2-`norm` for views of CuArray falls back to scalar indexing #2280

utkinis · 2024-03-03T23:18:56Z

Describe the bug

When taking the 2-norm (or any p-norm apart from 1- and Inf-norm) of a CuArray view, the implementation errors due to scalar iteration. Interestingly, 1-norm and Inf-norm don't result in an error.

To reproduce

The Minimal Working Example (MWE) for this bug:

julia> using CUDA

julia> CUDA.allowscalar(false)

julia> F = CUDA.rand(Float64, 10, 10);

julia> using LinearAlgebra

julia> norm(F, 1)
52.56442439112135

julia> norm(F, Inf)
0.9987327733895317

julia> norm(F, 2)
5.909233996256053

julia> F_v = @view F[2:end-1,2:end-1];

julia> norm(F_v, 1)
33.28196660190136

julia> norm(F_v, Inf)
0.986534225435441

julia> norm(F_v, 2)
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/packages/GPUArraysCore/GMsgk/src/GPUArraysCore.jl:155
  [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
    @ GPUArraysCore ~/.julia/packages/GPUArraysCore/GMsgk/src/GPUArraysCore.jl:128
  [4] assertscalar(op::String)
    @ GPUArraysCore ~/.julia/packages/GPUArraysCore/GMsgk/src/GPUArraysCore.jl:116
  [5] getindex(A::CuArray{Float64, 2, CUDA.Mem.DeviceBuffer}, I::Int64)
    @ GPUArrays ~/.julia/packages/GPUArrays/Hd5Sk/src/host/indexing.jl:48
  [6] scalar_getindex
    @ ~/.julia/packages/GPUArrays/Hd5Sk/src/host/indexing.jl:34 [inlined]
  [7] _getindex
    @ ~/.julia/packages/GPUArrays/Hd5Sk/src/host/indexing.jl:17 [inlined]
  [8] getindex
    @ ~/.julia/packages/GPUArrays/Hd5Sk/src/host/indexing.jl:15 [inlined]
  [9] getindex
    @ ./subarray.jl:288 [inlined]
 [10] _getindex
    @ ./abstractarray.jl:1341 [inlined]
 [11] getindex
    @ ./abstractarray.jl:1291 [inlined]
 [12] iterate
    @ ./abstractarray.jl:1217 [inlined]
 [13] iterate
    @ ./abstractarray.jl:1215 [inlined]
 [14] generic_norm2(x::SubArray{Float64, 2, CuArray{Float64, 2, CUDA.Mem.DeviceBuffer}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false})
    @ LinearAlgebra /scratch-1/soft/julia/julia-1.10.1/share/julia/stdlib/v1.10/LinearAlgebra/src/generic.jl:465
 [15] norm2
    @ /scratch-1/soft/julia/julia-1.10.1/share/julia/stdlib/v1.10/LinearAlgebra/src/generic.jl:529 [inlined]
 [16] norm(itr::SubArray{Float64, 2, CuArray{Float64, 2, CUDA.Mem.DeviceBuffer}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, p::Int64)
    @ LinearAlgebra /scratch-1/soft/julia/julia-1.10.1/share/julia/stdlib/v1.10/LinearAlgebra/src/generic.jl:598
 [17] top-level scope
    @ REPL[61]:1
 [18] top-level scope
    @ ~/.julia/packages/CUDA/htRwP/src/initialization.jl:206

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Expected behavior

The 2-norm of a CuArray view should behave similarly to other norms, calling CUDA implementation.

Version info

Details on Julia:

julia> versioninfo()
Julia Version 1.10.1
Commit 7790d6f0641 (2024-02-13 20:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 32 × AMD EPYC 7282 16-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver2)
Threads: 4 default, 0 interactive, 2 GC (on 32 virtual cores)
Environment:
  JULIA_HDF5_PATH = /scratch-1/soft/spack/opt/spack/linux-ubuntu20.04-zen2/gcc-9.4.0/hdf5-1.14.3-ldtujwyb3rbhtch7y7yjh3njta67pkj3
  JULIA_LOAD_PATH = :/scratch-1/julia_prefs/
  JULIA_NUM_THREADS = 4

Details on CUDA:

# please post the output of:
julia> CUDA.versioninfo()
CUDA runtime 12.3, local installation
CUDA driver 12.3
NVIDIA driver 545.23.8

CUDA libraries:
- CUBLAS: 12.3.4
- CURAND: 10.3.4
- CUFFT: 11.0.12
- CUSOLVER: 11.5.4
- CUSPARSE: 12.2.0
- CUPTI: 21.0.0
- NVML: 12.0.0+545.23.8

Julia packages:
- CUDA: 5.2.0
- CUDA_Driver_jll: 0.7.0+1
- CUDA_Runtime_jll: 0.11.1+0
- CUDA_Runtime_Discovery: 0.2.3

Toolchain:
- Julia: 1.10.1
- LLVM: 15.0.7

Preferences:
- CUDA_Runtime_jll.version: local

8 devices:
  0: NVIDIA A100-SXM4-40GB (sm_80, 38.893 GiB / 40.000 GiB available)
  1: NVIDIA A100-SXM4-40GB (sm_80, 39.385 GiB / 40.000 GiB available)
  2: NVIDIA A100-SXM4-40GB (sm_80, 39.385 GiB / 40.000 GiB available)
  3: NVIDIA A100-SXM4-40GB (sm_80, 34.860 GiB / 40.000 GiB available)
  4: NVIDIA A100-SXM4-40GB (sm_80, 39.385 GiB / 40.000 GiB available)
  5: NVIDIA A100-SXM4-40GB (sm_80, 34.860 GiB / 40.000 GiB available)
  6: NVIDIA A100-SXM4-40GB (sm_80, 34.860 GiB / 40.000 GiB available)
  7: NVIDIA A100-SXM4-40GB (sm_80, 39.385 GiB / 40.000 GiB available)

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

`norm(@view x[..], 2)` was previously leading to a call of `LinearAlgebra.generic_norm2` which led to a scalar indexing. This catches such cuda subarray norm2 calls earlier. Inf-norm and p-norm with cuda subarrays still lead to the following dispatches: ```julia LinearAlgebra.generic_normInf(x) = float(mapreduce(norm, max, x)) LinearAlgebra.generic_norm1(x) = mapreduce(float ∘ norm, +, x) ``` I am not sure if there is a better way to dispatch the above. should resolve JuliaGPU#2280

utkinis added the bug Something isn't working label Mar 3, 2024

maleadt added enhancement New feature or request cuda array Stuff about CuArray. and removed bug Something isn't working labels Mar 4, 2024

luraess mentioned this issue Mar 4, 2024

2-norm for views of ROCArray falls back to scalar indexing JuliaGPU/AMDGPU.jl#607

Open

maleadt added the good first issue Good for newcomers label Mar 21, 2024

sharanry linked a pull request Mar 22, 2024 that will close this issue

Add a dispatch for LinearAlgebra.norm2 #2302

Draft

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Uh oh!

2-`norm` for views of CuArray falls back to scalar indexing #2280

2-`norm` for views of CuArray falls back to scalar indexing #2280

utkinis commented Mar 3, 2024 •

edited

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2-norm for views of CuArray falls back to scalar indexing #2280

2-norm for views of CuArray falls back to scalar indexing #2280

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utkinis commented Mar 3, 2024 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

2-`norm` for views of CuArray falls back to scalar indexing #2280

2-`norm` for views of CuArray falls back to scalar indexing #2280

utkinis commented Mar 3, 2024 •

edited

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