CUDA.sqrt will not found symbol "__nv_sqrt"

[GuoHaoxuan]

Describe the bug

CUDA.sqrt will not found symbol "__nv_sqrt"

To reproduce

julia> using CUDA

julia> CUDA.sqrt(12.34)
FATAL ERROR: Symbol "__nv_sqrt"not found
signal (22): SIGABRT
in expression starting at REPL[2]:1
crt_sig_handler at /cygdrive/c/buildbot/worker/package_win64/build/src\signals-win.c:92
raise at C:\Windows\System32\msvcrt.dll (unknown line)
abort at C:\Windows\System32\msvcrt.dll (unknown line)
addModule at /cygdrive/c/buildbot/worker/package_win64/build/src\jitlayers.cpp:640
jl_add_to_ee at /cygdrive/c/buildbot/worker/package_win64/build/src\jitlayers.cpp:893
jl_add_to_ee at /cygdrive/c/buildbot/worker/package_win64/build/src\jitlayers.cpp:955
jl_add_to_ee at /cygdrive/c/buildbot/worker/package_win64/build/src\jitlayers.cpp:977 [inlined]
_jl_compile_codeinst at /cygdrive/c/buildbot/worker/package_win64/build/src\jitlayers.cpp:126
jl_generate_fptr at /cygdrive/c/buildbot/worker/package_win64/build/src\jitlayers.cpp:302
jl_compile_method_internal at /cygdrive/c/buildbot/worker/package_win64/build/src\gf.c:1964
jl_compile_method_internal at /cygdrive/c/buildbot/worker/package_win64/build/src\gf.c:1931 [inlined]
_jl_invoke at /cygdrive/c/buildbot/worker/package_win64/build/src\gf.c:2224 [inlined]
jl_apply_generic at /cygdrive/c/buildbot/worker/package_win64/build/src\gf.c:2398
jl_apply at /cygdrive/c/buildbot/worker/package_win64/build/src\julia.h:1690 [inlined]
do_call at /cygdrive/c/buildbot/worker/package_win64/build/src\interpreter.c:117
eval_value at /cygdrive/c/buildbot/worker/package_win64/build/src\interpreter.c:206
eval_stmt_value at /cygdrive/c/buildbot/worker/package_win64/build/src\interpreter.c:157 [inlined]
eval_body at /cygdrive/c/buildbot/worker/package_win64/build/src\interpreter.c:548
jl_interpret_toplevel_thunk at /cygdrive/c/buildbot/worker/package_win64/build/src\interpreter.c:660
jl_toplevel_eval_flex at /cygdrive/c/buildbot/worker/package_win64/build/src\toplevel.c:840
jl_toplevel_eval_flex at /cygdrive/c/buildbot/worker/package_win64/build/src\toplevel.c:790
jl_toplevel_eval_flex at /cygdrive/c/buildbot/worker/package_win64/build/src\toplevel.c:790
jl_toplevel_eval at /cygdrive/c/buildbot/worker/package_win64/build/src\toplevel.c:849 [inlined]
jl_toplevel_eval_in at /cygdrive/c/buildbot/worker/package_win64/build/src\toplevel.c:883
eval at .\boot.jl:331
eval_user_input at C:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.5\REPL\src\REPL.jl:134
repl_backend_loop at C:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.5\REPL\src\REPL.jl:195
start_repl_backend at C:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.5\REPL\src\REPL.jl:180
#run_repl#37 at C:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.5\REPL\src\REPL.jl:292
run_repl at C:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.5\REPL\src\REPL.jl:288
#807 at .\client.jl:399
jfptr_YY.807_45122 at C:\Users\skyair\AppData\Local\Programs\Julia 1.5.3\lib\julia\sys.dll (unknown line)
jl_apply at /cygdrive/c/buildbot/worker/package_win64/build/src\julia.h:1690 [inlined]
do_apply at /cygdrive/c/buildbot/worker/package_win64/build/src\builtins.c:655
jl_f__apply at /cygdrive/c/buildbot/worker/package_win64/build/src\builtins.c:669 [inlined]
jl_f__apply_latest at /cygdrive/c/buildbot/worker/package_win64/build/src\builtins.c:705
#invokelatest#1 at .\essentials.jl:710 [inlined]
invokelatest at .\essentials.jl:709 [inlined]
run_main_repl at .\client.jl:383
exec_options at .\client.jl:313
_start at .\client.jl:506
jfptr__start_58799 at C:\Users\skyair\AppData\Local\Programs\Julia 1.5.3\lib\julia\sys.dll (unknown line)
jl_apply at /cygdrive/c/buildbot/worker/package_win64/build/src\julia.h:1690 [inlined]
true_main at /cygdrive/c/buildbot/worker/package_win64/build/ui\repl.c:106
wmain at /cygdrive/c/buildbot/worker/package_win64/build/ui\repl.c:227
__tmainCRTStartup at /usr/src/debug/mingw64-x86_64-runtime-8.0.0-1/crt\crtexe.c:328
mainCRTStartup at /usr/src/debug/mingw64-x86_64-runtime-8.0.0-1/crt\crtexe.c:212
BaseThreadInitThunk at C:\Windows\System32\KERNEL32.DLL (unknown line)
RtlUserThreadStart at C:\Windows\SYSTEM32\ntdll.dll (unknown line)
Allocations: 13001022 (Pool: 12999110; Big: 1912); GC: 5

Manifest.toml

[[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"

[[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"

[[LLVM]]
deps = ["CEnum", "Libdl", "Printf", "Unicode"]
git-tree-sha1 = "000a737732aa4eb996414c4685368f6a74b41d14"
uuid = "929cbde3-209d-540e-8aea-75f648917ca0"
version = "3.4.0"

Expected behavior

Do not crash nor show FATAL ERROR: Symbol "__nv_sqrt"not found as above

Version info

Details on Julia:

Julia Version 1.5.3
Commit 788b2c77c1 (2020-11-09 13:37 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: AMD Ryzen 9 5950X 16-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, generic)
Environment:
  JULIA_NUM_THREADS = 32

Details on CUDA:

CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.1.0
NVIDIA driver 456.71.0

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+456.71
- 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, 18.935 GiB / 24.000 GiB available)

[vchuravy]

You executed code that was meant for the GPU on the CPU. CUDA.sqrt is GPU only.

[GuoHaoxuan]

You executed code that was meant for the GPU on the CPU. CUDA.sqrt is GPU only.

Thank you for your answer. The following code is OK.

using CUDA

function sqrt_kernel!(res, val)
    res[begin] = CUDA.sqrt(val)
    return
end

res = cu([0.0])
@cuda sqrt_kernel!(res, 12.34)
println(res[begin])