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JuliaGPU / CUDA.jl

CUDA programming in Julia.
https://juliagpu.org/cuda/
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gemmEx on sm_52 results in CUBLAS_STATUS_ARCH_MISMATCH #609

Closed mkarikom closed 3 years ago

mkarikom commented 3 years ago

Describe the bug

Pkg.test("CUDA") cublas errors

To reproduce

Pkg.add("CUDA")
using CUDA
Pkg.test("CUDA")
Manifest.toml

``` # This file is machine-generated - editing it directly is not advised [[AbstractFFTs]] deps = ["LinearAlgebra"] git-tree-sha1 = "051c95d6836228d120f5f4b984dd5aba1624f716" uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c" version = "0.5.0" [[AbstractMCMC]] deps = ["BangBang", "ConsoleProgressMonitor", "Distributed", "Logging", "LoggingExtras", "ProgressLogging", "Random", "StatsBase", "TerminalLoggers", "Transducers"] git-tree-sha1 = "c8988bdf7cb820932be1c8bd59dcbb806279e36f" uuid = "80f14c24-f653-4e6a-9b94-39d6b0f70001" version = "2.2.1" [[AbstractTrees]] deps = ["Markdown"] git-tree-sha1 = "33e450545eaf7699da1a6e755f9ea65f14077a45" uuid = "1520ce14-60c1-5f80-bbc7-55ef81b5835c" version = "0.3.3" [[Adapt]] deps = ["LinearAlgebra"] git-tree-sha1 = "42c42f2221906892ceb765dbcb1a51deeffd86d7" uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e" version = "2.3.0" [[ArgCheck]] git-tree-sha1 = "dedbbb2ddb876f899585c4ec4433265e3017215a" uuid = "dce04be8-c92d-5529-be00-80e4d2c0e197" version = "2.1.0" [[Arpack]] deps = ["Arpack_jll", "Libdl", "LinearAlgebra"] git-tree-sha1 = "2ff92b71ba1747c5fdd541f8fc87736d82f40ec9" uuid = "7d9fca2a-8960-54d3-9f78-7d1dccf2cb97" version = "0.4.0" [[Arpack_jll]] deps = ["Libdl", "OpenBLAS_jll", "Pkg"] git-tree-sha1 = "e214a9b9bd1b4e1b4f15b22c0994862b66af7ff7" uuid = "68821587-b530-5797-8361-c406ea357684" version = "3.5.0+3" [[ArrayInterface]] deps = ["LinearAlgebra", "Requires", "SparseArrays"] git-tree-sha1 = "3b5bd474a90bee86b50f26268bbb044bb4d9ef83" uuid = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9" version = "2.14.9" [[Artifacts]] deps = ["Pkg"] git-tree-sha1 = "c30985d8821e0cd73870b17b0ed0ce6dc44cb744" uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33" version = "1.3.0" [[AxisAlgorithms]] deps = ["LinearAlgebra", "Random", "SparseArrays", "WoodburyMatrices"] git-tree-sha1 = "a4d07a1c313392a77042855df46c5f534076fab9" uuid = "13072b0f-2c55-5437-9ae7-d433b7a33950" version = "1.0.0" [[AxisArrays]] deps = ["Dates", "IntervalSets", "IterTools", "RangeArrays"] git-tree-sha1 = "f31f50712cbdf40ee8287f0443b57503e34122ef" uuid = "39de3d68-74b9-583c-8d2d-e117c070f3a9" version = "0.4.3" [[BFloat16s]] deps = ["LinearAlgebra", "Test"] git-tree-sha1 = "4af69e205efc343068dc8722b8dfec1ade89254a" uuid = "ab4f0b2a-ad5b-11e8-123f-65d77653426b" version = "0.1.0" [[BangBang]] deps = ["Compat", "ConstructionBase", "Future", "InitialValues", "LinearAlgebra", "Requires", "Setfield", "Tables", "ZygoteRules"] git-tree-sha1 = "f42321255afc37da855b6cd9f2a1fc36c017ceee" uuid = "198e06fe-97b7-11e9-32a5-e1d131e6ad66" version = "0.3.29" [[Base64]] uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f" [[BenchmarkTools]] deps = ["JSON", "Logging", "Printf", "Statistics", "UUIDs"] git-tree-sha1 = "9e62e66db34540a0c919d72172cc2f642ac71260" uuid = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf" version = "0.5.0" [[Bzip2_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "c3598e525718abcc440f69cc6d5f60dda0a1b61e" uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0" version = "1.0.6+5" [[CEnum]] git-tree-sha1 = "215a9aa4a1f23fbd05b92769fdd62559488d70e9" uuid = "fa961155-64e5-5f13-b03f-caf6b980ea82" version = "0.4.1" [[CUDA]] deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "DataStructures", "ExprTools", "GPUArrays", "GPUCompiler", "LLVM", "Libdl", "LinearAlgebra", "Logging", "MacroTools", "NNlib", "Pkg", "Printf", "Random", "Reexport", "Requires", "SparseArrays", "Statistics", "TimerOutputs"] git-tree-sha1 = "7663b61782b569b03fba91d330a5ed2f86cd4cb8" uuid = "052768ef-5323-5732-b1bb-66c8b64840ba" version = "2.3.0" [[Cairo_jll]] deps = ["Artifacts", "Bzip2_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"] git-tree-sha1 = "e2f47f6d8337369411569fd45ae5753ca10394c6" uuid = "83423d85-b0ee-5818-9007-b63ccbeb887a" version = "1.16.0+6" [[CategoricalArrays]] deps = ["DataAPI", "Future", "JSON", "Missings", "Printf", "Statistics", "StructTypes", "Unicode"] git-tree-sha1 = "5861101791fa76fafe8dddefd70ffbfe4e33ecae" uuid = "324d7699-5711-5eae-9e2f-1d82baa6b597" version = "0.9.0" [[ChainRulesCore]] deps = ["LinearAlgebra", "MuladdMacro", "SparseArrays"] git-tree-sha1 = "15081c431bb25848ad9b0d172a65794f3a3e197a" uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4" version = "0.9.24" [[ClusterManagers]] deps = ["Distributed", "Logging", "Pkg", "Sockets"] git-tree-sha1 = "d0e2f616eb67985fd186f66f3ba09047befd3c24" uuid = "34f1f09b-3a8b-5176-ab39-66d58a4d544e" version = "0.4.0" [[Clustering]] deps = ["Distances", "LinearAlgebra", "NearestNeighbors", "Printf", "SparseArrays", "Statistics", "StatsBase"] git-tree-sha1 = "75479b7df4167267d75294d14b58244695beb2ac" uuid = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5" version = "0.14.2" [[CodeTracking]] deps = ["InteractiveUtils", "UUIDs"] git-tree-sha1 = "8ad457cfeb0bca98732c97958ef81000a543e73e" uuid = "da1fd8a2-8d9e-5ec2-8556-3022fb5608a2" version = "1.0.5" [[CodecZlib]] deps = ["TranscodingStreams", "Zlib_jll"] git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da" uuid = "944b1d66-785c-5afd-91f1-9de20f533193" version = "0.7.0" [[ColorSchemes]] deps = ["ColorTypes", "Colors", "FixedPointNumbers", "Random", "StaticArrays"] git-tree-sha1 = "3141757b5832ee7a0386db87997ee5a23ff20f4d" uuid = "35d6a980-a343-548e-a6ea-1d62b119f2f4" version = "3.10.2" [[ColorTypes]] deps = ["FixedPointNumbers", "Random"] git-tree-sha1 = "4bffea7ed1a9f0f3d1a131bbcd4b925548d75288" uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f" version = "0.10.9" [[Colors]] deps = ["ColorTypes", "FixedPointNumbers", "InteractiveUtils", "Reexport"] git-tree-sha1 = "ac5f2213e56ed8a34a3dd2f681f4df1166b34929" uuid = "5ae59095-9a9b-59fe-a467-6f913c188581" version = "0.12.6" [[Combinatorics]] git-tree-sha1 = "08c8b6831dc00bfea825826be0bc8336fc369860" uuid = "861a8166-3701-5b0c-9a16-15d98fcdc6aa" version = "1.0.2" [[CommonSubexpressions]] deps = ["MacroTools", "Test"] git-tree-sha1 = "7b8a93dba8af7e3b42fecabf646260105ac373f7" uuid = "bbf7d656-a473-5ed7-a52c-81e309532950" version = "0.3.0" [[Compat]] deps = ["Base64", "Dates", "DelimitedFiles", "Distributed", "InteractiveUtils", "LibGit2", "Libdl", "LinearAlgebra", "Markdown", "Mmap", "Pkg", "Printf", "REPL", "Random", "SHA", "Serialization", "SharedArrays", "Sockets", "SparseArrays", "Statistics", "Test", "UUIDs", "Unicode"] git-tree-sha1 = "919c7f3151e79ff196add81d7f4e45d91bbf420b" uuid = "34da2185-b29b-5c13-b0c7-acf172513d20" version = "3.25.0" [[CompilerSupportLibraries_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "8e695f735fca77e9708e795eda62afdb869cbb70" uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae" version = "0.3.4+0" [[CompositionsBase]] git-tree-sha1 = "f3955eb38944e5dd0fabf8ca1e267d94941d34a5" uuid = "a33af91c-f02d-484b-be07-31d278c5ca2b" version = "0.1.0" [[ConsoleProgressMonitor]] deps = ["Logging", "ProgressMeter"] git-tree-sha1 = "3ab7b2136722890b9af903859afcf457fa3059e8" uuid = "88cd18e8-d9cc-4ea6-8889-5259c0d15c8b" version = "0.1.2" [[ConstructionBase]] git-tree-sha1 = "a2a6a5fea4d6f730ec4c18a76d27ec10e8ec1c50" uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9" version = "1.0.0" [[Contour]] deps = ["StaticArrays"] git-tree-sha1 = "9f02045d934dc030edad45944ea80dbd1f0ebea7" uuid = "d38c429a-6771-53c6-b99e-75d170b6e991" version = "0.5.7" [[Crayons]] git-tree-sha1 = "3f71217b538d7aaee0b69ab47d9b7724ca8afa0d" uuid = "a8cc5b0e-0ffa-5ad4-8c14-923d3ee1735f" version = "4.0.4" [[DataAPI]] git-tree-sha1 = "ad84f52c0b8f05aa20839484dbaf01690b41ff84" uuid = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a" version = "1.4.0" [[DataFrames]] deps = ["CategoricalArrays", "Compat", "DataAPI", "Future", "InvertedIndices", "IteratorInterfaceExtensions", "LinearAlgebra", "Markdown", "Missings", "PooledArrays", "PrettyTables", "Printf", "REPL", "Reexport", "SortingAlgorithms", "Statistics", "TableTraits", "Tables", "Unicode"] git-tree-sha1 = "b46e1deb4592a5df7416b10dfcd6b01fb194ab9a" uuid = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0" version = "0.22.2" [[DataStructures]] deps = ["Compat", "InteractiveUtils", "OrderedCollections"] git-tree-sha1 = "fb0aa371da91c1ff9dc7fbed6122d3e411420b9c" uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8" version = "0.18.8" [[DataValueInterfaces]] git-tree-sha1 = "bfc1187b79289637fa0ef6d4436ebdfe6905cbd6" uuid = "e2d170a0-9d28-54be-80f0-106bbe20a464" version = "1.0.0" [[DataValues]] deps = ["DataValueInterfaces", "Dates"] git-tree-sha1 = "d88a19299eba280a6d062e135a43f00323ae70bf" uuid = "e7dc6d0d-1eca-5fa6-8ad6-5aecde8b7ea5" version = "0.4.13" [[Dates]] deps = ["Printf"] uuid = "ade2ca70-3891-5945-98fb-dc099432e06a" [[DefineSingletons]] git-tree-sha1 = "1a356f194281dff9ef1119faa9125a0d4e210729" uuid = "244e2a9f-e319-4986-a169-4d1fe445cd52" version = "0.1.0" [[DelimitedFiles]] deps = ["Mmap"] uuid = "8bb1440f-4735-579b-a4ab-409b98df4dab" [[DiffResults]] deps = ["StaticArrays"] git-tree-sha1 = "c18e98cba888c6c25d1c3b048e4b3380ca956805" uuid = "163ba53b-c6d8-5494-b064-1a9d43ac40c5" version = "1.0.3" [[DiffRules]] deps = ["NaNMath", "Random", "SpecialFunctions"] git-tree-sha1 = "214c3fcac57755cfda163d91c58893a8723f93e9" uuid = "b552c78f-8df3-52c6-915a-8e097449b14b" version = "1.0.2" [[Distances]] deps = ["LinearAlgebra", "Statistics"] git-tree-sha1 = "e8b13ba5f166e11df2de6fc283e5db7864245df0" uuid = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7" version = "0.10.0" [[Distributed]] deps = ["Random", "Serialization", "Sockets"] uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b" [[DistributedArrays]] deps = ["Distributed", "LinearAlgebra", "Primes", "Random", "Serialization", "SparseArrays", "Statistics"] git-tree-sha1 = "ab2f313a5ef4db9d127b8fae4d922e268db1552f" uuid = "aaf54ef3-cdf8-58ed-94cc-d582ad619b94" version = "0.6.5" [[DistributedTopicModels]] deps = ["CUDA", "ClusterManagers", "Distributed", "DistributedArrays", "Distributions", "Documenter", "LinearAlgebra", "Random", "SharedArrays", "Statistics"] path = "dev/DistributedTopicModels" uuid = "84443b02-f120-4e83-b3f9-d8b671af1397" version = "0.1.0" [[Distributions]] deps = ["FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SparseArrays", "SpecialFunctions", "StaticArrays", "Statistics", "StatsBase", "StatsFuns"] git-tree-sha1 = "2cce211af0abaa01354904e2af2232a4431d8b14" uuid = "31c24e10-a181-5473-b8eb-7969acd0382f" version = "0.24.8" [[DocStringExtensions]] deps = ["LibGit2", "Markdown", "Pkg", "Test"] git-tree-sha1 = "50ddf44c53698f5e784bbebb3f4b21c5807401b1" uuid = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae" version = "0.8.3" [[Documenter]] deps = ["Base64", "Dates", "DocStringExtensions", "IOCapture", "InteractiveUtils", "JSON", "LibGit2", "Logging", "Markdown", "REPL", "Test", "Unicode"] git-tree-sha1 = "b7715ae18be02110a8cf9cc8ed2ccdb1e3e3aba2" uuid = "e30172f5-a6a5-5a46-863b-614d45cd2de4" version = "0.26.1" [[EarCut_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "92d8f9f208637e8d2d28c664051a00569c01493d" uuid = "5ae413db-bbd1-5e63-b57d-d24a61df00f5" version = "2.1.5+1" [[EllipsisNotation]] git-tree-sha1 = "18ee049accec8763be17a933737c1dd0fdf8673a" uuid = "da5c29d0-fa7d-589e-88eb-ea29b0a81949" version = "1.0.0" [[Expat_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "1402e52fcda25064f51c77a9655ce8680b76acf0" uuid = "2e619515-83b5-522b-bb60-26c02a35a201" version = "2.2.7+6" [[ExprTools]] git-tree-sha1 = "10407a39b87f29d47ebaca8edbc75d7c302ff93e" uuid = "e2ba6199-217a-4e67-a87a-7c52f15ade04" version = "0.1.3" [[FFMPEG]] deps = ["FFMPEG_jll", "x264_jll"] git-tree-sha1 = "9a73ffdc375be61b0e4516d83d880b265366fe1f" uuid = "c87230d0-a227-11e9-1b43-d7ebe4e7570a" version = "0.4.0" [[FFMPEG_jll]] deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "LibVPX_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "Pkg", "Zlib_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"] git-tree-sha1 = "3cc57ad0a213808473eafef4845a74766242e05f" uuid = "b22a6f82-2f65-5046-a5b2-351ab43fb4e5" version = "4.3.1+4" [[FFTW]] deps = ["AbstractFFTs", "FFTW_jll", "IntelOpenMP_jll", "Libdl", "LinearAlgebra", "MKL_jll", "Reexport"] git-tree-sha1 = "8b7c16b56936047ca41bf25effa137ae0b381ae8" uuid = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341" version = "1.2.4" [[FFTW_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "5a0d4b6a22a34d17d53543bd124f4b08ed78e8b0" uuid = "f5851436-0d7a-5f13-b9de-f02708fd171a" version = "3.3.9+7" [[FileIO]] deps = ["Pkg"] git-tree-sha1 = "fee8955b9dfa7bec67117ef48085fb2b559b9c22" uuid = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549" version = "1.4.5" [[FileWatching]] uuid = "7b1f6079-737a-58dc-b8bc-7a2ca5c1b5ee" [[FillArrays]] deps = ["LinearAlgebra", "Random", "SparseArrays"] git-tree-sha1 = "ff537e5a3cba92fb48f30fec46723510450f2c0e" uuid = "1a297f60-69ca-5386-bcde-b61e274b549b" version = "0.10.2" [[FiniteDiff]] deps = ["ArrayInterface", "LinearAlgebra", "Requires", "SparseArrays", "StaticArrays"] git-tree-sha1 = "7f7216e0eb46c20ee8ddab5c8f9a262ed72587b6" uuid = "6a86dc24-6348-571c-b903-95158fe2bd41" version = "2.7.2" [[FixedPointNumbers]] deps = ["Statistics"] git-tree-sha1 = "335bfdceacc84c5cdf16aadc768aa5ddfc5383cc" uuid = "53c48c17-4a7d-5ca2-90c5-79b7896eea93" version = "0.8.4" [[Fontconfig_jll]] deps = ["Artifacts", "Bzip2_jll", "Expat_jll", "FreeType2_jll", "JLLWrappers", "Libdl", "Libuuid_jll", "Pkg", "Zlib_jll"] git-tree-sha1 = "35895cf184ceaab11fd778b4590144034a167a2f" uuid = "a3f928ae-7b40-5064-980b-68af3947d34b" version = "2.13.1+14" [[Formatting]] deps = ["Printf"] git-tree-sha1 = "8339d61043228fdd3eb658d86c926cb282ae72a8" uuid = "59287772-0a20-5a39-b81b-1366585eb4c0" version = "0.4.2" [[ForwardDiff]] deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "NaNMath", "Random", "SpecialFunctions", "StaticArrays"] git-tree-sha1 = "8de2519a83c6c1c2442c2f481dd9a8364855daf4" uuid = "f6369f11-7733-5829-9624-2563aa707210" version = "0.10.14" [[FreeType2_jll]] deps = ["Artifacts", "Bzip2_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "cbd58c9deb1d304f5a245a0b7eb841a2560cfec6" uuid = "d7e528f0-a631-5988-bf34-fe36492bcfd7" version = "2.10.1+5" [[FriBidi_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "0d20aed5b14dd4c9a2453c1b601d08e1149679cc" uuid = "559328eb-81f9-559d-9380-de523a88c83c" version = "1.0.5+6" [[Future]] deps = ["Random"] uuid = "9fa8497b-333b-5362-9e8d-4d0656e87820" [[GLFW_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Libglvnd_jll", "Pkg", "Xorg_libXcursor_jll", "Xorg_libXi_jll", "Xorg_libXinerama_jll", "Xorg_libXrandr_jll"] git-tree-sha1 = "a1bbf700b5388bffc3d882f4f4d625cf1c714fd7" uuid = "0656b61e-2033-5cc2-a64a-77c0f6c09b89" version = "3.3.2+1" [[GPUArrays]] deps = ["AbstractFFTs", "Adapt", "LinearAlgebra", "Printf", "Random", "Serialization"] git-tree-sha1 = "2c1dd57bca7ba0b3b4bf81d9332aeb81b154ef4c" uuid = "0c68f7d7-f131-5f86-a1c3-88cf8149b2d7" version = "6.1.2" [[GPUCompiler]] deps = ["DataStructures", "InteractiveUtils", "LLVM", "Libdl", "Scratch", "Serialization", "TimerOutputs", "UUIDs"] git-tree-sha1 = "c853c810b52a80f9aad79ab109207889e57f41ef" uuid = "61eb1bfa-7361-4325-ad38-22787b887f55" version = "0.8.3" [[GR]] deps = ["Base64", "DelimitedFiles", "GR_jll", "HTTP", "JSON", "LinearAlgebra", "Pkg", "Printf", "Random", "Serialization", "Sockets", "Test", "UUIDs"] git-tree-sha1 = "b90b826782cb3ac5b7a7f41b3fd0113180257ed4" uuid = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71" version = "0.53.0" [[GR_jll]] deps = ["Artifacts", "Bzip2_jll", "Cairo_jll", "FFMPEG_jll", "Fontconfig_jll", "GLFW_jll", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Libtiff_jll", "Pixman_jll", "Pkg", "Qt_jll", "Zlib_jll", "libpng_jll"] git-tree-sha1 = "8aee6fa096b0cbdb05e71750c978b96a08c78951" uuid = "d2c73de3-f751-5644-a686-071e5b155ba9" version = "0.53.0+0" [[GZip]] deps = ["Libdl"] git-tree-sha1 = 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"2b3eac39df218762d2d005702d601cd44c997497" uuid = "aed1982a-8fda-507f-9586-7b0439959a61" version = "1.1.33+4" [[Xorg_libX11_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll", "Xorg_xtrans_jll"] git-tree-sha1 = "5be649d550f3f4b95308bf0183b82e2582876527" uuid = "4f6342f7-b3d2-589e-9d20-edeb45f2b2bc" version = "1.6.9+4" [[Xorg_libXau_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "4e490d5c960c314f33885790ed410ff3a94ce67e" uuid = "0c0b7dd1-d40b-584c-a123-a41640f87eec" version = "1.0.9+4" [[Xorg_libXcursor_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXfixes_jll", "Xorg_libXrender_jll"] git-tree-sha1 = "12e0eb3bc634fa2080c1c37fccf56f7c22989afd" uuid = "935fb764-8cf2-53bf-bb30-45bb1f8bf724" version = "1.2.0+4" [[Xorg_libXdmcp_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "4fe47bd2247248125c428978740e18a681372dd4" uuid = "a3789734-cfe1-5b06-b2d0-1dd0d9d62d05" version = "1.1.3+4" [[Xorg_libXext_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "b7c0aa8c376b31e4852b360222848637f481f8c3" uuid = "1082639a-0dae-5f34-9b06-72781eeb8cb3" version = "1.3.4+4" [[Xorg_libXfixes_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "0e0dc7431e7a0587559f9294aeec269471c991a4" uuid = "d091e8ba-531a-589c-9de9-94069b037ed8" version = "5.0.3+4" [[Xorg_libXi_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXfixes_jll"] git-tree-sha1 = "89b52bc2160aadc84d707093930ef0bffa641246" uuid = "a51aa0fd-4e3c-5386-b890-e753decda492" version = "1.7.10+4" [[Xorg_libXinerama_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll"] git-tree-sha1 = "26be8b1c342929259317d8b9f7b53bf2bb73b123" uuid = "d1454406-59df-5ea1-beac-c340f2130bc3" version = "1.1.4+4" [[Xorg_libXrandr_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll"] git-tree-sha1 = "34cea83cb726fb58f325887bf0612c6b3fb17631" uuid = "ec84b674-ba8e-5d96-8ba1-2a689ba10484" version = "1.5.2+4" [[Xorg_libXrender_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "19560f30fd49f4d4efbe7002a1037f8c43d43b96" uuid = "ea2f1a96-1ddc-540d-b46f-429655e07cfa" version = "0.9.10+4" [[Xorg_libpthread_stubs_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "6783737e45d3c59a4a4c4091f5f88cdcf0908cbb" uuid = "14d82f49-176c-5ed1-bb49-ad3f5cbd8c74" version = "0.1.0+3" [[Xorg_libxcb_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "XSLT_jll", "Xorg_libXau_jll", "Xorg_libXdmcp_jll", "Xorg_libpthread_stubs_jll"] git-tree-sha1 = "daf17f441228e7a3833846cd048892861cff16d6" uuid = "c7cfdc94-dc32-55de-ac96-5a1b8d977c5b" version = "1.13.0+3" [[Xorg_libxkbfile_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "926af861744212db0eb001d9e40b5d16292080b2" uuid = "cc61e674-0454-545c-8b26-ed2c68acab7a" version = "1.1.0+4" [[Xorg_xcb_util_image_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "0fab0a40349ba1cba2c1da699243396ff8e94b97" uuid = "12413925-8142-5f55-bb0e-6d7ca50bb09b" version = "0.4.0+1" [[Xorg_xcb_util_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll"] git-tree-sha1 = "e7fd7b2881fa2eaa72717420894d3938177862d1" uuid = "2def613f-5ad1-5310-b15b-b15d46f528f5" version = "0.4.0+1" [[Xorg_xcb_util_keysyms_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "d1151e2c45a544f32441a567d1690e701ec89b00" uuid = "975044d2-76e6-5fbe-bf08-97ce7c6574c7" version = "0.4.0+1" [[Xorg_xcb_util_renderutil_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "dfd7a8f38d4613b6a575253b3174dd991ca6183e" uuid = "0d47668e-0667-5a69-a72c-f761630bfb7e" version = "0.3.9+1" [[Xorg_xcb_util_wm_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "e78d10aab01a4a154142c5006ed44fd9e8e31b67" uuid = "c22f9ab0-d5fe-5066-847c-f4bb1cd4e361" version = "0.4.1+1" [[Xorg_xkbcomp_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxkbfile_jll"] git-tree-sha1 = "4bcbf660f6c2e714f87e960a171b119d06ee163b" uuid = "35661453-b289-5fab-8a00-3d9160c6a3a4" version = "1.4.2+4" [[Xorg_xkeyboard_config_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xkbcomp_jll"] git-tree-sha1 = "5c8424f8a67c3f2209646d4425f3d415fee5931d" uuid = "33bec58e-1273-512f-9401-5d533626f822" version = "2.27.0+4" [[Xorg_xtrans_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "79c31e7844f6ecf779705fbc12146eb190b7d845" uuid = "c5fb5394-a638-5e4d-96e5-b29de1b5cf10" version = "1.4.0+3" [[Zlib_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "320228915c8debb12cb434c59057290f0834dbf6" uuid = "83775a58-1f1d-513f-b197-d71354ab007a" version = "1.2.11+18" [[Zstd_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "6f1abcb0c44f184690912aa4b0ba861dd64f11b9" uuid = "3161d3a3-bdf6-5164-811a-617609db77b4" version = "1.4.5+2" [[ZygoteRules]] deps = ["MacroTools"] git-tree-sha1 = "9e7a1e8ca60b742e508a315c17eef5211e7fbfd7" uuid = "700de1a5-db45-46bc-99cf-38207098b444" version = "0.2.1" [[libass_jll]] deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "acc685bcf777b2202a904cdcb49ad34c2fa1880c" uuid = "0ac62f75-1d6f-5e53-bd7c-93b484bb37c0" version = "0.14.0+4" [[libfdk_aac_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "7a5780a0d9c6864184b3a2eeeb833a0c871f00ab" uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280" version = "0.1.6+4" [[libpng_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "6abbc424248097d69c0c87ba50fcb0753f93e0ee" uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f" version = "1.6.37+6" [[libvorbis_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Ogg_jll", "Pkg"] git-tree-sha1 = "fa14ac25af7a4b8a7f61b287a124df7aab601bcd" uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a" version = "1.3.6+6" [[x264_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "d713c1ce4deac133e3334ee12f4adff07f81778f" uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a" version = "2020.7.14+2" [[x265_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "487da2f8f2f0c8ee0e83f39d13037d6bbf0a45ab" uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76" version = "3.0.0+3" [[xkbcommon_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll", "Wayland_protocols_jll", "Xorg_libxcb_jll", "Xorg_xkeyboard_config_jll"] git-tree-sha1 = "ece2350174195bb31de1a63bea3a41ae1aa593b6" uuid = "d8fb68d0-12a3-5cfd-a85a-d49703b185fd" version = "0.9.1+5" ```

Expected behavior

All tests should pass

Version info

Details on Julia:

Julia Version 1.5.2
Commit 539f3ce943 (2020-09-23 23:17 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) CPU E5-2667 v4 @ 3.20GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, broadwell)
Environment:
  JULIA_NUM_THREADS = 16

Details on CUDA:

julia> CUDA.versioninfo()
CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.1.0
NVIDIA driver 455.38.0

Libraries: 
- CUBLAS: 11.3.0
- CURAND: 10.2.2
- CUFFT: 10.3.0
- CUSOLVER: 11.0.1
- CUSPARSE: 11.3.0
- CUPTI: 14.0.0
- NVML: 11.0.0+455.38
- CUDNN: 8.0.4 (for CUDA 11.1.0)
- CUTENSOR: 1.2.1 (for CUDA 11.1.0)

Toolchain:
- Julia: 1.5.2
- LLVM: 9.0.1
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4
- Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75

1 device:
  0: GeForce GTX 980 Ti (sm_52, 5.016 GiB / 5.940 GiB available)

Output [install via Artifacts and run Pkg.test("CUDA")]:

┌ Info: System information:
│ CUDA toolkit 11.1.1, artifact installation
│ CUDA driver 11.1.0
│ NVIDIA driver 455.38.0
│ 
│ Libraries: 
│ - CUBLAS: 11.3.0
│ - CURAND: 10.2.2
│ - CUFFT: 10.3.0
│ - CUSOLVER: 11.0.1
│ - CUSPARSE: 11.3.0
│ - CUPTI: 14.0.0
│ - NVML: 11.0.0+455.38
│ - CUDNN: 8.0.4 (for CUDA 11.1.0)
│ - CUTENSOR: 1.2.1 (for CUDA 11.1.0)
│ 
│ Toolchain:
│ - Julia: 1.5.2
│ - LLVM: 9.0.1
│ - PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4
│ - Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75
│ 
│ 1 device:
└   0: GeForce GTX 980 Ti (sm_52, 4.912 GiB / 5.940 GiB available)
[ Info: Testing using 1 device(s): 1. GeForce GTX 980 Ti (UUID c4919b03-3ef2-6a21-a01c-ec04fc91cc3b)
[ Info: Skipping the following tests: cutensor/base, cutensor/contractions, cutensor/elementwise_binary, cutensor/elementwise_trinary, cutensor/permutations, cutensor/reductions, device/wmma
                                          |          | ---------------- GPU ---------------- | ---------------- CPU ---------------- |
Test                             (Worker) | Time (s) | GC (s) | GC % | Alloc (MB) | RSS (MB) | GC (s) | GC % | Alloc (MB) | RSS (MB) |
initialization                        (2) |     5.17 |   0.00 |  0.0 |       0.00 |    89.63 |   0.18 |  3.5 |     480.51 |  1422.18 |
curand                               (10) |     1.54 |   0.00 |  0.0 |       0.00 |    93.63 |   0.14 |  9.1 |     329.07 |  1422.41 |
apiutils                              (3) |     1.53 |   0.00 |  0.0 |       0.00 |    89.63 |   0.12 |  7.8 |     307.81 |  1422.18 |
nvml                                 (10) |     0.55 |   0.00 |  0.0 |       0.00 |    89.63 |   0.03 |  4.7 |      41.83 |  1422.41 |
nvtx                                  (3) |     0.51 |   0.00 |  0.0 |       0.00 |    89.63 |   0.03 |  6.7 |      63.21 |  1422.18 |
pointer                              (10) |     0.79 |   0.02 |  3.0 |       0.00 |    90.63 |   0.00 |  0.0 |      15.77 |  1422.41 |
iterator                             (17) |     4.65 |   0.12 |  2.6 |       1.07 |    90.63 |   0.22 |  4.6 |     561.80 |  1422.41 |
pool                                  (3) |     3.10 |   0.05 |  1.5 |       0.00 |    89.63 |   0.29 |  9.4 |     183.50 |  1422.18 |
codegen                               (6) |    15.94 |   0.02 |  0.1 |       0.00 |   104.75 |   0.77 |  4.9 |    1335.04 |  1422.18 |
threading                             (6) |     4.05 |   0.05 |  1.2 |      18.94 |   191.75 |   0.16 |  4.0 |     461.10 |  1636.42 |
nnlib                                 (2) |    19.43 |   0.05 |  0.2 |       4.00 |   166.75 |   0.77 |  4.0 |    1844.31 |  1493.20 |
cudadrv/context                       (2) |     0.49 |   0.00 |  0.0 |       0.00 |    89.63 |   0.00 |  0.0 |      16.45 |  1522.80 |
cudadrv/devices                       (2) |     0.36 |   0.00 |  0.0 |       0.00 |    89.63 |   0.01 |  3.5 |      36.71 |  1522.80 |
utils                                 (6) |     1.40 |   0.00 |  0.0 |       4.00 |   169.63 |   0.03 |  2.1 |     112.97 |  1644.32 |
random                               (10) |    19.11 |   0.05 |  0.3 |       0.02 |    98.75 |   0.82 |  4.3 |    1793.64 |  1422.41 |
cudadrv/events                        (6) |     0.15 |   0.00 |  0.0 |       0.00 |    97.63 |   0.01 |  8.1 |       8.13 |  1644.32 |
cudadrv/errors                        (2) |     0.30 |   0.00 |  0.0 |       0.00 |    89.63 |   0.02 |  6.0 |      17.54 |  1522.80 |
cudadrv/module                        (2) |     0.52 |   0.00 |  0.0 |       0.00 |    89.63 |   0.04 |  7.1 |      43.71 |  1522.80 |
cudadrv/execution                    (10) |     0.98 |   0.00 |  0.0 |       0.00 |    90.63 |   0.02 |  2.4 |      87.16 |  1422.41 |
cudadrv/occupancy                     (2) |     0.15 |   0.00 |  0.0 |       0.00 |    89.63 |   0.00 |  0.0 |       6.69 |  1522.80 |
cudadrv/profile                      (10) |     0.29 |   0.00 |  0.0 |       0.00 |    89.63 |   0.01 |  4.4 |      41.75 |  1422.41 |
cudadrv/stream                        (2) |     0.20 |   0.00 |  0.0 |       0.00 |    89.63 |   0.00 |  0.0 |      14.26 |  1522.80 |
cudadrv/version                      (10) |     0.01 |   0.00 |  0.0 |       0.00 |    89.63 |   0.00 |  0.0 |       0.07 |  1422.41 |
cudadrv/memory                        (6) |     2.10 |   0.00 |  0.0 |       0.00 |    98.63 |   0.07 |  3.2 |     179.54 |  1644.32 |
device/array                         (10) |     3.03 |   0.00 |  0.0 |       0.00 |    96.75 |   0.10 |  3.2 |     315.61 |  1422.41 |
statistics                           (17) |    25.80 |   0.00 |  0.0 |       0.00 |    96.75 |   1.13 |  4.4 |    2508.49 |  1422.41 |
gpuarrays/math                       (17) |     3.61 |   0.00 |  0.0 |       0.00 |    96.75 |   0.17 |  4.8 |     480.80 |  1422.41 |
device/ldg                           (10) |     6.70 |   0.00 |  0.0 |       0.00 |    96.75 |   0.21 |  3.1 |     783.77 |  1422.41 |
broadcast                             (5) |    37.58 |   0.07 |  0.2 |       0.00 |    96.75 |   1.13 |  3.0 |    3417.20 |  1422.18 |
gpuarrays/input output               (10) |     2.81 |   0.00 |  0.0 |       0.00 |    90.63 |   0.20 |  7.1 |     418.02 |  1422.41 |
gpuarrays/indexing scalar            (17) |     7.32 |   0.00 |  0.0 |       0.00 |    96.75 |   0.28 |  3.8 |     824.72 |  1422.41 |
cufft                                 (9) |    42.89 |   0.08 |  0.2 |     155.26 |   235.75 |   1.64 |  3.8 |    4141.28 |  1560.88 |
gpuarrays/interface                  (17) |     2.75 |   0.00 |  0.0 |       0.00 |    96.75 |   0.13 |  4.6 |     363.09 |  1422.41 |
cusolver/cusparse                     (2) |    22.16 |   0.00 |  0.0 |       0.19 |   259.75 |   1.25 |  5.6 |    2203.64 |  1956.57 |
gpuarrays/value constructors          (5) |    10.36 |   0.00 |  0.0 |       0.00 |    96.75 |   0.45 |  4.3 |    1342.23 |  1422.18 |
gpuarrays/iterator constructors       (9) |     5.73 |   0.00 |  0.0 |       0.02 |    96.75 |   0.23 |  4.0 |     668.61 |  1564.65 |
execution                            (15) |    49.64 |   0.05 |  0.1 |       0.02 |   158.50 |   1.73 |  3.5 |    5222.04 |  1422.41 |
gpuarrays/constructors                (9) |     1.59 |   0.00 |  0.2 |       0.03 |    90.63 |   0.03 |  2.1 |      99.81 |  1564.65 |
gpuarrays/conversions                 (5) |     4.14 |   0.00 |  0.0 |       0.01 |    90.63 |   0.13 |  3.2 |     438.49 |  1422.18 |
gpuarrays/uniformscaling             (17) |     7.93 |   0.00 |  0.0 |       0.01 |    96.75 |   0.28 |  3.6 |     794.75 |  1422.41 |
gpuarrays/indexing multidimensional  (10) |    22.74 |   0.00 |  0.0 |       0.69 |    96.75 |   1.15 |  5.1 |    2589.09 |  1422.41 |
cusparse                             (12) |    67.02 |   0.08 |  0.1 |       9.71 |   219.75 |   2.52 |  3.8 |    6237.53 |  1743.37 |
texture                               (3) |    63.22 |   0.00 |  0.0 |       0.09 |    98.75 |   2.96 |  4.7 |    6827.76 |  1422.18 |
gpuarrays/base                        (9) |    19.08 |   0.00 |  0.0 |      17.44 |   128.75 |   1.18 |  6.2 |    2443.49 |  1620.52 |
gpuarrays/random                     (15) |    20.16 |   0.00 |  0.0 |       0.03 |   106.75 |   0.64 |  3.2 |    1956.95 |  1477.34 |
array                                 (4) |    71.47 |   0.07 |  0.1 |       5.20 |   104.75 |   2.90 |  4.1 |    7746.65 |  1436.29 |
cudnn                                 (8) |    74.40 |   0.07 |  0.1 |       0.89 |   218.75 |   2.67 |  3.6 |    7394.19 |  1837.51 |
forwarddiff                          (16) |    87.19 |   0.07 |  0.1 |       0.00 |    96.75 |   1.98 |  2.3 |    5060.42 |  1422.41 |
cusolver                             (11) |    88.64 |   0.14 |  0.2 |    1298.29 |   321.75 |   3.63 |  4.1 |    8969.10 |  2017.83 |
exceptions                           (14) |    99.46 |   0.00 |  0.0 |       0.00 |    89.63 |   0.21 |  0.2 |     491.65 |  1422.41 |
cublas                                (7) |         failed at 2020-12-26T13:09:30.626
gpuarrays/broadcasting               (17) |    68.76 |   0.00 |  0.0 |       1.19 |    97.75 |   3.15 |  4.6 |    8410.12 |  1526.72 |
gpuarrays/linear algebra              (2) |    76.54 |   0.01 |  0.0 |       5.24 |   169.75 |   2.52 |  3.3 |    7122.20 |  1956.57 |
device/intrinsics                     (6) |    98.50 |   0.00 |  0.0 |       0.01 |   491.50 |   2.79 |  2.8 |    9007.35 |  1682.77 |
examples                             (13) |   132.55 |   0.00 |  0.0 |       0.00 |    89.63 |   0.25 |  0.2 |     485.51 |  1422.41 |
gpuarrays/mapreduce essentials        (5) |   111.48 |   0.01 |  0.0 |       3.19 |    98.75 |   5.16 |  4.6 |   13744.60 |  1552.70 |
gpuarrays/mapreduce derivatives      (10) |   191.23 |   0.01 |  0.0 |       3.06 |   100.75 |   8.29 |  4.3 |   19189.68 |  1918.55 |
Worker 7 failed running test cublas:
Some tests did not pass: 1908 passed, 0 failed, 1 errored, 0 broken.
cublas: Error During Test at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:1250
  Got exception outside of a @test
  CUBLASError: an absent device architectural feature is required (code 8, CUBLAS_STATUS_ARCH_MISMATCH)
  Stacktrace:
   [1] throw_api_error(::CUDA.CUBLAS.cublasStatus_t) at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/error.jl:47
   [2] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/error.jl:58 [inlined]
   [3] cublasGemmEx(::Ptr{Nothing}, ::Char, ::Char, ::Int64, ::Int64, ::Int64, ::Base.RefValue{Float16}, ::CuArray{Float16,2}, ::Type{T} where T, ::Int64, ::CuArray{Float16,2}, ::Type{T} where T, ::Int64, ::Base.RefValue{Float16}, ::CuArray{Float16,2}, ::Type{T} where T, ::Int64, ::CUDA.CUBLAS.cublasComputeType_t, ::CUDA.CUBLAS.cublasGemmAlgo_t) at /home/me/.julia/packages/CUDA/YeS8q/lib/utils/call.jl:93
   [4] gemmEx!(::Char, ::Char, ::Number, ::Union{CuArray{T,1}, CuArray{T,2}} where T, ::Union{CuArray{T,1}, CuArray{T,2}} where T, ::Number, ::Union{CuArray{T,1}, CuArray{T,2}} where T; algo::CUDA.CUBLAS.cublasGemmAlgo_t) at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/wrappers.jl:836
   [5] gemmEx! at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/wrappers.jl:818 [inlined]
   [6] gemm_dispatch!(::CuArray{Float16,2}, ::CuArray{Float16,2}, ::CuArray{Float16,2}, ::Bool, ::Bool) at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/linalg.jl:216
   [7] mul! at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/linalg.jl:227 [inlined]
   [8] mul!(::CuArray{Float16,2}, ::CuArray{Float16,2}, ::CuArray{Float16,2}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/LinearAlgebra/src/matmul.jl:208
   [9] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:1275
   [10] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
   [11] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:1251
   [12] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
   [13] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:438
   [14] include(::String) at ./client.jl:457
   [15] #9 at /home/me/.julia/packages/CUDA/YeS8q/test/runtests.jl:78 [inlined]
   [16] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:47 [inlined]
   [17] macro expansion at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
   [18] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:47 [inlined]
   [19] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/src/utilities.jl:35 [inlined]
   [20] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/src/pool.jl:564 [inlined]
   [21] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:46
   [22] eval at ./boot.jl:331 [inlined]
   [23] runtests(::Function, ::String, ::Symbol, ::Nothing) at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:58
   [24] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})() at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:294
   [25] run_work_thunk(::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, ::Bool) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:79
   [26] macro expansion at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:294 [inlined]
   [27] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch},Distributed.MsgHeader,Sockets.TCPSocket})() at ./task.jl:356

Test Summary:                         | Pass  Error  Broken  Total
  Overall                             | 8453      1       5   8459
    initialization                    |   25                    25
    curand                            |    1                     1
    apiutils                          |   15                    15
    nvml                              |    7                     7
    nvtx                              |                      No tests
    pointer                           |   35                    35
    iterator                          |   30                    30
    pool                              |   10                    10
    codegen                           |    9                     9
    threading                         |                      No tests
    nnlib                             |   17                    17
    cudadrv/context                   |   12                    12
    cudadrv/devices                   |    6                     6
    utils                             |    5                     5
    random                            |  101                   101
    cudadrv/events                    |    6                     6
    cudadrv/errors                    |    6                     6
    cudadrv/module                    |   12                    12
    cudadrv/execution                 |   15                    15
    cudadrv/occupancy                 |    1                     1
    cudadrv/profile                   |    2                     2
    cudadrv/stream                    |    7                     7
    cudadrv/version                   |    3                     3
    cudadrv/memory                    |   49              1     50
    device/array                      |   18                    18
    statistics                        |   18                    18
    gpuarrays/math                    |    8                     8
    device/ldg                        |   22                    22
    broadcast                         |   29                    29
    gpuarrays/input output            |    5                     5
    gpuarrays/indexing scalar         |  249                   249
    cufft                             |  175                   175
    gpuarrays/interface               |    7                     7
    cusolver/cusparse                 |   84                    84
    gpuarrays/value constructors      |   36                    36
    gpuarrays/iterator constructors   |   24                    24
    execution                         |   65                    65
    gpuarrays/constructors            |  335                   335
    gpuarrays/conversions             |   72                    72
    gpuarrays/uniformscaling          |   56                    56
    gpuarrays/indexing multidimensional |   34                    34
    cusparse                          |  630                   630
    texture                           |   38              4     42
    gpuarrays/base                    |   39                    39
    gpuarrays/random                  |   46                    46
    array                             |  180                   180
    cudnn                             |  147                   147
    forwarddiff                       |  107                   107
    cusolver                          | 1580                  1580
    exceptions                        |   17                    17
    cublas                            | 1908      1           1909
    gpuarrays/broadcasting            |  155                   155
    gpuarrays/linear algebra          |  389                   389
    device/intrinsics                 |  250                   250
    examples                          |    7                     7
    gpuarrays/mapreduce essentials    |  522                   522
    gpuarrays/mapreduce derivatives   |  827                   827
    FAILURE

Error in testset cublas:
Error During Test at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:1250
  Got exception outside of a @test
  CUBLASError: an absent device architectural feature is required (code 8, CUBLAS_STATUS_ARCH_MISMATCH)
  Stacktrace:
   [1] throw_api_error(::CUDA.CUBLAS.cublasStatus_t) at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/error.jl:47
   [2] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/error.jl:58 [inlined]
   [3] cublasGemmEx(::Ptr{Nothing}, ::Char, ::Char, ::Int64, ::Int64, ::Int64, ::Base.RefValue{Float16}, ::CuArray{Float16,2}, ::Type{T} where T, ::Int64, ::CuArray{Float16,2}, ::Type{T} where T, ::Int64, ::Base.RefValue{Float16}, ::CuArray{Float16,2}, ::Type{T} where T, ::Int64, ::CUDA.CUBLAS.cublasComputeType_t, ::CUDA.CUBLAS.cublasGemmAlgo_t) at /home/me/.julia/packages/CUDA/YeS8q/lib/utils/call.jl:93
   [4] gemmEx!(::Char, ::Char, ::Number, ::Union{CuArray{T,1}, CuArray{T,2}} where T, ::Union{CuArray{T,1}, CuArray{T,2}} where T, ::Number, ::Union{CuArray{T,1}, CuArray{T,2}} where T; algo::CUDA.CUBLAS.cublasGemmAlgo_t) at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/wrappers.jl:836
   [5] gemmEx! at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/wrappers.jl:818 [inlined]
   [6] gemm_dispatch!(::CuArray{Float16,2}, ::CuArray{Float16,2}, ::CuArray{Float16,2}, ::Bool, ::Bool) at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/linalg.jl:216
   [7] mul! at /home/me/.julia/packages/CUDA/YeS8q/lib/cublas/linalg.jl:227 [inlined]
   [8] mul!(::CuArray{Float16,2}, ::CuArray{Float16,2}, ::CuArray{Float16,2}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/LinearAlgebra/src/matmul.jl:208
   [9] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:1275
   [10] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
   [11] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:1251
   [12] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115
   [13] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/cublas.jl:438
   [14] include(::String) at ./client.jl:457
   [15] #9 at /home/me/.julia/packages/CUDA/YeS8q/test/runtests.jl:78 [inlined]
   [16] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:47 [inlined]
   [17] macro expansion at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
   [18] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:47 [inlined]
   [19] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/src/utilities.jl:35 [inlined]
   [20] macro expansion at /home/me/.julia/packages/CUDA/YeS8q/src/pool.jl:564 [inlined]
   [21] top-level scope at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:46
   [22] eval at ./boot.jl:331 [inlined]
   [23] runtests(::Function, ::String, ::Symbol, ::Nothing) at /home/me/.julia/packages/CUDA/YeS8q/test/setup.jl:58
   [24] (::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}})() at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:294
   [25] run_work_thunk(::Distributed.var"#106#108"{Distributed.CallMsg{:call_fetch}}, ::Bool) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:79
   [26] macro expansion at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:294 [inlined]
   [27] (::Distributed.var"#105#107"{Distributed.CallMsg{:call_fetch},Distributed.MsgHeader,Sockets.TCPSocket})() at ./task.jl:356

ERROR: LoadError: Test run finished with errors
in expression starting at /home/me/.julia/packages/CUDA/YeS8q/test/runtests.jl:483
maleadt commented 3 years ago

Can you run the CUBLAS tests with JULIA_DEBUG=CUBLAS? For example, using:

$ JULIA_DEBUG=CUBLAS julia -e 'using Pkg; Pkg.test("CUDA"; test_args=`cublas`)'

This will generate a lot of output.

mkarikom commented 3 years ago

Thanks @maleadt, please see attached for outputs from the 980ti and 3090. I redirected the output to a file, but after generating a lot of output it appeared to hang, so I killed it manually.
Please let me know if there is anything missing.

output980.txt output3090.txt

maleadt commented 3 years ago

Those logs don't actually contain any test results, they seem to have hung as you describe. Can you try the following instead (you may have to install some of the dependencies here):

julia> ENV["JULIA_DEBUG"] = "CUBLAS"
"CUBLAS"

julia> using CUDA

julia> using LinearAlgebra, Test, BFloat16s

julia> m = 20
20

julia> n = 35
35

julia> k = 13
13

julia> Base.eps(::Type{BFloat16}) = Base.bitcast(BFloat16, 0x3c00)

julia> @testset "mixed-precision matmul" begin
           m,k,n = 4,4,4
           cudaTypes = (Float16, Complex{Float16}, BFloat16, Complex{BFloat16}, Float32, Complex{Float32},
                       Float64, Complex{Float64}, Int8, Complex{Int8}, UInt8, Complex{UInt8},
                       Int16, Complex{Int16}, UInt16, Complex{UInt16}, Int32, Complex{Int32},
                       UInt32, Complex{UInt32}, Int64, Complex{Int64}, UInt64, Complex{UInt64})

           for AT in cudaTypes, CT in cudaTypes
               BT = AT # gemmEx requires identical A and B types

               # we only test combinations of types that are supported by gemmEx
               if CUBLAS.gemmExComputeType(AT, BT, CT, m,k,n) !== nothing
                   A = AT <: BFloat16 ? AT.(rand(m,k)) : rand(AT, m,k)
                   B = BT <: BFloat16 ? BT.(rand(k,n)) : rand(BT, k,n)
                   C = similar(B, CT)
                   mul!(C, A, B)

                   # Base can't do Int8*Int8 without losing accuracy
                   if (AT == Int8 && BT == Int8) || (AT == Complex{Int8} && BT == Complex{Int8})
                       C = CT.(A) * CT.(B)
                   end

                   dA = CuArray(A)
                   dB = CuArray(B)
                   dC = similar(dB, CT)
                   mul!(dC, dA, dB)

                   rtol = Base.rtoldefault(AT, BT, 0)
                   @test C ≈ Array(dC) rtol=rtol
               end
           end
       end
mkarikom commented 3 years ago

ok, thanks. gpu is tied up right now but ill try to post these in a day or so

maleadt commented 3 years ago

And FWIW, after https://github.com/JuliaGPU/CUDA.jl/pull/649 it should now also be possible to run the entire CUBLAS test suite under JULIA_DEBUG, so you can pick either approach.

Talinx commented 3 years ago

I have the same issue. Output of the mixed-precision matmul test: gemmExTestOutput.txt

I found this forum-post, maybe it is related?

Manifest.toml

``` # This file is machine-generated - editing it directly is not advised [[AbstractFFTs]] deps = ["LinearAlgebra"] git-tree-sha1 = "051c95d6836228d120f5f4b984dd5aba1624f716" uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c" version = "0.5.0" [[AbstractTrees]] deps = ["Markdown"] git-tree-sha1 = "33e450545eaf7699da1a6e755f9ea65f14077a45" uuid = "1520ce14-60c1-5f80-bbc7-55ef81b5835c" version = "0.3.3" [[Adapt]] deps = ["LinearAlgebra"] git-tree-sha1 = "ffcfa2d345aaee0ef3d8346a073d5dd03c983ebe" uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e" version = "3.2.0" [[ArrayInterface]] deps = ["IfElse", "LinearAlgebra", "Requires", "SparseArrays"] git-tree-sha1 = "ee07ae00e3cc277dcfa5507ce25be522313ecc3e" uuid = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9" version = "3.1.1" [[Artifacts]] deps = ["Pkg"] git-tree-sha1 = "c30985d8821e0cd73870b17b0ed0ce6dc44cb744" uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33" version = "1.3.0" [[AxisAlgorithms]] deps = ["LinearAlgebra", "Random", "SparseArrays", "WoodburyMatrices"] git-tree-sha1 = "a4d07a1c313392a77042855df46c5f534076fab9" uuid = "13072b0f-2c55-5437-9ae7-d433b7a33950" version = "1.0.0" [[AxisArrays]] deps = ["Dates", "IntervalSets", "IterTools", "RangeArrays"] git-tree-sha1 = "f31f50712cbdf40ee8287f0443b57503e34122ef" uuid = "39de3d68-74b9-583c-8d2d-e117c070f3a9" version = "0.4.3" [[BFloat16s]] deps = ["LinearAlgebra", "Test"] git-tree-sha1 = "4af69e205efc343068dc8722b8dfec1ade89254a" uuid = "ab4f0b2a-ad5b-11e8-123f-65d77653426b" version = "0.1.0" [[BSON]] git-tree-sha1 = "dd36d7cf3d185eeaaf64db902c15174b22f5dafb" uuid = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0" version = "0.2.6" [[Base64]] uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f" [[CEnum]] git-tree-sha1 = "215a9aa4a1f23fbd05b92769fdd62559488d70e9" uuid = "fa961155-64e5-5f13-b03f-caf6b980ea82" version = "0.4.1" [[CSV]] deps = ["Dates", "Mmap", "Parsers", "PooledArrays", "SentinelArrays", "Tables", "Unicode"] git-tree-sha1 = "1f79803452adf73e2d3fc84785adb7aaca14db36" uuid = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b" version = "0.8.3" [[CUDA]] deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CompilerSupportLibraries_jll", "DataStructures", "ExprTools", "GPUArrays", "GPUCompiler", "LLVM", "Libdl", "LinearAlgebra", "Logging", "MacroTools", "NNlib", "Pkg", "Printf", "Random", "Reexport", "Requires", "SparseArrays", "Statistics", "TimerOutputs"] git-tree-sha1 = "6ccc73b2d8b671f7a65c92b5f08f81422ebb7547" pinned = true uuid = "052768ef-5323-5732-b1bb-66c8b64840ba" version = "2.4.1" [[CatIndices]] deps = ["CustomUnitRanges", "OffsetArrays"] git-tree-sha1 = "a0f80a09780eed9b1d106a1bf62041c2efc995bc" uuid = "aafaddc9-749c-510e-ac4f-586e18779b91" version = "0.2.2" [[CategoricalArrays]] deps = ["DataAPI", "Future", "JSON", "Missings", "Printf", "Statistics", "StructTypes", "Unicode"] git-tree-sha1 = "99809999c8ee01fa89498480b147f7394ea5450f" uuid = "324d7699-5711-5eae-9e2f-1d82baa6b597" version = "0.9.2" [[ChainRules]] deps = ["ChainRulesCore", "Compat", "LinearAlgebra", "Random", "Reexport", "Requires", "Statistics"] git-tree-sha1 = "56bbb956a573ac16b277008edb1762ef80076e78" uuid = "082447d4-558c-5d27-93f4-14fc19e9eca2" version = "0.7.50" [[ChainRulesCore]] deps = ["Compat", "LinearAlgebra", "SparseArrays"] git-tree-sha1 = "d3d0a4e0d5bc03a6c97f4d249c8a471fc20a2f33" uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4" version = "0.9.28" [[CodecZlib]] deps = ["TranscodingStreams", "Zlib_jll"] git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da" uuid = "944b1d66-785c-5afd-91f1-9de20f533193" version = "0.7.0" [[ColorTypes]] deps = ["FixedPointNumbers", "Random"] git-tree-sha1 = "4bffea7ed1a9f0f3d1a131bbcd4b925548d75288" uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f" version = "0.10.9" [[ColorVectorSpace]] deps = ["ColorTypes", "Colors", "FixedPointNumbers", "LinearAlgebra", "SpecialFunctions", "Statistics", "StatsBase"] git-tree-sha1 = "4d17724e99f357bfd32afa0a9e2dda2af31a9aea" uuid = "c3611d14-8923-5661-9e6a-0046d554d3a4" version = "0.8.7" 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["IntelOpenMP_jll", "Libdl", "Pkg"] git-tree-sha1 = "eb540ede3aabb8284cb482aa41d00d6ca850b1f8" uuid = "856f044c-d86e-5d09-b602-aeab76dc8ba7" version = "2020.2.254+0" [[MacroTools]] deps = ["Markdown", "Random"] git-tree-sha1 = "6a8a2a625ab0dea913aba95c11370589e0239ff0" uuid = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09" version = "0.5.6" [[MappedArrays]] deps = ["FixedPointNumbers"] git-tree-sha1 = "b92bd220c95a8bbe89af28f11201fd080e0e3fe7" uuid = "dbb5928d-eab1-5f90-85c2-b9b0edb7c900" version = "0.3.0" [[Markdown]] deps = ["Base64"] uuid = "d6f4376e-aef5-505a-96c1-9c027394607a" [[MbedTLS]] deps = ["Dates", "MbedTLS_jll", "Random", "Sockets"] git-tree-sha1 = "1c38e51c3d08ef2278062ebceade0e46cefc96fe" uuid = "739be429-bea8-5141-9913-cc70e7f3736d" version = "1.0.3" [[MbedTLS_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "0eef589dd1c26a3ac9d753fe1a8bcad63f956fa6" uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1" version = "2.16.8+1" [[Media]] deps = ["MacroTools", 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"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" [[Netpbm]] deps = ["ColorVectorSpace", "FileIO", "ImageCore"] git-tree-sha1 = "03472ec5ea8884b791c6340712f3261c0f393691" uuid = "f09324ee-3d7c-5217-9330-fc30815ba969" version = "1.0.0" [[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" [[PNGFiles]] deps = ["Base64", "CEnum", "ImageCore", "IndirectArrays", "OffsetArrays", "libpng_jll"] git-tree-sha1 = "aa6e87a2361c2fe5a63b1a6a4b567f13aa108991" uuid = "f57f5aa1-a3ce-4bc8-8ab9-96f992907883" version = "0.3.5" [[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 = ["Dates", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "UUIDs"] uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" [[Pluto]] deps = ["Base64", "Dates", "Distributed", "FuzzyCompletions", "HTTP", "InteractiveUtils", "Logging", "Markdown", "MsgPack", "Pkg", "REPL", "Sockets", "Tables", "UUIDs"] git-tree-sha1 = "fe1fdbff28f179216a1e756bd5494057b036945f" uuid = "c3e4b0f8-55cb-11ea-2926-15256bba5781" version = "0.12.20" [[PooledArrays]] deps = ["DataAPI"] git-tree-sha1 = "0e8f5c428a41a81cd71f76d76f2fc3415fe5a676" uuid = "2dfb63ee-cc39-5dd5-95bd-886bf059d720" version = "1.1.0" [[PrettyTables]] deps = ["Crayons", "Formatting", "Markdown", "Reexport", "Tables"] git-tree-sha1 = "574a6b3ea95f04e8757c0280bb9c29f1a5e35138" uuid = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d" version = "0.11.1" [[Printf]] deps = ["Unicode"] uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7" [[Profile]] deps = ["Printf"] uuid = "9abbd945-dff8-562f-b5e8-e1ebf5ef1b79" [[REPL]] deps = ["InteractiveUtils", "Markdown", "Sockets"] 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" [[SentinelArrays]] deps = ["Dates", "Random"] git-tree-sha1 = "6ccde405cf0759eba835eb613130723cb8f10ff9" uuid = "91c51154-3ec4-41a3-a24f-3f23e20d615c" version = "1.2.16" [[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" [[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" [[StructTypes]] deps = ["Dates", "UUIDs"] git-tree-sha1 = "65a43f5218197bc7091b76bc273a5e323a1d7b0d" uuid = "856f2bd8-1eba-4b0a-8007-ebc267875bd4" version = "1.2.3" [[TableTraits]] deps = ["IteratorInterfaceExtensions"] git-tree-sha1 = "b1ad568ba658d8cbb3b892ed5380a6f3e781a81e" uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c" version = "1.0.0" [[Tables]] deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "TableTraits", "Test"] git-tree-sha1 = "a716dde43d57fa537a19058d044b495301ba6565" uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c" version = "1.3.2" [[Test]] deps = ["Distributed", "InteractiveUtils", "Logging", "Random"] 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" [[TranscodingStreams]] deps = ["Random", "Test"] git-tree-sha1 = "7c53c35547de1c5b9d46a4797cf6d8253807108c" uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa" version = "0.9.5" [[URIs]] git-tree-sha1 = "7855809b88d7b16e9b029afd17880930626f54a2" uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4" version = "1.2.0" [[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" [[WoodburyMatrices]] deps = ["LinearAlgebra", "SparseArrays"] git-tree-sha1 = "59e2ad8fd1591ea019a5259bd012d7aee15f995c" uuid = "efce3f68-66dc-5838-9240-27a6d6f5f9b6" version = "0.5.3" [[ZipFile]] deps = ["Libdl", "Printf", "Zlib_jll"] git-tree-sha1 = "c3a5637e27e914a7a445b8d0ad063d701931e9f7" uuid = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea" version = "0.9.3" [[Zlib_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "320228915c8debb12cb434c59057290f0834dbf6" uuid = "83775a58-1f1d-513f-b197-d71354ab007a" version = "1.2.11+18" [[Zstd_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "2c1332c54931e83f8f94d310fa447fd743e8d600" uuid = "3161d3a3-bdf6-5164-811a-617609db77b4" version = "1.4.8+0" [[Zygote]] deps = ["AbstractFFTs", "ChainRules", "DiffRules", "Distributed", "FillArrays", "ForwardDiff", "IRTools", "InteractiveUtils", "LinearAlgebra", "MacroTools", "NaNMath", "Random", "Requires", "SpecialFunctions", "Statistics", "ZygoteRules"] git-tree-sha1 = "52835a83f7c899cfcb95f796d584201812887ea8" uuid = "e88e6eb3-aa80-5325-afca-941959d7151f" version = "0.6.3" [[ZygoteRules]] deps = ["MacroTools"] git-tree-sha1 = "9e7a1e8ca60b742e508a315c17eef5211e7fbfd7" uuid = "700de1a5-db45-46bc-99cf-38207098b444" version = "0.2.1" [[libpng_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "6abbc424248097d69c0c87ba50fcb0753f93e0ee" uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f" version = "1.6.37+6" ```

Version info

Details on Julia (compiled Julia from sources, Ubuntu 20.04):

Julia Version 1.5.3
Commit 788b2c77c1 (2020-11-09 13:37 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: AMD Ryzen 9 5950X 16-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, generic)
Environment:
  JULIA_DEBUG = CUBLAS

Details on CUDA:

CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.2.0
NVIDIA driver 460.32.3

Libraries: 
- CUBLAS: 11.4.1
- CURAND: 10.2.2
- CUFFT: 10.3.0
- CUSOLVER: 11.0.1
- CUSPARSE: 11.3.0
- CUPTI: 14.0.0
- NVML: 11.0.0+460.32.3
- CUDNN: 8.0.4 (for CUDA 11.1.0)
- CUTENSOR: 1.2.1 (for CUDA 11.1.0)

Toolchain:
- Julia: 1.5.3
- LLVM: 9.0.1
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4
- Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75

1 device:
  0: GeForce RTX 3090 (sm_86, 22.438 GiB / 23.691 GiB available)
maleadt commented 3 years ago

I found this forum-post, maybe it is related?

No, that post details CUBLAS_STATUS_NOT_SUPPORTED for Int8 multiplication. You are getting CUBLAS_STATUS_ARCH_MISMATCH for a Float16=Float16*Float16 GEMM. This looks like a CUBLAS bug... You could try upgrading to CUDA 11.2 by using the CUDA.jl master branch.

Talinx commented 3 years ago

You could try upgrading to CUDA 11.2 by using the CUDA.jl master branch.

Thank you, that works! (Julia 1.6.0-rc1, CUDA.jl from master, CUDA 11.2.0) ] test CUDA also works now (except 3 from device/intrinsics, same as in https://github.com/JuliaGPU/CUDA.jl/issues/711).

maleadt commented 3 years ago

It looks like several people are running into this, but I don't have a clear debug log yet that points to the failing invocation of gemmEx. So for those with this issue, please run with JULIA_DEBUG=CUBLAS (requires master branch, or compat for 1.5), and please try to reduce to an MWE (i.e. not just running the entire test suite). Comparing CUDA 11.1 to 11.2 (which you can force by starting Julia with JULIA_CUDA_VERSION set to respectively 11.1 or 11.2) would be helpful here too.

cchan commented 3 years ago

Coming here from #722 and feeling silly now because JULIA_CUDA_VERSION=11.2 actually made it work correctly. Not sure why it didn't try to use those artifacts automatically, since everything in my environment has version 11.2 (er, or 11.3). Also, it still doesn't work with the local toolkit. If it helps, here's my info:

repro:

using CUDA
a = CUDA.rand(2,2)
b = CUDA.rand(2,2)
a * b

Notably, a+b works fine.

Environment info:

$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Jan_28_19:32:09_PST_2021
Cuda compilation tools, release 11.2, V11.2.142
Build cuda_11.2.r11.2/compiler.29558016_0
$ nvdisasm --version
nvdisasm: NVIDIA (R) CUDA disassembler
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Tue_Jan_19_19:22:01_PST_2021
Cuda compilation tools, release 11.2, V11.2.135
Build cuda_11.2.r11.2/compiler.29518894_0
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.51       Driver Version: 465.51       CUDA Version: 11.3     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ... WDDM  | 00000000:09:00.0  On |                  N/A |
|  0%   53C    P8     9W / 175W |   2975MiB /  8192MiB |      1%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
julia> CUDA.version()
v"11.3.0"

Using 11.2:

$ JULIA_CUDA_VERSION=11.2 JULIA_DEBUG=CUBLAS julia src/test.jl
  Downloaded artifact: CUDA112
I! cuBLAS (v11.2) function cublasStatus_t cublasCreate_v2(cublasContext**) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0x7ffd10a64930)
i! Time: 2021-02-19T07:13:36 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14055; Thread=140220191823680; GPU=0; Handle=POINTER (IN HEX:0x(nil))
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.2) function cublasStatus_t cublasSetStream_v2(cublasHandle_t, cudaStream_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xa8af7b0)
i!  streamId: type=SOME TYPE; val=POINTER (IN HEX:0x0x2)
i! Time: 2021-02-19T07:13:36 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14055; Thread=140220191823680; GPU=0; Handle=POINTER (IN HEX:0x0xa8af7b0); StreamId=POINTER (IN HEX:0x(nil)) (defaultStream); MathMode=CUBLAS_DEFAULT_MATH
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.2) function cublasStatus_t cublasSetWorkspace_v2(cublasHandle_t, void*, size_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xa8af7b0)
i!  workspace: type=void; val=POINTER (IN HEX:0x0x70fd60000)
i!  workspaceSizeInBytes: type=SOME TYPE; val=4194304
i! Time: 2021-02-19T07:13:36 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14055; Thread=140220191823680; GPU=0; Handle=POINTER (IN HEX:0x0xa8af7b0); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.2) function cublasStatus_t cublasSetMathMode(cublasHandle_t, cublasMath_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xa8af7b0)
i!  mode: type=cublasMath_t; val=CUBLAS_DEFAULT_MATH | CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION(16)
i! Time: 2021-02-19T07:13:36 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14055; Thread=140220191823680; GPU=0; Handle=POINTER (IN HEX:0x0xa8af7b0); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.2) function cublasStatus_t cublasGemmEx(cublasHandle_t, cublasOperation_t, cublasOperation_t, int, int, int, const void*, const void*, cudaDataType_t, int, const void*, cudaDataType_t, int, const void*, void*, cudaDataType_t, int, cublasComputeType_t, cublasGemmAlgo_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xa8af7b0)
i!  transa: type=cublasOperation_t; val=CUBLAS_OP_N(0)
i!  transb: type=cublasOperation_t; val=CUBLAS_OP_N(0)
i!  m: type=int; val=2
i!  n: type=int; val=2
i!  k: type=int; val=2
i!  alpha: type=void; val=POINTER (IN HEX:0x0x7f871ad2c290)
i!  A: type=void; val=POINTER (IN HEX:0x0x705790000)
i!  Atype: type=cudaDataType_t; val=CUDA_R_32F(0)
i!  lda: type=int; val=2
i!  B: type=void; val=POINTER (IN HEX:0x0x705790200)
i!  Btype: type=cudaDataType_t; val=CUDA_R_32F(0)
i!  ldb: type=int; val=2
i!  beta: type=void; val=POINTER (IN HEX:0x0x7f871ad2c2a0)
i!  C: type=void; val=POINTER (IN HEX:0x0x705790400)
i!  Ctype: type=cudaDataType_t; val=CUDA_R_32F(0)
i!  ldc: type=int; val=2
i!  computeType: type=cublasComputeType_t; val=CUBLAS_COMPUTE_32F(68)
i!  algo: type=SOME TYPE; val=CUBLAS_GEMM_DEFAULT(-1)
i! Time: 2021-02-19T07:13:36 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14055; Thread=140220191823680; GPU=0; Handle=POINTER (IN HEX:0x0xa8af7b0); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH | CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.2) function cublasStatus_t cublasDestroy_v2(cublasHandle_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xa8af7b0)
i! Time: 2021-02-19T07:13:37 elapsed from start 0.050000 minutes or 3.000000 seconds
i!Process=14055; Thread=140220191823680; GPU=0; Handle=POINTER (IN HEX:0x0xa8af7b0); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH | CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)

Using 11.1:

$ JULIA_CUDA_VERSION=11.1 JULIA_DEBUG=CUBLAS julia src/test.jl
I! cuBLAS (v11.1) function cublasStatus_t cublasCreate_v2(cublasContext**) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0x7fff4e976470)
i! Time: 2021-02-19T07:11:27 elapsed from start 0.016667 minutes or 1.000000 seconds
i!Process=14012; Thread=139705143056192; GPU=0; Handle=POINTER (IN HEX:0x(nil))
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.1) function cublasStatus_t cublasSetStream_v2(cublasHandle_t, cudaStream_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xbd23810)
i!  streamId: type=SOME TYPE; val=POINTER (IN HEX:0x0x2)
i! Time: 2021-02-19T07:11:28 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14012; Thread=139705143056192; GPU=0; Handle=POINTER (IN HEX:0x0xbd23810); StreamId=POINTER (IN HEX:0x(nil)) (defaultStream); MathMode=CUBLAS_DEFAULT_MATH
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.1) function cublasStatus_t cublasSetWorkspace_v2(cublasHandle_t, void*, size_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xbd23810)
i!  workspace: type=void; val=POINTER (IN HEX:0x0x70fd60000)
i!  workspaceSizeInBytes: type=SOME TYPE; val=4194304
i! Time: 2021-02-19T07:11:28 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14012; Thread=139705143056192; GPU=0; Handle=POINTER (IN HEX:0x0xbd23810); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.1) function cublasStatus_t cublasSetMathMode(cublasHandle_t, cublasMath_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xbd23810)
i!  mode: type=cublasMath_t; val=CUBLAS_DEFAULT_MATH | CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION(16)
i! Time: 2021-02-19T07:11:28 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14012; Thread=139705143056192; GPU=0; Handle=POINTER (IN HEX:0x0xbd23810); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
I! cuBLAS (v11.1) function cublasStatus_t cublasGemmEx(cublasHandle_t, cublasOperation_t, cublasOperation_t, int, int, int, const void*, const void*, cudaDataType_t, int, const void*, cudaDataType_t, int, const void*, void*, cudaDataType_t, int, cublasComputeType_t, cublasGemmAlgo_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xbd23810)
i!  transa: type=cublasOperation_t; val=CUBLAS_OP_N(0)
i!  transb: type=cublasOperation_t; val=CUBLAS_OP_N(0)
i!  m: type=int; val=2
i!  n: type=int; val=2
i!  k: type=int; val=2
i!  alpha: type=void; val=POINTER (IN HEX:0x0x7f0f2968b720)
i!  A: type=void; val=POINTER (IN HEX:0x0x705790000)
i!  Atype: type=cudaDataType_t; val=CUDA_R_32F(0)
i!  B: type=void; val=POINTER (IN HEX:0x0x705790200)
i!  Btype: type=cudaDataType_t; val=CUDA_R_32F(0)
i!  ldb: type=int; val=2
i!  beta: type=void; val=POINTER (IN HEX:0x0x7f0f2968b730)
i!  C: type=void; val=POINTER (IN HEX:0x0x705790400)
i!  Ctype: type=cudaDataType_t; val=CUDA_R_32F(0)
i!  ldc: type=int; val=2
i!  computeType: type=cublasComputeType_t; val=CUBLAS_COMPUTE_32F(68)
i!  algo: type=SOME TYPE; val=CUBLAS_GEMM_DEFAULT(-1)
i! Time: 2021-02-19T07:11:28 elapsed from start 0.033333 minutes or 2.000000 seconds
i!Process=14012; Thread=139705143056192; GPU=0; Handle=POINTER (IN HEX:0x0xbd23810); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH | CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)
ERROR: LoadError: CUBLASError: an absent device architectural feature is required (code 8, CUBLAS_STATUS_ARCH_MISMATCH)
Stacktrace:
  [1] throw_api_error(res::CUDA.CUBLAS.cublasStatus_t)
    @ CUDA.CUBLAS ~/.julia/packages/CUDA/Zmd60/lib/cublas/error.jl:47
  [2] macro expansion
    @ ~/.julia/packages/CUDA/Zmd60/lib/cublas/error.jl:58 [inlined]
  [3] cublasGemmEx(handle::Ptr{Nothing}, transa::Char, transb::Char, m::Int64, n::Int64, k::Int64, alpha::Base.RefValue{Float32}, A::CuArray{Float32, 2}, Atype::Type, lda::Int64, B::CuArray{Float32, 2}, Btype::Type, ldb::Int64, beta::Base.RefValue{Float32}, C::CuArray{Float32, 2}, Ctype::Type, ldc::Int64, computeType::CUDA.CUBLAS.cublasComputeType_t, algo::CUDA.CUBLAS.cublasGemmAlgo_t)
    @ CUDA.CUBLAS ~/.julia/packages/CUDA/Zmd60/lib/utils/call.jl:26
  [4] gemmEx!(transA::Char, transB::Char, alpha::Number, A::Union{CuVecOrMat{T}, DenseCuVecOrMat{T}} where T, B::Union{CuVecOrMat{T}, DenseCuVecOrMat{T}} where T, beta::Number, C::Union{CuVecOrMat{T}, DenseCuVecOrMat{T}} where T; algo::CUDA.CUBLAS.cublasGemmAlgo_t)
    @ CUDA.CUBLAS ~/.julia/packages/CUDA/Zmd60/lib/cublas/wrappers.jl:837
  [5] gemmEx!
    @ ~/.julia/packages/CUDA/Zmd60/lib/cublas/wrappers.jl:819 [inlined]
  [6] gemm_dispatch!(C::CuArray{Float32, 2}, A::CuArray{Float32, 2}, B::CuArray{Float32, 2}, alpha::Bool, beta::Bool)
    @ CUDA.CUBLAS ~/.julia/packages/CUDA/Zmd60/lib/cublas/linalg.jl:222
  [7] mul!
    @ ~/.julia/packages/CUDA/Zmd60/lib/cublas/linalg.jl:233 [inlined]
  [8] mul!
    @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/matmul.jl:275 [inlined]
  [9] *(A::CuArray{Float32, 2}, B::CuArray{Float32, 2})
    @ LinearAlgebra /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/matmul.jl:160
 [10] top-level scope
    @ [...]/src/test.jl:4
in expression starting at [...]/src/test.jl:4
I! cuBLAS (v11.1) function cublasStatus_t cublasDestroy_v2(cublasHandle_t) called:
i!  handle: type=cublasHandle_t; val=POINTER (IN HEX:0x0xbd23810)
i! Time: 2021-02-19T07:11:29 elapsed from start 0.050000 minutes or 3.000000 seconds
i!Process=14012; Thread=139705143056192; GPU=0; Handle=POINTER (IN HEX:0x0xbd23810); StreamId=POINTER (IN HEX:0x0x2); MathMode=CUBLAS_DEFAULT_MATH | CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION
i! COMPILED WITH: GNU GCC/G++ / 5.3.1 20160406 (Red Hat 5.3.1-6)

Using local 11.2 toolkit:

$ JULIA_CUDA_USE_BINARYBUILDER=false JULIA_DEBUG=CUBLAS julia src/test.jl
┌ Error: Error during initialization of CUDA.jl
│   exception =
│    CUDA.jl does not yet support CUDA with nvdisasm 11.2.135; please file an issue.
│    Stacktrace:
│      [1] error(s::String)
│        @ Base ./error.jl:33
│      [2] parse_toolkit_version(tool::String, tool_path::String)
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/deps/discovery.jl:411
│      [3] use_local_cuda()
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/deps/bindeps.jl:218
│      [4] __init_dependencies__()
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/deps/bindeps.jl:384
│      [5] __runtime_init__()
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:103
│      [6] macro expansion
│        @ ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:32 [inlined]
│      [7] macro expansion
│        @ ./lock.jl:209 [inlined]
│      [8] _functional(show_reason::Bool)
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:26
│      [9] functional(show_reason::Bool)
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:19
│     [10] libcuda()
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:47
│     [11] macro expansion
│        @ ~/.julia/packages/CUDA/Zmd60/lib/cudadrv/libcuda.jl:29 [inlined]
│     [12] macro expansion
│        @ ~/.julia/packages/CUDA/Zmd60/lib/cudadrv/error.jl:102 [inlined]
│     [13] cuDeviceGet
│        @ ~/.julia/packages/CUDA/Zmd60/lib/utils/call.jl:26 [inlined]
│     [14] CuDevice
│        @ ~/.julia/packages/CUDA/Zmd60/lib/cudadrv/devices.jl:25 [inlined]
│     [15] initialize_thread(tid::Int64)
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/src/state.jl:121
│     [16] prepare_cuda_call
│        @ ~/.julia/packages/CUDA/Zmd60/src/state.jl:80 [inlined]
│     [17] context
│        @ ~/.julia/packages/CUDA/Zmd60/src/state.jl:142 [inlined]
│     [18] default_rng()
│        @ CUDA.CURAND ~/.julia/packages/CUDA/Zmd60/lib/curand/CURAND.jl:32
│     [19] rand(dim1::Int64, dims::Int64)
│        @ CUDA ~/.julia/packages/CUDA/Zmd60/src/random.jl:70
│     [20] top-level scope
│        @ [...]/src/test.jl:2
│     [21] include(mod::Module, _path::String)
│        @ Base ./Base.jl:386
│     [22] exec_options(opts::Base.JLOptions)
│        @ Base ./client.jl:285
│     [23] _start()
│        @ Base ./client.jl:485
└ @ CUDA ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:34
ERROR: LoadError: CUDA.jl did not successfully initialize, and is not usable.
If you did not see any other error message, try again in a new session
with the JULIA_DEBUG environment variable set to 'CUDA'.
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:33
  [2] libcuda()
    @ CUDA ~/.julia/packages/CUDA/Zmd60/src/initialization.jl:48
  [3] macro expansion
    @ ~/.julia/packages/CUDA/Zmd60/lib/cudadrv/libcuda.jl:29 [inlined]
  [4] macro expansion
    @ ~/.julia/packages/CUDA/Zmd60/lib/cudadrv/error.jl:102 [inlined]
  [5] cuDeviceGet
    @ ~/.julia/packages/CUDA/Zmd60/lib/utils/call.jl:26 [inlined]
  [6] CuDevice
    @ ~/.julia/packages/CUDA/Zmd60/lib/cudadrv/devices.jl:25 [inlined]
  [7] initialize_thread(tid::Int64)
    @ CUDA ~/.julia/packages/CUDA/Zmd60/src/state.jl:121
  [8] prepare_cuda_call
    @ ~/.julia/packages/CUDA/Zmd60/src/state.jl:80 [inlined]
  [9] context
    @ ~/.julia/packages/CUDA/Zmd60/src/state.jl:142 [inlined]
 [10] default_rng()
    @ CUDA.CURAND ~/.julia/packages/CUDA/Zmd60/lib/curand/CURAND.jl:32
 [11] rand(dim1::Int64, dims::Int64)
    @ CUDA ~/.julia/packages/CUDA/Zmd60/src/random.jl:70
 [12] top-level scope
    @ [...]/src/test.jl:2
in expression starting at [...]/src/test.jl:2
maleadt commented 3 years ago

Well this is absurd; a plain Float32-based GEMM with no special flags seems to be failing here. Could you list your CUDA.versioninfo()? The nvidia-smi output is truncated and I can't see which GPU you have.

The fact that your local CUDA toolkit 11.2 Update 1 doesn't work is expected; support for that version of CUDA only lives on the CUDA.jl master branch (so you could try ]add CUDA#master). Similarly, released versions of CUDA.jl don't have the necessary CUDNN artifacts for CUDA 11.2 yet, so it doesn't auto-select that version (unless you force it using environment variables, as you noticed).

cchan commented 3 years ago

Oh okay, thanks for the explanation!

Without setting any environment variables, this is what gets installed by default:

julia> CUDA.versioninfo()
CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.3.0
NVIDIA driver 465.51.0

Libraries: 
- CUBLAS: 11.4.1
- CURAND: 10.2.2
- CUFFT: 10.3.0
- CUSOLVER: 11.0.1
- CUSPARSE: 11.3.0
- CUPTI: 14.0.0
- NVML: 11.0.0+465.0
- CUDNN: 8.0.4 (for CUDA 11.1.0)
- CUTENSOR: 1.2.1 (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

1 device:
  0: NVIDIA GeForce RTX 2070 (sm_75, 5.745 GiB / 8.000 GiB available)

Setting JULIA_CUDA_VERSION=11.2 gives this working setup:

julia> CUDA.versioninfo()
CUDA toolkit 11.2.0, artifact installation
CUDA driver 11.3.0
NVIDIA driver 465.51.0

Libraries: 
- CUBLAS: 11.4.1
- CURAND: 10.2.3
- CUFFT: 10.4.0
- CUSOLVER: 11.0.2
- CUSPARSE: 11.3.1
- CUPTI: 14.0.0
- NVML: 11.0.0+465.0
- CUDNN: missing
- CUTENSOR: missing

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

Environment:
- JULIA_CUDA_VERSION: 11.2

1 device:
  0: NVIDIA GeForce RTX 2070 (sm_75, 5.745 GiB / 8.000 GiB available)

Interestingly, some of the libraries have different version numbers but CUBLAS is not one of them.

... even more interestingly the CUDNN and CUTENSOR are missing in the working setup lmao. Is it using the system-installed CUDNN/CUTENSOR in that case? That might explain it since I'm on driver 11.3.

maleadt commented 3 years ago

... even more interestingly the CUDNN and CUTENSOR are missing in the working setup lmao

That's what I meant with:

Similarly, released versions of CUDA.jl don't have the necessary CUDNN artifacts for CUDA 11.2 yet, so it doesn't auto-select that version (unless you force it using environment variables, as you noticed).

But yeah it's funny that CUBLAS doesn't change between 11.2 and 11.2... That's not correct; what I get from the release notes is encoded here: https://github.com/JuliaGPU/CUDA.jl/blob/a34e69e7d8bc8d82f7e81559cbb6f059c5b57f88/deps/discovery.jl#L204-L231

And indeed I get:

$ JULIA_CUDA_VERSION=11.1 jl                                                                                                                                                                             [master] 
julia> using CUDA
C[ Info: Precompiling CUDA [052768ef-5323-5732-b1bb-66c8b64840ba]
UDA.versioninfo()

julia> CUDA.versioninfo()
  Downloaded artifact: CUDNN_CUDA111
  Downloaded artifact: CUTENSOR_CUDA111
CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.2.0
NVIDIA driver 460.39.0

Libraries: 
- CUBLAS: 11.3.0
- CURAND: 10.2.2
- CUFFT: 10.3.0
- CUSOLVER: 11.0.1
- CUSPARSE: 11.3.0
- CUPTI: 14.0.0
- NVML: 11.0.0+460.39
- CUDNN: 8.10.0 (for CUDA 11.2.0)
- CUTENSOR: 1.2.2 (for CUDA 11.1.0)

I wonder if its picking up libcublas from anywhere else. Could you @show CUDA.libcublas()? It should be a symlink to libcublas.so.11.3.0.106 from the artifact with hash 48c41dccb8db0c9aa9483267cb33719207abe4c1.

cchan commented 3 years ago

Ah that makes sense, I'm getting CUBLAS to work at the cost of no CUDNN/CUTENSOR availability.

And indeed libcublas is exactly as you say:

julia> @show CUDA.libcublas()
CUDA.libcublas() = "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublas.so.11"
"/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublas.so.11"
$ ls -la /home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublas.so.11
lrwxrwxrwx 1 clive clive 23 Feb 18 17:43 /home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublas.so.11 -> libcublas.so.11.3.0.106

And yet we still have CUBLAS: 11.4.1 :/

maleadt commented 3 years ago

Can you show the output of Libdl.dllist() after having queried the version?

cchan commented 3 years ago

edit: all 62 elements of the vector

It's picking up the right libcublas but also libcublasLt?

julia> show(stdout, "text/plain",Libdl.dllist())
62-element Vector{String}:
 "linux-vdso.so.1"
 "/usr/lib/x86_64-linux-gnu/libdl.so.2"
 "/usr/lib/x86_64-linux-gnu/libpthread.so.0"
 "/usr/lib/x86_64-linux-gnu/libc.so.6"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/libjulia.so.1"
 "/lib64/ld-linux-x86-64.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libgcc_s.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libopenlibm.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libjulia-internal.so.1"
 "/usr/lib/x86_64-linux-gnu/libunwind.so.8"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libLLVM-11jl.so"
 "/usr/lib/x86_64-linux-gnu/librt.so.1"
 "/usr/lib/x86_64-linux-gnu/libstdc++.so.6"
 "/usr/lib/x86_64-linux-gnu/libm.so.6"
 "/usr/lib/x86_64-linux-gnu/liblzma.so.5"
 "/home/clive/packages/julias/julia-1.6/lib/julia/sys.so"
 "/usr/lib/x86_64-linux-gnu/libatomic.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libpcre2-8.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libgmp.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmpfr.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libopenblas64_.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libgfortran.so.4"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libquadmath.so.0"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcholmod.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcolamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libsuitesparseconfig.so.5"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libccolamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libsuitesparse_wrapper.so"
 "/usr/lib/x86_64-linux-gnu/libnghttp2.so.14"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcurl.so"
 "/usr/lib/x86_64-linux-gnu/libssh2.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmbedtls.so.13"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmbedx509.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmbedcrypto.so.5"
 "/usr/lib/x86_64-linux-gnu/libz.so.1"
 "/usr/lib/x86_64-linux-gnu/libgcrypt.so.20"
 "/usr/lib/x86_64-linux-gnu/libgpg-error.so.0"
 "/usr/lib/x86_64-linux-gnu/libgomp.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libdSFMT.so"
 "/mnt/c/Windows/System32/lxss/lib/libcuda.so.1"
 "/mnt/c/Windows/System32/lxss/lib/libdxcore.so"
 "/usr/lib/wsl/drivers/nv_dispi.inf_amd64_cc769de64b941e9c/libcuda.so.1.1"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublas.so.11"
 "/usr/local/cuda/lib64/libcublasLt.so.11"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcusparse.so.11"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcusolver.so.11"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcufft.so.10"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcurand.so.10"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_ops_infer.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_ops_train.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_cnn_infer.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_cnn_train.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_adv_infer.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_adv_train.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn.so.8"
 "/home/clive/.julia/artifacts/ac25f8a4fc72584e696bd007b229fd2921b34062/lib/libcutensor.so.1"
 "/mnt/c/Windows/System32/lxss/lib/libnvidia-ml.so.1"
 "/usr/lib/wsl/drivers/nv_dispi.inf_amd64_cc769de64b941e9c/libnvidia-ml.so.1"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcupti.so.2020.2.1"
 "/usr/lib/x86_64-linux-gnu/libutil.so.1"
maleadt commented 3 years ago

"/usr/local/cuda/lib64/libcublasLt.so.11" being loaded isn't OK, that's probably why @jonathan-laurent has been seeing cublasLt-related symbol errors... What happens if you Libdl.dlopen("/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublasLt.so.11") before loading CUDA and calling versioninfo()?

cchan commented 3 years ago

It works :)

julia> using Libdl

julia> Libdl.dlopen("/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublasLt.so.11")
Ptr{Nothing} @0x00000000017f76a0

julia> using CUDA

julia> CUDA.versioninfo()
CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.3.0
NVIDIA driver 465.51.0

Libraries: 
- CUBLAS: 11.3.0
- CURAND: 10.2.2
- CUFFT: 10.3.0
- CUSOLVER: 11.0.1
- CUSPARSE: 11.3.0
- CUPTI: 14.0.0
- NVML: 11.0.0+465.0
- CUDNN: 8.0.4 (for CUDA 11.1.0)
- CUTENSOR: 1.2.1 (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

1 device:
  0: NVIDIA GeForce RTX 2070 (sm_75, 6.018 GiB / 8.000 GiB available)

julia> show(stdout, "text/plain", Libdl.dllist())
62-element Vector{String}:
 "linux-vdso.so.1"
 "/usr/lib/x86_64-linux-gnu/libdl.so.2"
 "/usr/lib/x86_64-linux-gnu/libpthread.so.0"
 "/usr/lib/x86_64-linux-gnu/libc.so.6"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/libjulia.so.1"
 "/lib64/ld-linux-x86-64.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libgcc_s.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libopenlibm.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libjulia-internal.so.1"
 "/usr/lib/x86_64-linux-gnu/libunwind.so.8"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libLLVM-11jl.so"
 "/usr/lib/x86_64-linux-gnu/librt.so.1"
 "/usr/lib/x86_64-linux-gnu/libstdc++.so.6"
 "/usr/lib/x86_64-linux-gnu/libm.so.6"
 "/usr/lib/x86_64-linux-gnu/liblzma.so.5"
 "/home/clive/packages/julias/julia-1.6/lib/julia/sys.so"
 "/usr/lib/x86_64-linux-gnu/libatomic.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libpcre2-8.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libgmp.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmpfr.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libopenblas64_.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libgfortran.so.4"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libquadmath.so.0"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcholmod.so"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcolamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libsuitesparseconfig.so.5"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libccolamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcamd.so.2"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libsuitesparse_wrapper.so"
 "/usr/lib/x86_64-linux-gnu/libnghttp2.so.14"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libcurl.so"
 "/usr/lib/x86_64-linux-gnu/libssh2.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmbedtls.so.13"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmbedx509.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libmbedcrypto.so.5"
 "/usr/lib/x86_64-linux-gnu/libz.so.1"
 "/usr/lib/x86_64-linux-gnu/libgcrypt.so.20"
 "/usr/lib/x86_64-linux-gnu/libgpg-error.so.0"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublasLt.so.11"
 "/usr/lib/x86_64-linux-gnu/libgomp.so.1"
 "/home/clive/packages/julias/julia-1.6/bin/../lib/julia/libdSFMT.so"
 "/mnt/c/Windows/System32/lxss/lib/libcuda.so.1"
 "/mnt/c/Windows/System32/lxss/lib/libdxcore.so"
 "/usr/lib/wsl/drivers/nv_dispi.inf_amd64_cc769de64b941e9c/libcuda.so.1.1"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcublas.so.11"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcusparse.so.11"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcusolver.so.11"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcufft.so.10"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcurand.so.10"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_ops_infer.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_ops_train.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_cnn_infer.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_cnn_train.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_adv_infer.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn_adv_train.so.8"
 "/home/clive/.julia/artifacts/c1f953962cc13e4a55f7b2333fb212e7f5c08817/lib/libcudnn.so.8"
 "/home/clive/.julia/artifacts/ac25f8a4fc72584e696bd007b229fd2921b34062/lib/libcutensor.so.1"
 "/mnt/c/Windows/System32/lxss/lib/libnvidia-ml.so.1"
 "/usr/lib/wsl/drivers/nv_dispi.inf_amd64_cc769de64b941e9c/libnvidia-ml.so.1"
 "/home/clive/.julia/artifacts/48c41dccb8db0c9aa9483267cb33719207abe4c1/lib/libcupti.so.2020.2.1"
 "/usr/lib/x86_64-linux-gnu/libutil.so.1"

julia> a = CUDA.rand(2,2)
2×2 CuArray{Float32, 2}:
b 0.608778  0.680285
 0.60226   0.923604

julia> b = CUDA.rand(2,2)
2×2 CuArray{Float32, 2}:
 0.40192   0.874944
 0.537889  0.7374

julia> a * b
2×2 CuArray{Float32, 2}:
 0.610598  1.03429
 0.738857  1.20801
maleadt commented 3 years ago

Thanks for the confirmation, I've pushed a similar fix here: https://github.com/JuliaGPU/CUDA.jl/pull/729. Could you please test?

cchan commented 3 years ago

Probably dumb question, but how do I test this at the head of the repo? An update CUDA didn't seem to have an effect.

jonathan-laurent commented 3 years ago

@cchan You probably want to do ]add CUDA#master.

cchan commented 3 years ago

Ah works great now 😋 Specifically, since it seems like 11.2 is now the default if it's available, creating arrays and multiplying on 11.2 works fine by default; besides that switching using ENV to 11.1 also works fine.