cudnn/tensor                         (2) |     1.01 |   0.00 |  0.0 |       0.00 |   421.00 |   0.68 | 68.0 |      22.76 |  6912.87 |
cusolver/cusparse                    (2) |     8.47 |   0.00 |  0.0 |       0.19 |   885.00 |   0.23 |  2.7 |     543.51 |  6912.87 |
cusparse/interfaces                  (2) |    17.29 |   0.00 |  0.0 |       0.24 |   551.00 |   0.68 |  3.9 |    1485.97 |  6912.87 |
cutensor/base                        (2) |     0.12 |   0.00 |  0.2 |       1.11 |   415.00 |   0.00 |  0.0 |      11.47 |  6912.87 |
cutensor/contractions                (2) |    47.89 |   0.02 |  0.0 |   32033.95 |   837.00 |   2.95 |  6.2 |    7029.74 |  6912.87 |
cutensor/elementwise_binary          (2) |    21.35 |   0.01 |  0.0 |      54.99 |   573.00 |   0.93 |  4.4 |    2669.10 |  6912.87 |
cutensor/elementwise_trinary         (2) |    27.20 |   0.00 |  0.0 |      24.44 |   533.00 |   1.25 |  4.6 |    3625.92 |  6912.87 |
cutensor/permutations                (2) |     3.57 |   0.00 |  0.1 |      12.22 |   513.00 |   0.15 |  4.1 |     494.71 |  6912.87 |
cutensor/reductions                  (2) |    15.02 |   0.00 |  0.0 |      41.72 |   503.00 |   0.64 |  4.2 |    1571.97 |  6912.87 |
device/array                         (2) |     3.85 |   0.00 |  0.0 |       0.00 |   463.00 |   0.20 |  5.1 |     378.14 |  6912.87 |
device/intrinsics                    (2) |         failed at 2021-02-12T13:39:35.215
device/ldg                           (3) |    26.72 |   0.06 |  0.2 |       0.00 |   463.00 |   0.92 |  3.4 |    2668.76 |  1493.88 |
device/wmma                          (3) |    76.65 |   0.00 |  0.0 |       0.38 |   465.00 |   2.41 |  3.1 |    7923.70 |  1493.88 |
gpuarrays/math                       (3) |     5.38 |   0.00 |  0.0 |       0.00 |   463.00 |   0.28 |  5.3 |     828.95 |  1493.88 |
gpuarrays/indexing scalar            (3) |    15.15 |   0.00 |  0.0 |       0.00 |   463.00 |   0.75 |  4.9 |    1716.44 |  1493.88 |
gpuarrays/input output               (3) |     1.74 |   0.00 |  0.0 |       0.00 |   415.00 |   0.08 |  4.4 |     193.43 |  1493.88 |
gpuarrays/value constructors         (3) |    19.77 |   0.00 |  0.0 |       0.00 |   465.00 |   0.98 |  5.0 |    1999.22 |  1493.88 |
gpuarrays/indexing multidimensional  (3) |    41.44 |   0.00 |  0.0 |       0.69 |   465.00 |   1.92 |  4.6 |    4605.96 |  1493.88 |
gpuarrays/interface                  (3) |     7.26 |   0.00 |  0.0 |       0.00 |   463.00 |   0.35 |  4.8 |     749.15 |  1493.88 |
gpuarrays/iterator constructors      (3) |     3.14 |   0.00 |  0.0 |       0.02 |   463.00 |   0.11 |  3.5 |     258.27 |  1493.88 |
gpuarrays/uniformscaling             (3) |    15.15 |   0.00 |  0.0 |       0.01 |   463.00 |   0.62 |  4.1 |    1411.81 |  1493.88 |
gpuarrays/linear algebra             (3) |   164.27 |   0.01 |  0.0 |       1.24 |   759.00 |   6.55 |  4.0 |   17657.14 |  2358.24 |
gpuarrays/conversions                (3) |     3.09 |   0.00 |  0.0 |       0.01 |   415.00 |   0.17 |  5.7 |     397.65 |  2358.24 |
gpuarrays/constructors               (3) |     1.53 |   0.00 |  0.1 |       0.03 |   415.00 |   0.04 |  2.4 |      99.54 |  2358.24 |
gpuarrays/random                     (3) |    35.20 |   0.00 |  0.0 |       0.03 |   467.00 |   1.35 |  3.8 |    3154.19 |  2358.24 |
gpuarrays/base                       (3) |    35.72 |   0.00 |  0.0 |      17.44 |   497.00 |   2.06 |  5.8 |    4047.80 |  2365.50 |
gpuarrays/mapreduce essentials       (3) |   192.99 |   0.01 |  0.0 |       3.19 |   489.00 |   8.49 |  4.4 |   18717.08 |  2365.50 |
gpuarrays/broadcasting               (3) |   141.36 |   0.00 |  0.0 |       1.19 |   481.00 |   7.24 |  5.1 |   14564.80 |  2413.45 |
gpuarrays/mapreduce derivatives      (3) |   336.98 |   0.01 |  0.0 |       3.06 |   509.00 |  12.48 |  3.7 |   26924.39 |  3406.84 |
Worker 2 failed running test device/intrinsics:
Some tests did not pass: 256 passed, 0 failed, 3 errored, 0 broken.
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:836
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  Stacktrace:
    [1] throw_api_error(res::CUDA.cudaError_enum)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/error.jl:85
    [2] macro expansion
      @ ~/.julia/dev/CUDA/lib/cudadrv/error.jl:92 [inlined]
    [3] cuLinkAddData_v2(state::CuLink, type::CUDA.CUjitInputType_enum, data::Ptr{Int8}, size::Int64, name::String, numOptions::Int64, options::Ptr{Nothing}, optionValues::Ptr{Nothing})
      @ CUDA ~/.julia/dev/CUDA/lib/utils/call.jl:26
    [4] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:74
    [5] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [6] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [7] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:840 [inlined]
    [8] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#kernel#976", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [9] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
   [10] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
   [11] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
   [12] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:849 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:837 [inlined]
   [15] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [16] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [17] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [18] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [19] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [20] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [22] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [23] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [24] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [25] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [26] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [27] eval
      @ ./boot.jl:360 [inlined]
   [28] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [29] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [30] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [31] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [32] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:854
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  Stacktrace:
    [1] throw_api_error(res::CUDA.cudaError_enum)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/error.jl:85
    [2] macro expansion
      @ ~/.julia/dev/CUDA/lib/cudadrv/error.jl:92 [inlined]
    [3] cuLinkAddData_v2(state::CuLink, type::CUDA.CUjitInputType_enum, data::Ptr{Int8}, size::Int64, name::String, numOptions::Int64, options::Ptr{Nothing}, optionValues::Ptr{Nothing})
      @ CUDA ~/.julia/dev/CUDA/lib/utils/call.jl:26
    [4] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:74
    [5] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [6] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [7] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:858 [inlined]
    [8] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9840#kernel#977", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [9] cufunction(f::var"#9840#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
   [10] cufunction(f::var"#9840#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
   [11] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
   [12] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:865 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:855 [inlined]
   [15] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [16] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [17] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [18] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [19] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [20] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [22] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [23] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [24] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [25] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [26] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [27] eval
      @ ./boot.jl:360 [inlined]
   [28] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [29] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [30] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [31] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [32] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:875
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  Stacktrace:
    [1] throw_api_error(res::CUDA.cudaError_enum)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/error.jl:85
    [2] macro expansion
      @ ~/.julia/dev/CUDA/lib/cudadrv/error.jl:92 [inlined]
    [3] cuLinkAddData_v2(state::CuLink, type::CUDA.CUjitInputType_enum, data::Ptr{Int8}, size::Int64, name::String, numOptions::Int64, options::Ptr{Nothing}, optionValues::Ptr{Nothing})
      @ CUDA ~/.julia/dev/CUDA/lib/utils/call.jl:26
    [4] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:74
    [5] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [6] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [7] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:879 [inlined]
    [8] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9842#kernel#978", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [9] cufunction(f::var"#9842#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
   [10] cufunction(f::var"#9842#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
   [11] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
   [12] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:886 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:876 [inlined]
   [15] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [16] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [17] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [18] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [19] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [20] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [22] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [23] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [24] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [25] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [26] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [27] eval
      @ ./boot.jl:360 [inlined]
   [28] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [29] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [30] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [31] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [32] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406

Test Summary:                         |  Pass  Error  Broken  Total
  Overall                             | 13997      3       5  14005
    initialization                    |    34                    34
    apiutils                          |     9                     9
    array                             |   205                   205
    broadcast                         |    29                    29
    codegen                           |    10                    10
    cublas                            |  2239                  2239
    cufft                             |   175                   175
    curand                            |     1                     1
    cusolver                          |  1580                  1580
    cusparse                          |   822                   822
    examples                          |     7                     7
    exceptions                        |    17                    17
    execution                         |    69                    69
    forwarddiff                       |   107                   107
    iterator                          |    30                    30
    nnlib                             |    21                    21
    nvml                              |     7                     7
    nvtx                              |                       No tests
    pointer                           |    35                    35
    pool                              |    10                    10
    random                            |   101                   101
    sorting                           |   123                   123
    statistics                        |    18                    18
    texture                           |    38              4     42
    threading                         |                       No tests
    utils                             |     5                     5
    cudadrv/context                   |    12                    12
    cudadrv/devices                   |     6                     6
    cudadrv/errors                    |     6                     6
    cudadrv/events                    |     4                     4
    cudadrv/execution                 |    15                    15
    cudadrv/memory                    |    48              1     49
    cudadrv/module                    |    12                    12
    cudadrv/occupancy                 |     1                     1
    cudadrv/profile                   |     2                     2
    cudadrv/stream                    |     7                     7
    cudadrv/version                   |     3                     3
    cudnn/activation                  |    13                    13
    cudnn/convolution                 |    29                    29
    cudnn/dropout                     |     7                     7
    cudnn/inplace                     |    12                    12
    cudnn/multiheadattn               |    23                    23
    cudnn/nnlib                       |   233                   233
    cudnn/normalization               |    16                    16
    cudnn/optensor                    |    13                    13
    cudnn/pooling                     |    12                    12
    cudnn/reduce                      |    15                    15
    cudnn/rnn                         |    28                    28
    cudnn/softmax                     |     8                     8
    cudnn/tensor                      |    10                    10
    cusolver/cusparse                 |    84                    84
    cusparse/interfaces               |    84                    84
    cutensor/base                     |     8                     8
    cutensor/contractions             |  3321                  3321
    cutensor/elementwise_binary       |   260                   260
    cutensor/elementwise_trinary      |   340                   340
    cutensor/permutations             |    80                    80
    cutensor/reductions               |   280                   280
    device/array                      |    18                    18
    device/intrinsics                 |   256      3            259
    device/ldg                        |    22                    22
    device/wmma                       |   210                   210
    gpuarrays/math                    |     8                     8
    gpuarrays/indexing scalar         |   249                   249
    gpuarrays/input output            |     5                     5
    gpuarrays/value constructors      |    36                    36
    gpuarrays/indexing multidimensional |    34                    34
    gpuarrays/interface               |     7                     7
    gpuarrays/iterator constructors   |    24                    24
    gpuarrays/uniformscaling          |    56                    56
    gpuarrays/linear algebra          |   389                   389
    gpuarrays/conversions             |    72                    72
    gpuarrays/constructors            |   335                   335
    gpuarrays/random                  |    46                    46
    gpuarrays/base                    |    42                    42
    gpuarrays/mapreduce essentials    |   522                   522
    gpuarrays/broadcasting            |   155                   155
    gpuarrays/mapreduce derivatives   |   827                   827
    FAILURE

Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:836
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  Stacktrace:
    [1] throw_api_error(res::CUDA.cudaError_enum)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/error.jl:85
    [2] macro expansion
      @ ~/.julia/dev/CUDA/lib/cudadrv/error.jl:92 [inlined]
    [3] cuLinkAddData_v2(state::CuLink, type::CUDA.CUjitInputType_enum, data::Ptr{Int8}, size::Int64, name::String, numOptions::Int64, options::Ptr{Nothing}, optionValues::Ptr{Nothing})
      @ CUDA ~/.julia/dev/CUDA/lib/utils/call.jl:26
    [4] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:74
    [5] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [6] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [7] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:840 [inlined]
    [8] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#kernel#976", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [9] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
   [10] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
   [11] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
   [12] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:849 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:837 [inlined]
   [15] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [16] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [17] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [18] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [19] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [20] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [22] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [23] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [24] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [25] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [26] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [27] eval
      @ ./boot.jl:360 [inlined]
   [28] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [29] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [30] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [31] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [32] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:854
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  Stacktrace:
    [1] throw_api_error(res::CUDA.cudaError_enum)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/error.jl:85
    [2] macro expansion
      @ ~/.julia/dev/CUDA/lib/cudadrv/error.jl:92 [inlined]
    [3] cuLinkAddData_v2(state::CuLink, type::CUDA.CUjitInputType_enum, data::Ptr{Int8}, size::Int64, name::String, numOptions::Int64, options::Ptr{Nothing}, optionValues::Ptr{Nothing})
      @ CUDA ~/.julia/dev/CUDA/lib/utils/call.jl:26
    [4] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:74
    [5] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [6] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [7] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:858 [inlined]
    [8] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9840#kernel#977", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [9] cufunction(f::var"#9840#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
   [10] cufunction(f::var"#9840#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
   [11] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
   [12] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:865 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:855 [inlined]
   [15] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [16] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [17] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [18] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [19] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [20] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [22] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [23] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [24] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [25] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [26] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [27] eval
      @ ./boot.jl:360 [inlined]
   [28] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [29] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [30] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [31] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [32] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:875
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  Stacktrace:
    [1] throw_api_error(res::CUDA.cudaError_enum)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/error.jl:85
    [2] macro expansion
      @ ~/.julia/dev/CUDA/lib/cudadrv/error.jl:92 [inlined]
    [3] cuLinkAddData_v2(state::CuLink, type::CUDA.CUjitInputType_enum, data::Ptr{Int8}, size::Int64, name::String, numOptions::Int64, options::Ptr{Nothing}, optionValues::Ptr{Nothing})
      @ CUDA ~/.julia/dev/CUDA/lib/utils/call.jl:26
    [4] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:74
    [5] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [6] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [7] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:879 [inlined]
    [8] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9842#kernel#978", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [9] cufunction(f::var"#9842#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
   [10] cufunction(f::var"#9842#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
   [11] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
   [12] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:886 [inlined]
   [13] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [14] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:876 [inlined]
   [15] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [16] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [17] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [18] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [19] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [20] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [22] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [23] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [24] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [25] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [26] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [27] eval
      @ ./boot.jl:360 [inlined]
   [28] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [29] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [30] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [31] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [32] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
ERROR: LoadError: Test run finished with errors
in expression starting at /home/isensee/.julia/dev/CUDA/test/runtests.jl:487
ERROR: Package CUDA errored during testing

(@v1.6) pkg>

Best,
Jonas

The text was updated successfully, but these errors were encountered:

maleadt · 2021-02-12T13:48:05Z

Looks like we aren't properly reporting linker errors. Could you re-run with #712, it should be easier to diagnose then.

JonasIsensee · 2021-02-12T15:54:41Z

Here's the tests using your PR


(@v1.6) pkg> test CUDA
     Testing CUDA
      Status `/tmp/jl_O1CZbv/Project.toml`
  [79e6a3ab] Adapt v3.2.0
  [ab4f0b2a] BFloat16s v0.1.0
  [052768ef] CUDA v2.6.0 `~/.julia/dev/CUDA`
  [864edb3b] DataStructures v0.18.9
  [7a1cc6ca] FFTW v1.3.2
  [1a297f60] FillArrays v0.11.2
  [f6369f11] ForwardDiff v0.10.16
  [0c68f7d7] GPUArrays v6.2.0
  [a98d9a8b] Interpolations v0.13.1
  [872c559c] NNlib v0.7.14
  [ade2ca70] Dates `@stdlib/Dates`
  [8ba89e20] Distributed `@stdlib/Distributed`
  [37e2e46d] LinearAlgebra `@stdlib/LinearAlgebra`
  [de0858da] Printf `@stdlib/Printf`
  [3fa0cd96] REPL `@stdlib/REPL`
  [9a3f8284] Random `@stdlib/Random`
  [2f01184e] SparseArrays `@stdlib/SparseArrays`
  [10745b16] Statistics `@stdlib/Statistics`
  [8dfed614] Test `@stdlib/Test`
      Status `/tmp/jl_O1CZbv/Manifest.toml`
  [621f4979] AbstractFFTs v1.0.0
  [79e6a3ab] Adapt v3.2.0
  [13072b0f] AxisAlgorithms v1.0.0
  [ab4f0b2a] BFloat16s v0.1.0
  [fa961155] CEnum v0.4.1
  [052768ef] CUDA v2.6.0 `~/.julia/dev/CUDA`
  [d360d2e6] ChainRulesCore v0.9.28
  [bbf7d656] CommonSubexpressions v0.3.0
  [34da2185] Compat v3.25.0
  [864edb3b] DataStructures v0.18.9
  [163ba53b] DiffResults v1.0.3
  [b552c78f] DiffRules v1.0.2
  [e2ba6199] ExprTools v0.1.3
  [7a1cc6ca] FFTW v1.3.2
  [1a297f60] FillArrays v0.11.2
  [f6369f11] ForwardDiff v0.10.16
  [0c68f7d7] GPUArrays v6.2.0
  [61eb1bfa] GPUCompiler v0.10.0
  [a98d9a8b] Interpolations v0.13.1
  [692b3bcd] JLLWrappers v1.2.0
  [929cbde3] LLVM v3.6.0
  [1914dd2f] MacroTools v0.5.6
  [c03570c3] Memoize v0.4.4
  [872c559c] NNlib v0.7.14
  [77ba4419] NaNMath v0.3.5
  [6fe1bfb0] OffsetArrays v1.5.3
  [bac558e1] OrderedCollections v1.3.3
  [c84ed2f1] Ratios v0.4.0
  [189a3867] Reexport v1.0.0
  [ae029012] Requires v1.1.2
  [6c6a2e73] Scratch v1.0.3
  [276daf66] SpecialFunctions v1.2.1
  [90137ffa] StaticArrays v1.0.1
  [a759f4b9] TimerOutputs v0.5.7
  [efce3f68] WoodburyMatrices v0.5.3
  [f5851436] FFTW_jll v3.3.9+7
  [1d5cc7b8] IntelOpenMP_jll v2018.0.3+2
  [856f044c] MKL_jll v2021.1.1+1
  [efe28fd5] OpenSpecFun_jll v0.5.3+4
  [0dad84c5] ArgTools `@stdlib/ArgTools`
  [56f22d72] Artifacts `@stdlib/Artifacts`
  [2a0f44e3] Base64 `@stdlib/Base64`
  [ade2ca70] Dates `@stdlib/Dates`
  [8bb1440f] DelimitedFiles `@stdlib/DelimitedFiles`
  [8ba89e20] Distributed `@stdlib/Distributed`
  [f43a241f] Downloads `@stdlib/Downloads`
  [b77e0a4c] InteractiveUtils `@stdlib/InteractiveUtils`
  [4af54fe1] LazyArtifacts `@stdlib/LazyArtifacts`
  [b27032c2] LibCURL `@stdlib/LibCURL`
  [76f85450] LibGit2 `@stdlib/LibGit2`
  [8f399da3] Libdl `@stdlib/Libdl`
  [37e2e46d] LinearAlgebra `@stdlib/LinearAlgebra`
  [56ddb016] Logging `@stdlib/Logging`
  [d6f4376e] Markdown `@stdlib/Markdown`
  [a63ad114] Mmap `@stdlib/Mmap`
  [ca575930] NetworkOptions `@stdlib/NetworkOptions`
  [44cfe95a] Pkg `@stdlib/Pkg`
  [de0858da] Printf `@stdlib/Printf`
  [3fa0cd96] REPL `@stdlib/REPL`
  [9a3f8284] Random `@stdlib/Random`
  [ea8e919c] SHA `@stdlib/SHA`
  [9e88b42a] Serialization `@stdlib/Serialization`
  [1a1011a3] SharedArrays `@stdlib/SharedArrays`
  [6462fe0b] Sockets `@stdlib/Sockets`
  [2f01184e] SparseArrays `@stdlib/SparseArrays`
  [10745b16] Statistics `@stdlib/Statistics`
  [fa267f1f] TOML `@stdlib/TOML`
  [a4e569a6] Tar `@stdlib/Tar`
  [8dfed614] Test `@stdlib/Test`
  [cf7118a7] UUIDs `@stdlib/UUIDs`
  [4ec0a83e] Unicode `@stdlib/Unicode`
  [e66e0078] CompilerSupportLibraries_jll `@stdlib/CompilerSupportLibraries_jll`
  [deac9b47] LibCURL_jll `@stdlib/LibCURL_jll`
  [29816b5a] LibSSH2_jll `@stdlib/LibSSH2_jll`
  [c8ffd9c3] MbedTLS_jll `@stdlib/MbedTLS_jll`
  [14a3606d] MozillaCACerts_jll `@stdlib/MozillaCACerts_jll`
  [83775a58] Zlib_jll `@stdlib/Zlib_jll`
  [8e850ede] nghttp2_jll `@stdlib/nghttp2_jll`
     Testing Running tests...
┌ Info: System information:
│ CUDA toolkit 11.2.0, artifact installation
│ CUDA driver 11.2.0
│ NVIDIA driver 460.32.3
│ 
│ Libraries: 
│ - CUBLAS: 11.3.1
│ - CURAND: 10.2.3
│ - CUFFT: 10.4.0
│ - CUSOLVER: 11.0.2
│ - CUSPARSE: 11.3.1
│ - CUPTI: 14.0.0
│ - NVML: 11.0.0+460.32.3
│ - CUDNN: 8.10.0 (for CUDA 11.2.0)
│ - CUTENSOR: 1.2.2 (for CUDA 11.1.0)
│ 
│ Toolchain:
│ - Julia: 1.6.0-rc1
│ - LLVM: 11.0.1
│ - PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0
│ - Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80
│ 
│ 2 devices:
│   0: A100-PCIE-40GB (sm_80, 38.916 GiB / 39.586 GiB available)
└   1: A100-PCIE-40GB (sm_80, 39.583 GiB / 39.586 GiB available)
[ Info: Testing using 1 device(s): 2. A100-PCIE-40GB (UUID 541fcd36-c901-0c21-1712-9456bc3e0548)
                                         |          | ---------------- GPU ---------------- | ---------------- CPU ---------------- |
Test                            (Worker) | Time (s) | GC (s) | GC % | Alloc (MB) | RSS (MB) | GC (s) | GC % | Alloc (MB) | RSS (MB) |
initialization                       (2) |     2.70 |   0.00 |  0.0 |       0.00 |   413.00 |   0.01 |  0.5 |     153.64 |  1463.37 |
apiutils                             (2) |     0.18 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       1.81 |  1463.37 |
array                                (2) |   129.38 |   0.04 |  0.0 |       5.29 |   487.00 |   6.30 |  4.9 |   14064.29 |  1463.37 |
broadcast                            (2) |    46.46 |   0.00 |  0.0 |       0.00 |   465.00 |   2.04 |  4.4 |    3797.22 |  1463.37 |
codegen                              (2) |    11.88 |   0.18 |  1.5 |       0.00 |   659.00 |   0.51 |  4.3 |    1229.78 |  1463.37 |
cublas                               (2) |   112.84 |   0.02 |  0.0 |      14.50 |   751.00 |   6.31 |  5.6 |   14164.54 |  2846.77 |
cufft                                (2) |    26.43 |   0.01 |  0.0 |     151.26 |   629.00 |   1.20 |  4.5 |    2607.97 |  2882.43 |
curand                               (2) |     0.10 |   0.00 |  0.0 |       0.00 |   421.00 |   0.00 |  0.0 |       6.49 |  2882.43 |
cusolver                             (2) |    90.69 |   0.05 |  0.0 |    1294.29 |  1113.00 |   4.55 |  5.0 |   10129.40 |  3939.22 |
cusparse                             (2) |    35.18 |   0.01 |  0.0 |       8.45 |   613.00 |   1.13 |  3.2 |    2636.79 |  4019.42 |
examples                             (2) |   136.37 |   0.00 |  0.0 |       0.00 |   413.00 |   0.05 |  0.0 |      29.10 |  4019.42 |
exceptions                           (2) |    83.53 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      38.95 |  4019.42 |
      From worker 2:	WARNING: Method definition #5848#kernel(Any) in module Main at /home/isensee/.julia/dev/CUDA/test/execution.jl:316 overwritten at /home/isensee/.julia/dev/CUDA/test/execution.jl:324.
execution                            (2) |    88.57 |   0.00 |  0.0 |       1.28 |   697.00 |   4.11 |  4.6 |    8966.23 |  4070.70 |
forwarddiff                          (2) |   111.68 |   0.00 |  0.0 |       0.00 |   469.00 |   3.25 |  2.9 |    7353.32 |  4186.96 |
iterator                             (2) |     2.64 |   0.06 |  2.1 |       1.16 |   415.00 |   0.18 |  6.9 |     376.05 |  4186.96 |
nnlib                                (2) |    15.75 |   0.00 |  0.0 |       0.01 |   803.00 |   1.46 |  9.3 |    1895.57 |  4186.96 |
nvml                                 (2) |     0.56 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      27.82 |  4186.96 |
nvtx                                 (2) |     0.27 |   0.00 |  0.0 |       0.00 |   413.00 |   0.06 | 22.7 |      23.39 |  4186.96 |
pointer                              (2) |     0.26 |   0.00 |  0.1 |       0.00 |   415.00 |   0.00 |  0.0 |      13.50 |  4186.96 |
pool                                 (2) |     3.47 |   0.00 |  0.0 |       0.00 |   413.00 |   1.05 | 30.4 |     561.95 |  4186.96 |
random                               (2) |    13.25 |   0.00 |  0.0 |       0.02 |   465.00 |   0.60 |  4.6 |    1232.57 |  4186.96 |
sorting                              (2) |    76.24 |   0.26 |  0.3 |     259.47 |  6353.00 |   3.87 |  5.1 |    9818.30 |  4230.59 |
statistics                           (2) |    19.32 |   0.00 |  0.0 |       0.00 |   463.00 |   0.81 |  4.2 |    1786.35 |  4238.26 |
texture                              (2) |    71.72 |   0.00 |  0.0 |       0.09 |   473.00 |   3.31 |  4.6 |    7006.52 |  4269.76 |
threading                            (2) |     3.58 |   0.00 |  0.1 |      10.94 |   741.00 |   0.10 |  2.8 |     304.19 |  4620.46 |
utils                                (2) |     0.91 |   0.00 |  0.0 |       0.00 |   475.00 |   0.00 |  0.0 |      89.00 |  4620.46 |
cudadrv/context                      (2) |     0.76 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       6.26 |  4787.21 |
cudadrv/devices                      (2) |     0.29 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      27.71 |  4787.21 |
cudadrv/errors                       (2) |     0.12 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      10.61 |  4787.21 |
cudadrv/events                       (2) |     0.11 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       4.63 |  4787.21 |
cudadrv/execution                    (2) |     0.68 |   0.00 |  0.0 |       0.00 |   415.00 |   0.00 |  0.0 |      49.14 |  4787.21 |
cudadrv/memory                       (2) |     1.67 |   0.00 |  0.0 |       0.00 |   415.00 |   0.09 |  5.6 |      93.55 |  4787.21 |
cudadrv/module                       (2) |     0.42 |   0.00 |  0.0 |       0.00 |   415.00 |   0.00 |  0.0 |      32.54 |  4787.21 |
cudadrv/occupancy                    (2) |     0.12 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       6.46 |  4787.21 |
cudadrv/profile                      (2) |     0.28 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      53.03 |  4787.21 |
cudadrv/stream                       (2) |     0.09 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       5.44 |  4787.21 |
cudadrv/version                      (2) |     0.01 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       0.07 |  4787.21 |
cudnn/activation                     (2) |     1.97 |   0.00 |  0.0 |       0.00 |   677.00 |   0.08 |  4.2 |     171.77 |  4854.97 |
cudnn/convolution                    (2) |    10.95 |   0.00 |  0.0 |       8.07 |  1035.00 |   0.57 |  5.2 |    1090.44 |  6031.16 |
┌ Warning: CUDA.CUDNN.cudnnDropoutSeed[] >= 0: dropout operations will be deterministic but 40x more expensive
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/dropout.jl:40
cudnn/dropout                        (2) |     3.36 |   0.00 |  0.0 |       5.08 |   733.00 |   0.00 |  0.0 |     135.44 |  6031.55 |
cudnn/inplace                        (2) |     1.02 |   0.00 |  0.0 |       0.01 |   681.00 |   0.00 |  0.0 |      54.01 |  6031.55 |
cudnn/multiheadattn                  (2) |    14.14 |   0.00 |  0.0 |       0.14 |   843.00 |   0.47 |  3.3 |    1393.50 |  6244.75 |
┌ Warning: ∇softmax(dy,x) should be deprecated, please use ∇softmax(dy,x,y)
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/nnlib.jl:44
┌ Warning: ∇logsoftmax(dy,x) should be deprecated, please use ∇logsoftmax(dy,x,y)
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/nnlib.jl:54
cudnn/nnlib                          (2) |    97.53 |   0.01 |  0.0 |      29.77 |  1131.00 |   4.47 |  4.6 |   10618.42 |  6794.52 |
cudnn/normalization                  (2) |    17.69 |   0.00 |  0.0 |       0.11 |   801.00 |   0.83 |  4.7 |    1467.71 |  6797.00 |
cudnn/optensor                       (2) |     1.69 |   0.00 |  0.0 |       0.00 |   677.00 |   0.00 |  0.0 |     133.05 |  6797.00 |
cudnn/pooling                        (2) |     5.12 |   0.00 |  0.0 |       0.06 |   677.00 |   0.28 |  5.5 |     534.97 |  6798.84 |
cudnn/reduce                         (2) |     2.98 |   0.00 |  0.0 |       0.02 |   677.00 |   0.10 |  3.2 |     302.84 |  6798.84 |
cudnn/rnn                            (2) |     7.70 |   0.00 |  0.0 |       5.81 |   851.00 |   0.32 |  4.2 |    1022.93 |  7117.21 |
cudnn/softmax                        (2) |     1.36 |   0.00 |  0.0 |       0.01 |   677.00 |   0.00 |  0.0 |      78.74 |  7117.21 |
cudnn/tensor                         (2) |     1.02 |   0.00 |  0.0 |       0.00 |   421.00 |   0.69 | 68.4 |      22.74 |  7117.21 |
cusolver/cusparse                    (2) |     8.47 |   0.00 |  0.0 |       0.19 |   885.00 |   0.21 |  2.5 |     543.53 |  7117.21 |
cusparse/interfaces                  (2) |    17.28 |   0.00 |  0.0 |       0.24 |   551.00 |   0.53 |  3.1 |    1567.40 |  7117.21 |
cutensor/base                        (2) |     0.13 |   0.00 |  0.2 |       1.11 |   415.00 |   0.00 |  0.0 |      11.46 |  7117.21 |
cutensor/contractions                (2) |    50.99 |   0.02 |  0.0 |   32033.95 |   833.00 |   2.72 |  5.3 |    7037.06 |  7117.21 |
cutensor/elementwise_binary          (2) |    22.44 |   0.25 |  1.1 |      54.99 |   575.00 |   1.03 |  4.6 |    2669.21 |  7117.21 |
cutensor/elementwise_trinary         (2) |    29.81 |   0.00 |  0.0 |      24.44 |   533.00 |   1.37 |  4.6 |    3626.17 |  7117.21 |
cutensor/permutations                (2) |     3.93 |   0.00 |  0.1 |      12.22 |   513.00 |   0.16 |  4.1 |     494.74 |  7117.21 |
cutensor/reductions                  (2) |    16.33 |   0.20 |  1.2 |      41.72 |   503.00 |   0.75 |  4.6 |    1572.13 |  7117.21 |
device/array                         (2) |     4.91 |   0.00 |  0.0 |       0.00 |   463.00 |   0.22 |  4.4 |     378.11 |  7117.21 |
device/intrinsics                    (2) |         failed at 2021-02-12T16:33:01.583
device/ldg                           (3) |    26.58 |   0.21 |  0.8 |       0.00 |   463.00 |   0.94 |  3.5 |    2672.46 |  1491.97 |
device/wmma                          (3) |    79.63 |   0.01 |  0.0 |       0.38 |   465.00 |   2.40 |  3.0 |    7926.10 |  1491.97 |
gpuarrays/math                       (3) |     5.48 |   0.00 |  0.0 |       0.00 |   463.00 |   0.28 |  5.1 |     829.05 |  1491.97 |
gpuarrays/indexing scalar            (3) |    15.54 |   0.00 |  0.0 |       0.00 |   463.00 |   0.69 |  4.5 |    1716.66 |  1491.97 |
gpuarrays/input output               (3) |     1.79 |   0.00 |  0.0 |       0.00 |   415.00 |   0.10 |  5.5 |     193.43 |  1491.97 |
gpuarrays/value constructors         (3) |    18.84 |   0.00 |  0.0 |       0.00 |   465.00 |   1.09 |  5.8 |    1999.30 |  1491.97 |
gpuarrays/indexing multidimensional  (3) |    41.48 |   0.00 |  0.0 |       0.69 |   465.00 |   1.88 |  4.5 |    4605.83 |  1491.97 |
gpuarrays/interface                  (3) |     8.05 |   0.00 |  0.0 |       0.00 |   463.00 |   0.34 |  4.2 |     748.56 |  1491.97 |
gpuarrays/iterator constructors      (3) |     4.32 |   0.00 |  0.0 |       0.02 |   463.00 |   0.12 |  2.8 |     258.49 |  1491.97 |
gpuarrays/uniformscaling             (3) |    15.82 |   0.00 |  0.0 |       0.01 |   463.00 |   0.92 |  5.8 |    1419.39 |  1491.97 |
gpuarrays/linear algebra             (3) |   164.67 |   0.01 |  0.0 |       1.24 |   759.00 |   6.63 |  4.0 |   18772.27 |  2341.61 |
gpuarrays/conversions                (3) |     3.04 |   0.00 |  0.0 |       0.01 |   415.00 |   0.14 |  4.6 |     397.63 |  2345.10 |
gpuarrays/constructors               (3) |     1.55 |   0.00 |  0.1 |       0.03 |   415.00 |   0.08 |  5.1 |      99.55 |  2380.36 |
gpuarrays/random                     (3) |    34.43 |   0.00 |  0.0 |       0.03 |   467.00 |   1.31 |  3.8 |    3154.05 |  2380.36 |
gpuarrays/base                       (3) |    33.56 |   0.05 |  0.1 |      17.44 |   497.00 |   2.28 |  6.8 |    4060.77 |  2380.36 |
gpuarrays/mapreduce essentials       (3) |   194.08 |   0.01 |  0.0 |       3.19 |   489.00 |   7.62 |  3.9 |   18715.84 |  2380.36 |
gpuarrays/broadcasting               (3) |   141.12 |   0.00 |  0.0 |       1.19 |   481.00 |   6.98 |  4.9 |   14563.45 |  2454.40 |
gpuarrays/mapreduce derivatives      (3) |   335.14 |   0.01 |  0.0 |       3.06 |   509.00 |  11.75 |  3.5 |   26923.24 |  3560.47 |
Worker 2 failed running test device/intrinsics:
Some tests did not pass: 256 passed, 0 failed, 3 errored, 0 broken.
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:836
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 49; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:840 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#kernel#976", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:849 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:837 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:854
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:858 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9786#kernel#977", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:865 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:855 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:875
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:879 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9788#kernel#978", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:886 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:876 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406

Test Summary:                         |  Pass  Error  Broken  Total
  Overall                             | 14340      3       5  14348
    initialization                    |    34                    34
    apiutils                          |     9                     9
    array                             |   205                   205
    broadcast                         |    29                    29
    codegen                           |    10                    10
    cublas                            |  2239                  2239
    cufft                             |   175                   175
    curand                            |     1                     1
    cusolver                          |  1580                  1580
    cusparse                          |   822                   822
    examples                          |     7                     7
    exceptions                        |    17                    17
    execution                         |    69                    69
    forwarddiff                       |   107                   107
    iterator                          |    30                    30
    nnlib                             |    21                    21
    nvml                              |     7                     7
    nvtx                              |                       No tests
    pointer                           |    35                    35
    pool                              |    10                    10
    random                            |   101                   101
    sorting                           |   123                   123
    statistics                        |    18                    18
    texture                           |    38              4     42
    threading                         |                       No tests
    utils                             |     5                     5
    cudadrv/context                   |    12                    12
    cudadrv/devices                   |     6                     6
    cudadrv/errors                    |     6                     6
    cudadrv/events                    |     4                     4
    cudadrv/execution                 |    15                    15
    cudadrv/memory                    |    48              1     49
    cudadrv/module                    |    16                    16
    cudadrv/occupancy                 |     1                     1
    cudadrv/profile                   |     2                     2
    cudadrv/stream                    |     7                     7
    cudadrv/version                   |     3                     3
    cudnn/activation                  |    43                    43
    cudnn/convolution                 |   110                   110
    cudnn/dropout                     |     7                     7
    cudnn/inplace                     |    12                    12
    cudnn/multiheadattn               |    69                    69
    cudnn/nnlib                       |   233                   233
    cudnn/normalization               |    32                    32
    cudnn/optensor                    |    43                    43
    cudnn/pooling                     |    48                    48
    cudnn/reduce                      |    51                    51
    cudnn/rnn                         |    84                    84
    cudnn/softmax                     |    16                    16
    cudnn/tensor                      |    10                    10
    cusolver/cusparse                 |    84                    84
    cusparse/interfaces               |    84                    84
    cutensor/base                     |     8                     8
    cutensor/contractions             |  3321                  3321
    cutensor/elementwise_binary       |   260                   260
    cutensor/elementwise_trinary      |   340                   340
    cutensor/permutations             |    80                    80
    cutensor/reductions               |   280                   280
    device/array                      |    18                    18
    device/intrinsics                 |   256      3            259
    device/ldg                        |    22                    22
    device/wmma                       |   210                   210
    gpuarrays/math                    |     8                     8
    gpuarrays/indexing scalar         |   249                   249
    gpuarrays/input output            |     5                     5
    gpuarrays/value constructors      |    36                    36
    gpuarrays/indexing multidimensional |    34                    34
    gpuarrays/interface               |     7                     7
    gpuarrays/iterator constructors   |    24                    24
    gpuarrays/uniformscaling          |    56                    56
    gpuarrays/linear algebra          |   389                   389
    gpuarrays/conversions             |    72                    72
    gpuarrays/constructors            |   335                   335
    gpuarrays/random                  |    46                    46
    gpuarrays/base                    |    42                    42
    gpuarrays/mapreduce essentials    |   522                   522
    gpuarrays/broadcasting            |   155                   155
    gpuarrays/mapreduce derivatives   |   827                   827
    FAILURE

Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:836
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 49; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:840 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#kernel#976", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:849 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:837 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:854
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:858 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9786#kernel#977", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:865 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:855 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:875
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:879 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9788#kernel#978", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:886 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:876 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
ERROR: LoadError: Test run finished with errors
in expression starting at /home/isensee/.julia/dev/CUDA/test/runtests.jl:487
ERROR: Package CUDA errored during testing
(@v1.6) pkg> test CUDA
     Testing CUDA
      Status `/tmp/jl_O1CZbv/Project.toml`
  [79e6a3ab] Adapt v3.2.0
  [ab4f0b2a] BFloat16s v0.1.0
  [052768ef] CUDA v2.6.0 `~/.julia/dev/CUDA`
  [864edb3b] DataStructures v0.18.9
  [7a1cc6ca] FFTW v1.3.2
  [1a297f60] FillArrays v0.11.2
  [f6369f11] ForwardDiff v0.10.16
  [0c68f7d7] GPUArrays v6.2.0
  [a98d9a8b] Interpolations v0.13.1
  [872c559c] NNlib v0.7.14
  [ade2ca70] Dates `@stdlib/Dates`
  [8ba89e20] Distributed `@stdlib/Distributed`
  [37e2e46d] LinearAlgebra `@stdlib/LinearAlgebra`
  [de0858da] Printf `@stdlib/Printf`
  [3fa0cd96] REPL `@stdlib/REPL`
  [9a3f8284] Random `@stdlib/Random`
  [2f01184e] SparseArrays `@stdlib/SparseArrays`
  [10745b16] Statistics `@stdlib/Statistics`
  [8dfed614] Test `@stdlib/Test`
      Status `/tmp/jl_O1CZbv/Manifest.toml`
  [621f4979] AbstractFFTs v1.0.0
  [79e6a3ab] Adapt v3.2.0
  [13072b0f] AxisAlgorithms v1.0.0
  [ab4f0b2a] BFloat16s v0.1.0
  [fa961155] CEnum v0.4.1
  [052768ef] CUDA v2.6.0 `~/.julia/dev/CUDA`
  [d360d2e6] ChainRulesCore v0.9.28
  [bbf7d656] CommonSubexpressions v0.3.0
  [34da2185] Compat v3.25.0
  [864edb3b] DataStructures v0.18.9
  [163ba53b] DiffResults v1.0.3
  [b552c78f] DiffRules v1.0.2
  [e2ba6199] ExprTools v0.1.3
  [7a1cc6ca] FFTW v1.3.2
  [1a297f60] FillArrays v0.11.2
  [f6369f11] ForwardDiff v0.10.16
  [0c68f7d7] GPUArrays v6.2.0
  [61eb1bfa] GPUCompiler v0.10.0
  [a98d9a8b] Interpolations v0.13.1
  [692b3bcd] JLLWrappers v1.2.0
  [929cbde3] LLVM v3.6.0
  [1914dd2f] MacroTools v0.5.6
  [c03570c3] Memoize v0.4.4
  [872c559c] NNlib v0.7.14
  [77ba4419] NaNMath v0.3.5
  [6fe1bfb0] OffsetArrays v1.5.3
  [bac558e1] OrderedCollections v1.3.3
  [c84ed2f1] Ratios v0.4.0
  [189a3867] Reexport v1.0.0
  [ae029012] Requires v1.1.2
  [6c6a2e73] Scratch v1.0.3
  [276daf66] SpecialFunctions v1.2.1
  [90137ffa] StaticArrays v1.0.1
  [a759f4b9] TimerOutputs v0.5.7
  [efce3f68] WoodburyMatrices v0.5.3
  [f5851436] FFTW_jll v3.3.9+7
  [1d5cc7b8] IntelOpenMP_jll v2018.0.3+2
  [856f044c] MKL_jll v2021.1.1+1
  [efe28fd5] OpenSpecFun_jll v0.5.3+4
  [0dad84c5] ArgTools `@stdlib/ArgTools`
  [56f22d72] Artifacts `@stdlib/Artifacts`
  [2a0f44e3] Base64 `@stdlib/Base64`
  [ade2ca70] Dates `@stdlib/Dates`
  [8bb1440f] DelimitedFiles `@stdlib/DelimitedFiles`
  [8ba89e20] Distributed `@stdlib/Distributed`
  [f43a241f] Downloads `@stdlib/Downloads`
  [b77e0a4c] InteractiveUtils `@stdlib/InteractiveUtils`
  [4af54fe1] LazyArtifacts `@stdlib/LazyArtifacts`
  [b27032c2] LibCURL `@stdlib/LibCURL`
  [76f85450] LibGit2 `@stdlib/LibGit2`
  [8f399da3] Libdl `@stdlib/Libdl`
  [37e2e46d] LinearAlgebra `@stdlib/LinearAlgebra`
  [56ddb016] Logging `@stdlib/Logging`
  [d6f4376e] Markdown `@stdlib/Markdown`
  [a63ad114] Mmap `@stdlib/Mmap`
  [ca575930] NetworkOptions `@stdlib/NetworkOptions`
  [44cfe95a] Pkg `@stdlib/Pkg`
  [de0858da] Printf `@stdlib/Printf`
  [3fa0cd96] REPL `@stdlib/REPL`
  [9a3f8284] Random `@stdlib/Random`
  [ea8e919c] SHA `@stdlib/SHA`
  [9e88b42a] Serialization `@stdlib/Serialization`
  [1a1011a3] SharedArrays `@stdlib/SharedArrays`
  [6462fe0b] Sockets `@stdlib/Sockets`
  [2f01184e] SparseArrays `@stdlib/SparseArrays`
  [10745b16] Statistics `@stdlib/Statistics`
  [fa267f1f] TOML `@stdlib/TOML`
  [a4e569a6] Tar `@stdlib/Tar`
  [8dfed614] Test `@stdlib/Test`
  [cf7118a7] UUIDs `@stdlib/UUIDs`
  [4ec0a83e] Unicode `@stdlib/Unicode`
  [e66e0078] CompilerSupportLibraries_jll `@stdlib/CompilerSupportLibraries_jll`
  [deac9b47] LibCURL_jll `@stdlib/LibCURL_jll`
  [29816b5a] LibSSH2_jll `@stdlib/LibSSH2_jll`
  [c8ffd9c3] MbedTLS_jll `@stdlib/MbedTLS_jll`
  [14a3606d] MozillaCACerts_jll `@stdlib/MozillaCACerts_jll`
  [83775a58] Zlib_jll `@stdlib/Zlib_jll`
  [8e850ede] nghttp2_jll `@stdlib/nghttp2_jll`
     Testing Running tests...
┌ Info: System information:
│ CUDA toolkit 11.2.0, artifact installation
│ CUDA driver 11.2.0
│ NVIDIA driver 460.32.3
│ 
│ Libraries: 
│ - CUBLAS: 11.3.1
│ - CURAND: 10.2.3
│ - CUFFT: 10.4.0
│ - CUSOLVER: 11.0.2
│ - CUSPARSE: 11.3.1
│ - CUPTI: 14.0.0
│ - NVML: 11.0.0+460.32.3
│ - CUDNN: 8.10.0 (for CUDA 11.2.0)
│ - CUTENSOR: 1.2.2 (for CUDA 11.1.0)
│ 
│ Toolchain:
│ - Julia: 1.6.0-rc1
│ - LLVM: 11.0.1
│ - PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0
│ - Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80
│ 
│ 2 devices:
│   0: A100-PCIE-40GB (sm_80, 38.916 GiB / 39.586 GiB available)
└   1: A100-PCIE-40GB (sm_80, 39.583 GiB / 39.586 GiB available)
[ Info: Testing using 1 device(s): 2. A100-PCIE-40GB (UUID 541fcd36-c901-0c21-1712-9456bc3e0548)
                                         |          | ---------------- GPU ---------------- | ---------------- CPU ---------------- |
Test                            (Worker) | Time (s) | GC (s) | GC % | Alloc (MB) | RSS (MB) | GC (s) | GC % | Alloc (MB) | RSS (MB) |
initialization                       (2) |     2.70 |   0.00 |  0.0 |       0.00 |   413.00 |   0.01 |  0.5 |     153.64 |  1463.37 |
apiutils                             (2) |     0.18 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       1.81 |  1463.37 |
array                                (2) |   129.38 |   0.04 |  0.0 |       5.29 |   487.00 |   6.30 |  4.9 |   14064.29 |  1463.37 |
broadcast                            (2) |    46.46 |   0.00 |  0.0 |       0.00 |   465.00 |   2.04 |  4.4 |    3797.22 |  1463.37 |
codegen                              (2) |    11.88 |   0.18 |  1.5 |       0.00 |   659.00 |   0.51 |  4.3 |    1229.78 |  1463.37 |
cublas                               (2) |   112.84 |   0.02 |  0.0 |      14.50 |   751.00 |   6.31 |  5.6 |   14164.54 |  2846.77 |
cufft                                (2) |    26.43 |   0.01 |  0.0 |     151.26 |   629.00 |   1.20 |  4.5 |    2607.97 |  2882.43 |
curand                               (2) |     0.10 |   0.00 |  0.0 |       0.00 |   421.00 |   0.00 |  0.0 |       6.49 |  2882.43 |
cusolver                             (2) |    90.69 |   0.05 |  0.0 |    1294.29 |  1113.00 |   4.55 |  5.0 |   10129.40 |  3939.22 |
cusparse                             (2) |    35.18 |   0.01 |  0.0 |       8.45 |   613.00 |   1.13 |  3.2 |    2636.79 |  4019.42 |
examples                             (2) |   136.37 |   0.00 |  0.0 |       0.00 |   413.00 |   0.05 |  0.0 |      29.10 |  4019.42 |
exceptions                           (2) |    83.53 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      38.95 |  4019.42 |
      From worker 2:	WARNING: Method definition #5848#kernel(Any) in module Main at /home/isensee/.julia/dev/CUDA/test/execution.jl:316 overwritten at /home/isensee/.julia/dev/CUDA/test/execution.jl:324.
execution                            (2) |    88.57 |   0.00 |  0.0 |       1.28 |   697.00 |   4.11 |  4.6 |    8966.23 |  4070.70 |
forwarddiff                          (2) |   111.68 |   0.00 |  0.0 |       0.00 |   469.00 |   3.25 |  2.9 |    7353.32 |  4186.96 |
iterator                             (2) |     2.64 |   0.06 |  2.1 |       1.16 |   415.00 |   0.18 |  6.9 |     376.05 |  4186.96 |
nnlib                                (2) |    15.75 |   0.00 |  0.0 |       0.01 |   803.00 |   1.46 |  9.3 |    1895.57 |  4186.96 |
nvml                                 (2) |     0.56 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      27.82 |  4186.96 |
nvtx                                 (2) |     0.27 |   0.00 |  0.0 |       0.00 |   413.00 |   0.06 | 22.7 |      23.39 |  4186.96 |
pointer                              (2) |     0.26 |   0.00 |  0.1 |       0.00 |   415.00 |   0.00 |  0.0 |      13.50 |  4186.96 |
pool                                 (2) |     3.47 |   0.00 |  0.0 |       0.00 |   413.00 |   1.05 | 30.4 |     561.95 |  4186.96 |
random                               (2) |    13.25 |   0.00 |  0.0 |       0.02 |   465.00 |   0.60 |  4.6 |    1232.57 |  4186.96 |
sorting                              (2) |    76.24 |   0.26 |  0.3 |     259.47 |  6353.00 |   3.87 |  5.1 |    9818.30 |  4230.59 |
statistics                           (2) |    19.32 |   0.00 |  0.0 |       0.00 |   463.00 |   0.81 |  4.2 |    1786.35 |  4238.26 |
texture                              (2) |    71.72 |   0.00 |  0.0 |       0.09 |   473.00 |   3.31 |  4.6 |    7006.52 |  4269.76 |
threading                            (2) |     3.58 |   0.00 |  0.1 |      10.94 |   741.00 |   0.10 |  2.8 |     304.19 |  4620.46 |
utils                                (2) |     0.91 |   0.00 |  0.0 |       0.00 |   475.00 |   0.00 |  0.0 |      89.00 |  4620.46 |
cudadrv/context                      (2) |     0.76 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       6.26 |  4787.21 |
cudadrv/devices                      (2) |     0.29 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      27.71 |  4787.21 |
cudadrv/errors                       (2) |     0.12 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      10.61 |  4787.21 |
cudadrv/events                       (2) |     0.11 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       4.63 |  4787.21 |
cudadrv/execution                    (2) |     0.68 |   0.00 |  0.0 |       0.00 |   415.00 |   0.00 |  0.0 |      49.14 |  4787.21 |
cudadrv/memory                       (2) |     1.67 |   0.00 |  0.0 |       0.00 |   415.00 |   0.09 |  5.6 |      93.55 |  4787.21 |
cudadrv/module                       (2) |     0.42 |   0.00 |  0.0 |       0.00 |   415.00 |   0.00 |  0.0 |      32.54 |  4787.21 |
cudadrv/occupancy                    (2) |     0.12 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       6.46 |  4787.21 |
cudadrv/profile                      (2) |     0.28 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |      53.03 |  4787.21 |
cudadrv/stream                       (2) |     0.09 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       5.44 |  4787.21 |
cudadrv/version                      (2) |     0.01 |   0.00 |  0.0 |       0.00 |   413.00 |   0.00 |  0.0 |       0.07 |  4787.21 |
cudnn/activation                     (2) |     1.97 |   0.00 |  0.0 |       0.00 |   677.00 |   0.08 |  4.2 |     171.77 |  4854.97 |
cudnn/convolution                    (2) |    10.95 |   0.00 |  0.0 |       8.07 |  1035.00 |   0.57 |  5.2 |    1090.44 |  6031.16 |
┌ Warning: CUDA.CUDNN.cudnnDropoutSeed[] >= 0: dropout operations will be deterministic but 40x more expensive
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/dropout.jl:40
cudnn/dropout                        (2) |     3.36 |   0.00 |  0.0 |       5.08 |   733.00 |   0.00 |  0.0 |     135.44 |  6031.55 |
cudnn/inplace                        (2) |     1.02 |   0.00 |  0.0 |       0.01 |   681.00 |   0.00 |  0.0 |      54.01 |  6031.55 |
cudnn/multiheadattn                  (2) |    14.14 |   0.00 |  0.0 |       0.14 |   843.00 |   0.47 |  3.3 |    1393.50 |  6244.75 |
┌ Warning: ∇softmax(dy,x) should be deprecated, please use ∇softmax(dy,x,y)
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/nnlib.jl:44
┌ Warning: ∇logsoftmax(dy,x) should be deprecated, please use ∇logsoftmax(dy,x,y)
└ @ CUDA.CUDNN ~/.julia/dev/CUDA/lib/cudnn/nnlib.jl:54
cudnn/nnlib                          (2) |    97.53 |   0.01 |  0.0 |      29.77 |  1131.00 |   4.47 |  4.6 |   10618.42 |  6794.52 |
cudnn/normalization                  (2) |    17.69 |   0.00 |  0.0 |       0.11 |   801.00 |   0.83 |  4.7 |    1467.71 |  6797.00 |
cudnn/optensor                       (2) |     1.69 |   0.00 |  0.0 |       0.00 |   677.00 |   0.00 |  0.0 |     133.05 |  6797.00 |
cudnn/pooling                        (2) |     5.12 |   0.00 |  0.0 |       0.06 |   677.00 |   0.28 |  5.5 |     534.97 |  6798.84 |
cudnn/reduce                         (2) |     2.98 |   0.00 |  0.0 |       0.02 |   677.00 |   0.10 |  3.2 |     302.84 |  6798.84 |
cudnn/rnn                            (2) |     7.70 |   0.00 |  0.0 |       5.81 |   851.00 |   0.32 |  4.2 |    1022.93 |  7117.21 |
cudnn/softmax                        (2) |     1.36 |   0.00 |  0.0 |       0.01 |   677.00 |   0.00 |  0.0 |      78.74 |  7117.21 |
cudnn/tensor                         (2) |     1.02 |   0.00 |  0.0 |       0.00 |   421.00 |   0.69 | 68.4 |      22.74 |  7117.21 |
cusolver/cusparse                    (2) |     8.47 |   0.00 |  0.0 |       0.19 |   885.00 |   0.21 |  2.5 |     543.53 |  7117.21 |
cusparse/interfaces                  (2) |    17.28 |   0.00 |  0.0 |       0.24 |   551.00 |   0.53 |  3.1 |    1567.40 |  7117.21 |
cutensor/base                        (2) |     0.13 |   0.00 |  0.2 |       1.11 |   415.00 |   0.00 |  0.0 |      11.46 |  7117.21 |
cutensor/contractions                (2) |    50.99 |   0.02 |  0.0 |   32033.95 |   833.00 |   2.72 |  5.3 |    7037.06 |  7117.21 |
cutensor/elementwise_binary          (2) |    22.44 |   0.25 |  1.1 |      54.99 |   575.00 |   1.03 |  4.6 |    2669.21 |  7117.21 |
cutensor/elementwise_trinary         (2) |    29.81 |   0.00 |  0.0 |      24.44 |   533.00 |   1.37 |  4.6 |    3626.17 |  7117.21 |
cutensor/permutations                (2) |     3.93 |   0.00 |  0.1 |      12.22 |   513.00 |   0.16 |  4.1 |     494.74 |  7117.21 |
cutensor/reductions                  (2) |    16.33 |   0.20 |  1.2 |      41.72 |   503.00 |   0.75 |  4.6 |    1572.13 |  7117.21 |
device/array                         (2) |     4.91 |   0.00 |  0.0 |       0.00 |   463.00 |   0.22 |  4.4 |     378.11 |  7117.21 |
device/intrinsics                    (2) |         failed at 2021-02-12T16:33:01.583
device/ldg                           (3) |    26.58 |   0.21 |  0.8 |       0.00 |   463.00 |   0.94 |  3.5 |    2672.46 |  1491.97 |
device/wmma                          (3) |    79.63 |   0.01 |  0.0 |       0.38 |   465.00 |   2.40 |  3.0 |    7926.10 |  1491.97 |
gpuarrays/math                       (3) |     5.48 |   0.00 |  0.0 |       0.00 |   463.00 |   0.28 |  5.1 |     829.05 |  1491.97 |
gpuarrays/indexing scalar            (3) |    15.54 |   0.00 |  0.0 |       0.00 |   463.00 |   0.69 |  4.5 |    1716.66 |  1491.97 |
gpuarrays/input output               (3) |     1.79 |   0.00 |  0.0 |       0.00 |   415.00 |   0.10 |  5.5 |     193.43 |  1491.97 |
gpuarrays/value constructors         (3) |    18.84 |   0.00 |  0.0 |       0.00 |   465.00 |   1.09 |  5.8 |    1999.30 |  1491.97 |
gpuarrays/indexing multidimensional  (3) |    41.48 |   0.00 |  0.0 |       0.69 |   465.00 |   1.88 |  4.5 |    4605.83 |  1491.97 |
gpuarrays/interface                  (3) |     8.05 |   0.00 |  0.0 |       0.00 |   463.00 |   0.34 |  4.2 |     748.56 |  1491.97 |
gpuarrays/iterator constructors      (3) |     4.32 |   0.00 |  0.0 |       0.02 |   463.00 |   0.12 |  2.8 |     258.49 |  1491.97 |
gpuarrays/uniformscaling             (3) |    15.82 |   0.00 |  0.0 |       0.01 |   463.00 |   0.92 |  5.8 |    1419.39 |  1491.97 |
gpuarrays/linear algebra             (3) |   164.67 |   0.01 |  0.0 |       1.24 |   759.00 |   6.63 |  4.0 |   18772.27 |  2341.61 |
gpuarrays/conversions                (3) |     3.04 |   0.00 |  0.0 |       0.01 |   415.00 |   0.14 |  4.6 |     397.63 |  2345.10 |
gpuarrays/constructors               (3) |     1.55 |   0.00 |  0.1 |       0.03 |   415.00 |   0.08 |  5.1 |      99.55 |  2380.36 |
gpuarrays/random                     (3) |    34.43 |   0.00 |  0.0 |       0.03 |   467.00 |   1.31 |  3.8 |    3154.05 |  2380.36 |
gpuarrays/base                       (3) |    33.56 |   0.05 |  0.1 |      17.44 |   497.00 |   2.28 |  6.8 |    4060.77 |  2380.36 |
gpuarrays/mapreduce essentials       (3) |   194.08 |   0.01 |  0.0 |       3.19 |   489.00 |   7.62 |  3.9 |   18715.84 |  2380.36 |
gpuarrays/broadcasting               (3) |   141.12 |   0.00 |  0.0 |       1.19 |   481.00 |   6.98 |  4.9 |   14563.45 |  2454.40 |
gpuarrays/mapreduce derivatives      (3) |   335.14 |   0.01 |  0.0 |       3.06 |   509.00 |  11.75 |  3.5 |   26923.24 |  3560.47 |
Worker 2 failed running test device/intrinsics:
Some tests did not pass: 256 passed, 0 failed, 3 errored, 0 broken.
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:836
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 49; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:840 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#kernel#976", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:849 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:837 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:854
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:858 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9786#kernel#977", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:865 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:855 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
device/intrinsics: Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:875
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:879 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9788#kernel#978", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:886 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:876 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406

Test Summary:                         |  Pass  Error  Broken  Total
  Overall                             | 14340      3       5  14348
    initialization                    |    34                    34
    apiutils                          |     9                     9
    array                             |   205                   205
    broadcast                         |    29                    29
    codegen                           |    10                    10
    cublas                            |  2239                  2239
    cufft                             |   175                   175
    curand                            |     1                     1
    cusolver                          |  1580                  1580
    cusparse                          |   822                   822
    examples                          |     7                     7
    exceptions                        |    17                    17
    execution                         |    69                    69
    forwarddiff                       |   107                   107
    iterator                          |    30                    30
    nnlib                             |    21                    21
    nvml                              |     7                     7
    nvtx                              |                       No tests
    pointer                           |    35                    35
    pool                              |    10                    10
    random                            |   101                   101
    sorting                           |   123                   123
    statistics                        |    18                    18
    texture                           |    38              4     42
    threading                         |                       No tests
    utils                             |     5                     5
    cudadrv/context                   |    12                    12
    cudadrv/devices                   |     6                     6
    cudadrv/errors                    |     6                     6
    cudadrv/events                    |     4                     4
    cudadrv/execution                 |    15                    15
    cudadrv/memory                    |    48              1     49
    cudadrv/module                    |    16                    16
    cudadrv/occupancy                 |     1                     1
    cudadrv/profile                   |     2                     2
    cudadrv/stream                    |     7                     7
    cudadrv/version                   |     3                     3
    cudnn/activation                  |    43                    43
    cudnn/convolution                 |   110                   110
    cudnn/dropout                     |     7                     7
    cudnn/inplace                     |    12                    12
    cudnn/multiheadattn               |    69                    69
    cudnn/nnlib                       |   233                   233
    cudnn/normalization               |    32                    32
    cudnn/optensor                    |    43                    43
    cudnn/pooling                     |    48                    48
    cudnn/reduce                      |    51                    51
    cudnn/rnn                         |    84                    84
    cudnn/softmax                     |    16                    16
    cudnn/tensor                      |    10                    10
    cusolver/cusparse                 |    84                    84
    cusparse/interfaces               |    84                    84
    cutensor/base                     |     8                     8
    cutensor/contractions             |  3321                  3321
    cutensor/elementwise_binary       |   260                   260
    cutensor/elementwise_trinary      |   340                   340
    cutensor/permutations             |    80                    80
    cutensor/reductions               |   280                   280
    device/array                      |    18                    18
    device/intrinsics                 |   256      3            259
    device/ldg                        |    22                    22
    device/wmma                       |   210                   210
    gpuarrays/math                    |     8                     8
    gpuarrays/indexing scalar         |   249                   249
    gpuarrays/input output            |     5                     5
    gpuarrays/value constructors      |    36                    36
    gpuarrays/indexing multidimensional |    34                    34
    gpuarrays/interface               |     7                     7
    gpuarrays/iterator constructors   |    24                    24
    gpuarrays/uniformscaling          |    56                    56
    gpuarrays/linear algebra          |   389                   389
    gpuarrays/conversions             |    72                    72
    gpuarrays/constructors            |   335                   335
    gpuarrays/random                  |    46                    46
    gpuarrays/base                    |    42                    42
    gpuarrays/mapreduce essentials    |   522                   522
    gpuarrays/broadcasting            |   155                   155
    gpuarrays/mapreduce derivatives   |   827                   827
    FAILURE

Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:836
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 49; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:840 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#kernel#976", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#kernel#976", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:849 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:837 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:854
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:858 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9786#kernel#977", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9786#kernel#977", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:865 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:855 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
Error in testset device/intrinsics:
Error During Test at /home/isensee/.julia/dev/CUDA/test/device/intrinsics.jl:875
  Got exception outside of a @test
  CUDA error: a PTX JIT compilation failed (code 218, ERROR_INVALID_PTX)
  ptxas application ptx input, line 50; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors
  Stacktrace:
    [1] add_data!(link::CuLink, name::String, code::String)
      @ CUDA ~/.julia/dev/CUDA/lib/cudadrv/module/linker.jl:79
    [2] cufunction_link(job::GPUCompiler.CompilerJob, compiled::NamedTuple{(:code, :entry, :needs_cudadevrt, :external_gvars), Tuple{String, String, Bool, Vector{String}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:345
    [3] check_cache
      @ ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:53 [inlined]
    [4] cached_compilation
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:879 [inlined]
    [5] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{var"#9788#kernel#978", Tuple{CuDeviceVector{UInt32, 1}, Int64}}}, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
      @ GPUCompiler ~/.julia/packages/GPUCompiler/XwWPj/src/cache.jl:0
    [6] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}}; name::Nothing, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:294
    [7] cufunction(f::var"#9788#kernel#978", tt::Type{Tuple{CuDeviceVector{UInt32, 1}, Int64}})
      @ CUDA ~/.julia/dev/CUDA/src/compiler/execution.jl:288
    [8] macro expansion
      @ ~/.julia/dev/CUDA/src/compiler/execution.jl:102 [inlined]
    [9] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:886 [inlined]
   [10] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [11] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:876 [inlined]
   [12] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [13] macro expansion
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:836 [inlined]
   [14] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [15] top-level scope
      @ ~/.julia/dev/CUDA/test/device/intrinsics.jl:726
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:444
   [17] #9
      @ ~/.julia/dev/CUDA/test/runtests.jl:79 [inlined]
   [18] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [19] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1151 [inlined]
   [20] macro expansion
      @ ~/.julia/dev/CUDA/test/setup.jl:56 [inlined]
   [21] macro expansion
      @ ~/.julia/dev/CUDA/src/utilities.jl:28 [inlined]
   [22] macro expansion
      @ ~/.julia/dev/CUDA/src/pool.jl:547 [inlined]
   [23] top-level scope
      @ ~/.julia/dev/CUDA/test/setup.jl:55
   [24] eval
      @ ./boot.jl:360 [inlined]
   [25] runtests(f::Function, name::String, time_source::Symbol, snoop::Nothing)
      @ Main ~/.julia/dev/CUDA/test/setup.jl:67
   [26] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})()
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278
   [27] run_work_thunk(thunk::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, print_error::Bool)
      @ Distributed /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:63
   [28] macro expansion
      @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Distributed/src/process_messages.jl:278 [inlined]
   [29] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch}, Distributed.MsgHeader, Sockets.TCPSocket})()
      @ Distributed ./task.jl:406
ERROR: LoadError: Test run finished with errors
in expression starting at /home/isensee/.julia/dev/CUDA/test/runtests.jl:487
ERROR: Package CUDA errored during testing

maleadt · 2021-02-12T15:58:34Z

  ptxas application ptx input, line 49; error   : Instruction 'vote' without '.sync' is not supported on .target sm_70 and higher from PTX ISA version 6.4
  ptxas fatal   : Ptx assembly aborted due to errors

JonasIsensee added the bug Something isn't working label Feb 12, 2021

maleadt added the needs information Further information is requested label Feb 12, 2021

maleadt changed the title ~~Tests failing on 1.6rc1, A100~~ Ballot intrinsics should use .sync variety Feb 12, 2021

maleadt removed the needs information Further information is requested label Feb 12, 2021

Talinx mentioned this issue Feb 12, 2021

gemmEx on sm_52 results in CUBLAS_STATUS_ARCH_MISMATCH #609

Closed

maleadt mentioned this issue Feb 19, 2021

Add support for and switch test to warp-synchrnous vote intrinsics. #723

Merged

maleadt closed this as completed in #723 Feb 22, 2021

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Ballot intrinsics should use .sync variety #711

Ballot intrinsics should use .sync variety #711

JonasIsensee commented Feb 12, 2021 •

edited by maleadt

maleadt commented Feb 12, 2021

JonasIsensee commented Feb 12, 2021 •

edited by maleadt

maleadt commented Feb 12, 2021

Ballot intrinsics should use .sync variety #711

Ballot intrinsics should use .sync variety #711

Comments

JonasIsensee commented Feb 12, 2021 • edited by maleadt

maleadt commented Feb 12, 2021

JonasIsensee commented Feb 12, 2021 • edited by maleadt

maleadt commented Feb 12, 2021

JonasIsensee commented Feb 12, 2021 •

edited by maleadt

JonasIsensee commented Feb 12, 2021 •

edited by maleadt