sqrt broken in kernels 'Format of __nvvm__reflect function not recognized'

[michel2323]

Describe the bug

When using sqrt in a kernel CUDA.jl throws the following error:

ERROR: LoadError: Format of __nvvm__reflect function not recognized
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:35
  [2] macro expansion
    @ /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/ptx.jl:439 [inlined]
  [3] macro expansion
    @ /disk/mschanen/julia_depot/packages/TimerOutputs/LHjFw/src/TimerOutput.jl:253 [inlined]
  [4] nvvm_reflect!(fun::LLVM.Function)
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/ptx.jl:413
  [5] function_pass_callback(ptr::Ptr{Nothing}, data::Ptr{Nothing})
    @ LLVM /disk/mschanen/julia_depot/packages/LLVM/X1AeZ/src/pass.jl:49
  [6] LLVMRunPassManager
    @ /disk/mschanen/julia_depot/packages/LLVM/X1AeZ/lib/13/libLLVM_h.jl:4898 [inlined]
  [7] run!
    @ /disk/mschanen/julia_depot/packages/LLVM/X1AeZ/src/passmanager.jl:39 [inlined]
  [8] macro expansion
    @ /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/ptx.jl:176 [inlined]
  [9] macro expansion
    @ /disk/mschanen/julia_depot/packages/LLVM/X1AeZ/src/base.jl:102 [inlined]
 [10] optimize_module!(job::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget}, mod::LLVM.Module)
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/ptx.jl:149
 [11] optimize!(job::GPUCompiler.CompilerJob, mod::LLVM.Module)
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/optim.jl:245
 [12] macro expansion
    @ /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/driver.jl:366 [inlined]
 [13] macro expansion
    @ /disk/mschanen/julia_depot/packages/TimerOutputs/LHjFw/src/TimerOutput.jl:253 [inlined]
 [14] macro expansion
    @ /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/driver.jl:365 [inlined]
 [15] macro expansion
    @ /disk/mschanen/julia_depot/packages/TimerOutputs/LHjFw/src/TimerOutput.jl:253 [inlined]
 [16] macro expansion
    @ /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/driver.jl:355 [inlined]
 [17] emit_llvm(job::GPUCompiler.CompilerJob, method_instance::Any; libraries::Bool, deferred_codegen::Bool, optimize::Bool, cleanup::Bool, only_entry::Bool, validate::Bool, ctx::LLVM.ThreadSafeContext)
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/utils.jl:83
 [18] emit_llvm
    @ /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/utils.jl:77 [inlined]
 [19] compile(job::GPUCompiler.CompilerJob, ctx::LLVM.ThreadSafeContext)
    @ CUDA /disk/mschanen/julia_depot/dev/CUDA/src/compiler/compilation.jl:106
 [20] #203
    @ /disk/mschanen/julia_depot/dev/CUDA/src/compiler/compilation.jl:100 [inlined]
 [21] LLVM.ThreadSafeContext(f::CUDA.var"#203#204"{GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams}})
    @ LLVM /disk/mschanen/julia_depot/packages/LLVM/X1AeZ/src/executionengine/ts_module.jl:14
 [22] JuliaContext(f::CUDA.var"#203#204"{GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams}})
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/driver.jl:74
 [23] compile
    @ /disk/mschanen/julia_depot/dev/CUDA/src/compiler/compilation.jl:99 [inlined]
 [24] actual_compilation(cache::Dict{UInt64, Any}, key::UInt64, cfg::GPUCompiler.CompilerConfig{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams}, ft::Type, tt::Type, world::UInt64, compiler::typeof(CUDA.compile), linker::typeof(CUDA.link))
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/cache.jl:184
 [25] cached_compilation(cache::Dict{UInt64, Any}, cfg::GPUCompiler.CompilerConfig{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams}, ft::Type, tt::Type, compiler::Function, linker::Function)
    @ GPUCompiler /disk/mschanen/julia_depot/packages/GPUCompiler/anMCs/src/cache.jl:163
 [26] macro expansion
    @ /disk/mschanen/julia_depot/dev/CUDA/src/compiler/execution.jl:310 [inlined]
 [27] macro expansion
    @ ./lock.jl:267 [inlined]
 [28] cufunction(f::typeof(sqrt_kernel), tt::Type{Tuple{CuDeviceVector{Float64, 1}}}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ CUDA /disk/mschanen/julia_depot/dev/CUDA/src/compiler/execution.jl:306
 [29] cufunction(f::typeof(sqrt_kernel), tt::Type{Tuple{CuDeviceVector{Float64, 1}}})
    @ CUDA /disk/mschanen/julia_depot/dev/CUDA/src/compiler/execution.jl:303
 [30] macro expansion
    @ /disk/mschanen/julia_depot/dev/CUDA/src/compiler/execution.jl:104 [inlined]
 [31] top-level scope
    @ /disk/mschanen/julia_depot/dev/CUDA/src/utilities.jl:25
in expression starting at /home/mschanen/test/mwe/mwe.jl:11

To reproduce

The Minimal Working Example (MWE) for this bug:

using CUDA

function sqrt_kernel(x)
    tx = threadIdx().x
    if tx <= length(x)
        x[tx] = sqrt(x[tx])
    end
    return nothing
end
x = zeros(10) |> CuArray
CUDA.@sync @cuda sqrt_kernel(x)

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Expected behavior

The kernel executes successfully as it has with a previous stack.

Version info

Details on Julia:

# please post the output of:
versioninfo()
Julia Version 1.9.0-rc1
Commit 3b2e0d8fbc1 (2023-03-07 07:51 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 144 × Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 144 virtual cores
Environment:
  JULIA_FOLDER = /disk/mschanen/julia
  JULIA_HIOP_LIBRARY_PATH = /home/mschanen/local/lib
  LD_LIBRARY_PATH = /home/mschanen/local/lib:
  JULIA_DEPOT_PATH = /disk/mschanen/julia_depot

Details on CUDA:

# please post the output of:
CUDA.versioninfo()
CUDA runtime 12.1, artifact installation
CUDA driver 12.1
NVIDIA driver 525.78.1, originally for CUDA 12.0

Libraries:
- CUBLAS: 12.1.0
- CURAND: 10.3.2
- CUFFT: 11.0.2
- CUSOLVER: 11.4.4
- CUSPARSE: 12.0.2
- CUPTI: 18.0.0
- NVML: 12.0.0+525.78.1

Toolchain:
- Julia: 1.9.0-rc1
- LLVM: 14.0.6
- 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, 7.1, 7.2, 7.3, 7.4, 7.5
- Device capability support: sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80, sm_86

2 devices:
  0: Quadro GV100 (sm_70, 31.733 GiB / 32.000 GiB available)
  1: Quadro GV100 (sm_70, 31.733 GiB / 32.000 GiB available)

Additional context:

Attached is a Manifest.toml where the kernel still works. Unfortunately, it is from another project.

Edit: Hardware reproduced:

• V100 (the one filed here in this report) with Julia 1.8 and 1.9
• RTX 4080 with Windows WSL (also Julia 1.8 and Julia 1.9)
• A A1000 based system installs the CUDA 11.8 runtime. There it still works.

julia> CUDA.versioninfo()
CUDA runtime 11.8, artifact installation
CUDA driver 12.0
NVIDIA driver 525.89.2

Libraries: 
- CUBLAS: 11.11.3
- CURAND: 10.3.0
- CUFFT: 10.9.0
- CUSOLVER: 11.4.1
- CUSPARSE: 11.7.5
- CUPTI: 18.0.0
- NVML: 12.0.0+525.89.2

Toolchain:
- Julia: 1.8.5
- LLVM: 13.0.1
- 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, 7.1, 7.2
- Device capability 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, sm_86

1 device:
  0: NVIDIA RTX A1000 Laptop GPU (sm_86, 3.700 GiB / 4.000 GiB available)

Manifest.zip

[maleadt]

Dup of JuliaGPU/GPUCompiler.jl#410
Fixed in JuliaRegistries/General#80007