Closed albertomercurio closed 2 weeks ago
To debug this, I would step through the execution and figure out why this doesn't dispatch to either the generic GPUArrays' version, or the optimized CUBLAS ones, both of which are invoked from here: https://github.com/JuliaGPU/CUDA.jl/blob/e1e5be2b6bf17f03a367cebeb18c4645e593f80d/lib/cublas/linalg.jl#L285-L330
Ok, the problem is that the view
is not a CuVector
, but it is an AbstractVector
@view(prova1[1, 1:10]) # 10-element view(::CuArray{Int64, 2, CUDA.DeviceMemory}, 1, 1:10) with eltype Int64
@view(prova1[1, 1:10]) isa AbstractVector # true
@view(prova1[1, 1:10]) isa CuVector # false
Is this because the indices [1, 1:10]
creates a view of a non-strided vector?
Moreover, I noticed that the view
of a CuVector
remains a CuVector
instead of a view(::CuArray{Int64, 1, CUDA.DeviceMemory}, 1:10)
for example
my_vec = CUDA.rand(Int, 100)
@view(my_vec[1:10]) # 10-element CuArray{Int64, 1, CUDA.DeviceMemory}
Following this, the view(prova1[1:10, 1])
with inverse indices generates a CuVector
, and the method works.
I also noticed that, making a view of the vector using a vector of indices, instead of a UnitRange
, then I get a view.
I don't think that's the problem. You have to check against CuStridedVecOrMat
, which includes certain SubArray
s. I'm not too familiar with how LinearAlgebra unwraps the wrappers here, but some is not correctly getting unwrapped here, resulting in dispatch falling back to the Base implementation. Maybe @dkarrasch has a quick thought?
One would need the stacktrace of the non-working cases, to see the call path. Then we'd get an idea which dispatch is failing. And yes, CuStridedVecOrMat
is the thing to check.
julia> mul!(@view(prova1[1, 1:10]), transpose(@view(prova2[1:10, 1:10])), @view(prova3[1:10]))
ERROR: Scalar indexing is disallowed.
Invocation of getindex resulted in scalar indexing of a GPU array.
This is typically caused by calling an iterating implementation of a method.
Such implementations *do not* execute on the GPU, but very slowly on the CPU,
and therefore should be avoided.
If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
to enable scalar iteration globally or for the operations in question.
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:35
[2] errorscalar(op::String)
@ GPUArraysCore ~/Julia/pkg/GPUArrays/lib/GPUArraysCore/src/GPUArraysCore.jl:155
[3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
@ GPUArraysCore ~/Julia/pkg/GPUArrays/lib/GPUArraysCore/src/GPUArraysCore.jl:128
[4] assertscalar(op::String)
@ GPUArraysCore ~/Julia/pkg/GPUArrays/lib/GPUArraysCore/src/GPUArraysCore.jl:116
[5] getindex(A::CuArray{Int64, 2, CUDA.DeviceMemory}, I::Int64)
@ GPUArrays ~/Julia/pkg/GPUArrays/src/host/indexing.jl:48
[6] scalar_getindex
@ ~/Julia/pkg/GPUArrays/src/host/indexing.jl:34 [inlined]
[7] _getindex
@ ~/Julia/pkg/GPUArrays/src/host/indexing.jl:17 [inlined]
[8] getindex
@ ~/Julia/pkg/GPUArrays/src/host/indexing.jl:15 [inlined]
[9] getindex
@ ./subarray.jl:290 [inlined]
[10] _getindex
@ ./abstractarray.jl:1336 [inlined]
[11] getindex
@ ./abstractarray.jl:1291 [inlined]
[12] _generic_matvecmul!(C::SubArray{Int64, 1, CuArray{Int64, 2, CUDA.DeviceMemory}, Tuple{Int64, UnitRange{Int64}}, true}, tA::Char, A::SubArray{Int64, 2, CuArray{Int64, 2, CUDA.DeviceMemory}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, B::CuArray{Int64, 1, CUDA.DeviceMemory}, _add::LinearAlgebra.MulAddMul{true, true, Bool, Bool})
@ LinearAlgebra ~/Julia/depot/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/LinearAlgebra/src/matmul.jl:714
[13] generic_matvecmul!
@ ~/Julia/depot/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/LinearAlgebra/src/matmul.jl:687 [inlined]
[14] mul!
@ ~/Julia/depot/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/LinearAlgebra/src/matmul.jl:66 [inlined]
[15] mul!(C::SubArray{Int64, 1, CuArray{Int64, 2, CUDA.DeviceMemory}, Tuple{Int64, UnitRange{Int64}}, true}, A::Transpose{Int64, SubArray{Int64, 2, CuArray{Int64, 2, CUDA.DeviceMemory}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}}, B::CuArray{Int64, 1, CUDA.DeviceMemory})
@ LinearAlgebra ~/Julia/depot/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/LinearAlgebra/src/matmul.jl:237
[16] top-level scope
@ REPL[61]:1
So, how does this work with Int
arrays? I guess CuBlas is not an option, so which eltype restrictions (if any) are there over at GPUArrays.jl? Looks like step [13] (or [12] at the latest) should be caught by some GPU package.
GPUArrays.jl' GEMM has no eltype restrictions: https://github.com/JuliaGPU/GPUArrays.jl/blob/3f8734280311e0954318ccc118b28a179bac6fff/src/host/linalg.jl#L342-L373
Aha, and the ones in here
https://github.com/search?q=repo%3AJuliaGPU%2FCUDA.jl%20generic_matvecmul!&type=code
don't apply because the first argument is a view, and not a straight CuVector
.
That signature can be relaxed. At least, the wrappers (gemv!
, symv!
and hemv!
) in cublas/wrappers.jl allow for destination objects of type StridedCuVector
.
GPUArrays.jl' GEMM has no eltype restrictions: https://github.com/JuliaGPU/GPUArrays.jl/blob/3f8734280311e0954318ccc118b28a179bac6fff/src/host/linalg.jl#L342-L373
BTW, that method signature is so generic, I wonder if it will be chosen here: https://github.com/JuliaGPU/CUDA.jl/blob/e1e5be2b6bf17f03a367cebeb18c4645e593f80d/lib/cublas/linalg.jl#L210.
Describe the bug
The in-place multiplication
mul!(A, B, C)
fails whenA
is a vector view of a matrix.To reproduce
The Minimal Working Example (MWE) for this bug:
Surprisingly, it works for matrix views of matrices
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"d6f4376e-aef5-505a-96c1-9c027394607a" [[deps.MbedTLS_jll]] deps = ["Artifacts", "Libdl"] uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1" version = "2.28.2+1" [[deps.Missings]] deps = ["DataAPI"] git-tree-sha1 = "ec4f7fbeab05d7747bdf98eb74d130a2a2ed298d" uuid = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28" version = "1.2.0" [[deps.MozillaCACerts_jll]] uuid = "14a3606d-f60d-562e-9121-12d972cd8159" version = "2023.1.10" [[deps.NVTX]] deps = ["Colors", "JuliaNVTXCallbacks_jll", "Libdl", "NVTX_jll"] git-tree-sha1 = "53046f0483375e3ed78e49190f1154fa0a4083a1" uuid = "5da4648a-3479-48b8-97b9-01cb529c0a1f" version = "0.3.4" [[deps.NVTX_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "ce3269ed42816bf18d500c9f63418d4b0d9f5a3b" uuid = "e98f9f5b-d649-5603-91fd-7774390e6439" version = "3.1.0+2" [[deps.NetworkOptions]] uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908" version = "1.2.0" [[deps.OpenBLAS_jll]] deps = ["Artifacts", "CompilerSupportLibraries_jll", "Libdl"] uuid = "4536629a-c528-5b80-bd46-f80d51c5b363" version = "0.3.23+4" [[deps.OrderedCollections]] git-tree-sha1 = "dfdf5519f235516220579f949664f1bf44e741c5" uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d" version = "1.6.3" [[deps.Parsers]] deps = ["Dates", "PrecompileTools", "UUIDs"] git-tree-sha1 = "8489905bcdbcfac64d1daa51ca07c0d8f0283821" uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0" version = "2.8.1" [[deps.Pkg]] deps = ["Artifacts", "Dates", "Downloads", "FileWatching", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"] uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" version = "1.10.0" [[deps.PooledArrays]] deps = ["DataAPI", "Future"] git-tree-sha1 = "36d8b4b899628fb92c2749eb488d884a926614d3" uuid = "2dfb63ee-cc39-5dd5-95bd-886bf059d720" version = "1.4.3" [[deps.PrecompileTools]] deps = ["Preferences"] git-tree-sha1 = "5aa36f7049a63a1528fe8f7c3f2113413ffd4e1f" uuid = "aea7be01-6a6a-4083-8856-8a6e6704d82a" version = "1.2.1" [[deps.Preferences]] deps = ["TOML"] git-tree-sha1 = "9306f6085165d270f7e3db02af26a400d580f5c6" uuid = "21216c6a-2e73-6563-6e65-726566657250" version = "1.4.3" [[deps.PrettyTables]] deps = ["Crayons", "LaTeXStrings", "Markdown", "PrecompileTools", "Printf", "Reexport", "StringManipulation", "Tables"] git-tree-sha1 = "66b20dd35966a748321d3b2537c4584cf40387c7" uuid = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d" version = "2.3.2" [[deps.Printf]] deps = ["Unicode"] uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7" [[deps.REPL]] deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"] uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb" [[deps.Random]] deps = ["SHA"] uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" [[deps.Random123]] deps = ["Random", "RandomNumbers"] git-tree-sha1 = "4743b43e5a9c4a2ede372de7061eed81795b12e7" uuid = "74087812-796a-5b5d-8853-05524746bad3" version = "1.7.0" [[deps.RandomNumbers]] deps = ["Random", "Requires"] git-tree-sha1 = "043da614cc7e95c703498a491e2c21f58a2b8111" uuid = "e6cf234a-135c-5ec9-84dd-332b85af5143" version = "1.5.3" [[deps.Reexport]] git-tree-sha1 = "45e428421666073eab6f2da5c9d310d99bb12f9b" uuid = "189a3867-3050-52da-a836-e630ba90ab69" version = "1.2.2" [[deps.Requires]] deps = ["UUIDs"] git-tree-sha1 = "838a3a4188e2ded87a4f9f184b4b0d78a1e91cb7" uuid = "ae029012-a4dd-5104-9daa-d747884805df" version = "1.3.0" [[deps.SHA]] uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce" version = "0.7.0" [[deps.Scratch]] deps = ["Dates"] git-tree-sha1 = "3bac05bc7e74a75fd9cba4295cde4045d9fe2386" uuid = "6c6a2e73-6563-6170-7368-637461726353" version = "1.2.1" [[deps.SentinelArrays]] deps = ["Dates", "Random"] git-tree-sha1 = "90b4f68892337554d31cdcdbe19e48989f26c7e6" uuid = "91c51154-3ec4-41a3-a24f-3f23e20d615c" version = "1.4.3" [[deps.Serialization]] uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b" [[deps.Sockets]] uuid = "6462fe0b-24de-5631-8697-dd941f90decc" [[deps.SortingAlgorithms]] deps = ["DataStructures"] git-tree-sha1 = "66e0a8e672a0bdfca2c3f5937efb8538b9ddc085" uuid = "a2af1166-a08f-5f64-846c-94a0d3cef48c" version = "1.2.1" [[deps.SparseArrays]] deps = ["Libdl", "LinearAlgebra", "Random", "Serialization", "SuiteSparse_jll"] uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf" version = "1.10.0" [[deps.StaticArrays]] deps = ["LinearAlgebra", "PrecompileTools", "Random", "StaticArraysCore"] git-tree-sha1 = "6e00379a24597be4ae1ee6b2d882e15392040132" uuid = "90137ffa-7385-5640-81b9-e52037218182" version = "1.9.5" [deps.StaticArrays.extensions] StaticArraysChainRulesCoreExt = "ChainRulesCore" StaticArraysStatisticsExt = "Statistics" [deps.StaticArrays.weakdeps] ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4" Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" [[deps.StaticArraysCore]] git-tree-sha1 = "192954ef1208c7019899fbf8049e717f92959682" uuid = "1e83bf80-4336-4d27-bf5d-d5a4f845583c" version = "1.4.3" [[deps.Statistics]] deps = ["LinearAlgebra", "SparseArrays"] uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" version = "1.10.0" [[deps.StringManipulation]] deps = ["PrecompileTools"] git-tree-sha1 = "a04cabe79c5f01f4d723cc6704070ada0b9d46d5" uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e" version = "0.3.4" [[deps.SuiteSparse_jll]] deps = ["Artifacts", "Libdl", "libblastrampoline_jll"] uuid = "bea87d4a-7f5b-5778-9afe-8cc45184846c" version = "7.2.1+1" [[deps.TOML]] deps = ["Dates"] uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76" version = "1.0.3" [[deps.TableTraits]] deps = ["IteratorInterfaceExtensions"] git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39" uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c" version = "1.0.1" [[deps.Tables]] deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "OrderedCollections", "TableTraits"] git-tree-sha1 = "cb76cf677714c095e535e3501ac7954732aeea2d" uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c" version = "1.11.1" [[deps.Tar]] deps = ["ArgTools", "SHA"] uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e" version = "1.10.0" [[deps.Test]] deps = ["InteractiveUtils", "Logging", "Random", "Serialization"] uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40" [[deps.TimerOutputs]] deps = ["ExprTools", "Printf"] git-tree-sha1 = "5a13ae8a41237cff5ecf34f73eb1b8f42fff6531" uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f" version = "0.5.24" [[deps.UUIDs]] deps = ["Random", "SHA"] uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4" [[deps.Unicode]] uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5" [[deps.UnsafeAtomics]] git-tree-sha1 = "6331ac3440856ea1988316b46045303bef658278" uuid = "013be700-e6cd-48c3-b4a1-df204f14c38f" version = "0.2.1" [[deps.UnsafeAtomicsLLVM]] deps = ["LLVM", "UnsafeAtomics"] git-tree-sha1 = "d9f5962fecd5ccece07db1ff006fb0b5271bdfdd" uuid = "d80eeb9a-aca5-4d75-85e5-170c8b632249" version = "0.1.4" [[deps.Zlib_jll]] deps = ["Libdl"] uuid = "83775a58-1f1d-513f-b197-d71354ab007a" version = "1.2.13+1" [[deps.libblastrampoline_jll]] deps = ["Artifacts", "Libdl"] uuid = "8e850b90-86db-534c-a0d3-1478176c7d93" version = "5.8.0+1" [[deps.nghttp2_jll]] deps = ["Artifacts", "Libdl"] uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d" version = "1.52.0+1" [[deps.p7zip_jll]] deps = ["Artifacts", "Libdl"] uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" version = "17.4.0+2" ```
Expected behavior
No scalar indexing error.
Version info
Details on Julia:
Details on CUDA: