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Default simulate fails after clean install of KomaMRI version 0.7.5 #298

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filip-szczepankiewicz opened this issue Jan 18, 2024 · 5 comments
Closed

Default simulate fails after clean install of KomaMRI version 0.7.5 #298

filip-szczepankiewicz opened this issue Jan 18, 2024 · 5 comments
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@beorostica
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bug Something isn't working

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@filip-szczepankiewicz
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What happened?

After a clean install of Julia and KomaMRI it fails to perform the simulation with default setting. UI is stuck on spinning circle, and the command window stops at the statements below. I tried running it on two different PCs with win 11.

From a brief contact with developers I was informed that this was an issue with the latest Julia version and that a fix is forthcoming.

Best,
/F

---- LOG -----

[ Info: Currently using KomaMRICore v0.7.6

julia> MethodError: no method matching length(::Nothing)

Closest candidates are:
length(::Base.MethodSpecializations)
@ Base reflection.jl:1166
length(::Tables.DictRowTable)
@ Tables C:\Users\FilipSz.julia\packages\Tables\NSGZI\src\dicts.jl:118
length(::HDF5.BlockRange) (method too new to be called from this world context.)
@ HDF5 C:\Users\FilipSz.julia\packages\HDF5\MIuzl\src\dataspaces.jl:190
...

Stacktrace:
[1] #s597#122
@ C:\Users\FilipSz.julia\packages\GPUCompiler\S3TWf\src\cache.jl:18 [inlined]
[2] var"#s597#122"(f::Any, tt::Any, ::Any, job::Any)
@ GPUCompiler .\none:0
[3] (::Core.GeneratedFunctionStub)(::UInt64, ::LineNumberNode, ::Any, ::Vararg{Any})
@ Core .\boot.jl:602
[4] cached_compilation(cache::Dict{UInt64, Any}, job::GPUCompiler.CompilerJob, compiler::typeof(CUDA.cufunction_compile), linker::typeof(CUDA.cufunction_link))
@ GPUCompiler C:\Users\FilipSz.julia\packages\GPUCompiler\S3TWf\src\cache.jl:71
[5] cufunction(f::GPUArrays.var"#broadcast_kernel#26", tt::Type{Tuple{CUDA.CuKernelContext, CUDA.CuDeviceVector{Float32, 1}, Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1}, Tuple{Base.OneTo{Int64}}, typeof(convert), Tuple{CUDA.CuRefType{Float32}, Base.Broadcast.Extruded{CUDA.CuDeviceVector{Float32, 1}, Tuple{Bool}, Tuple{Int64}}}}, Int64}}; name::Nothing,
always_inline::Bool, kwargs::@kwargs{})
@ CUDA C:\Users\FilipSz.julia\packages\CUDA\BbliS\src\compiler\execution.jl:300
[6] cufunction
@ C:\Users\FilipSz.julia\packages\CUDA\BbliS\src\compiler\execution.jl:293 [inlined]
[7] macro expansion
@ C:\Users\FilipSz.julia\packages\CUDA\BbliS\src\compiler\execution.jl:102 [inlined]
[8] #launch_heuristic#252
@ C:\Users\FilipSz.julia\packages\CUDA\BbliS\src\gpuarrays.jl:17 [inlined]
[9] launch_heuristic
@ C:\Users\FilipSz.julia\packages\CUDA\BbliS\src\gpuarrays.jl:15 [inlined]
[10] _copyto!
@ C:\Users\FilipSz.julia\packages\GPUArrays\5XhED\src\host\broadcast.jl:65 [inlined]
[11] copyto!
@ C:\Users\FilipSz.julia\packages\GPUArrays\5XhED\src\host\broadcast.jl:46 [inlined]
[12] copy
@ C:\Users\FilipSz.julia\packages\GPUArrays\5XhED\src\host\broadcast.jl:37 [inlined]
[13] materialize
@ .\broadcast.jl:903 [inlined]
[14] adapt_storage(T::Type{Float32}, xs::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer})
@ KomaMRICore C:\Users\FilipSz.julia\packages\KomaMRICore\wY77R\src\simulation\GPUFunctions.jl:90
[15] adapt_structure(to::Type, x::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer})
@ Adapt C:\Users\FilipSz.julia\packages\Adapt\cdaEv\src\Adapt.jl:57
[16] adapt
@ C:\Users\FilipSz.julia\packages\Adapt\cdaEv\src\Adapt.jl:40 [inlined]
[17] #162
@ C:\Users\FilipSz.julia\packages\KomaMRICore\wY77R\src\simulation\GPUFunctions.jl:88 [inlined]
[18] ExcludeWalk
@ C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:106 [inlined]
[19] (::Functors.CachedWalk{Functors.ExcludeWalk{Functors.DefaultWalk, KomaMRICore.var"#162#163"{DataType}, typeof(Functors.isleaf)}, Functors.NoKeyword})(::Function, ::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer})
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:146
[20] recurse
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:37 [inlined]
[21] map
@ Base .\tuple.jl:294 [inlined]
[22] map(f::Functors.var"#recurse#19"{Functors.CachedWalk{Functors.ExcludeWalk{Functors.DefaultWalk, KomaMRICore.var"#162#163"{DataType}, typeof(Functors.isleaf)}, Functors.NoKeyword}}, t::Tuple{String, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, KomaMRICore.var"#115#130", KomaMRICore.var"#116#131", KomaMRICore.var"#117#132"})
@ Base .\tuple.jl:294
[23] map(::Function, ::@NamedTuple{name::String, x::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, y::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, z::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, ρ::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, T1::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, T2::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, T2s::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Δw::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Dλ1::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Dλ2::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Dθ::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, ux::KomaMRICore.var"#115#130", uy::KomaMRICore.var"#116#131", uz::KomaMRICore.var"#117#132"})
@ Base .\namedtuple.jl:269
[24] _map(f::Function, x::@NamedTuple{name::String, x::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, y::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, z::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, ρ::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, T1::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, T2::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, T2s::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Δw::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Dλ1::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Dλ2::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Dθ::CUDA.CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, ux::KomaMRICore.var"#115#130", uy::KomaMRICore.var"#116#131", uz::KomaMRICore.var"#117#132"})
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:1
[25] (::Functors.DefaultWalk)(::Function, ::Phantom{Float32})
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:76
[26] ExcludeWalk
@ C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:106 [inlined]
[27] (::Functors.CachedWalk{Functors.ExcludeWalk{Functors.DefaultWalk, KomaMRICore.var"#162#163"{DataType}, typeof(Functors.isleaf)}, Functors.NoKeyword})(::Function, ::Phantom{Float32})
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:146
[28] execute
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\walks.jl:38 [inlined]
[29] #fmap#28
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\maps.jl:11 [inlined]
[30] fmap
@ Functors C:\Users\FilipSz.julia\packages\Functors\rlD70\src\maps.jl:3 [inlined]
[31] paramtype
@ KomaMRICore C:\Users\FilipSz.julia\packages\KomaMRICore\wY77R\src\simulation\GPUFunctions.jl:88 [inlined]
[32] f32
@ KomaMRICore C:\Users\FilipSz.julia\packages\KomaMRICore\wY77R\src\simulation\GPUFunctions.jl:99 [inlined]
[33] |>(x::Phantom{Float32}, f::typeof(f32))
@ Base .\operators.jl:917
[34] simulate(obj::Phantom{Float64}, seq::Sequence, sys::Scanner; simParams::Dict{String, Any}, w::Blink.AtomShell.Window)
@ KomaMRICore C:\Users\FilipSz.julia\packages\KomaMRICore\wY77R\src\simulation\SimulatorCore.jl:201
[35] (::KomaMRI.var"#67#112"{String, String})(args::Int64)
@ KomaMRI C:\Users\FilipSz.julia\packages\KomaMRI\CVhId\src\KomaUI.jl:252
[36] #invokelatest#2
@ .\essentials.jl:887 [inlined]
[37] invokelatest
@ .\essentials.jl:884 [inlined]
[38] handle_message(o::Blink.Page, m::Dict{String, Any})
@ Blink C:\Users\FilipSz.julia\packages\Blink\tnO3a\src\rpc\callbacks.jl:7
[39] macro expansion
@ C:\Users\FilipSz.julia\packages\Lazy\9Xnd3\src\macros.jl:268 [inlined]
[40] ws_handler(ws::HTTP.WebSockets.WebSocket)
@ Blink C:\Users\FilipSz.julia\packages\Blink\tnO3a\src\content\server.jl:50
[41] (::Mux.var"#9#10"{Mux.App})(sock::HTTP.WebSockets.WebSocket)
@ Mux C:\Users\FilipSz.julia\packages\Mux\PipQ9\src\server.jl:48
[42] upgrade(f::Mux.var"#9#10"{Mux.App}, http::HTTP.Streams.Stream{HTTP.Messages.Request, HTTP.Connections.Connection{Sockets.TCPSocket}}; suppress_close_error::Bool, maxframesize::Int64, maxfragmentation::Int64, kw::@kwargs{})
@ HTTP.WebSockets C:\Users\FilipSz.julia\packages\HTTP\bDoga\src\WebSockets.jl:440
[43] upgrade
@ C:\Users\FilipSz.julia\packages\HTTP\bDoga\src\WebSockets.jl:420 [inlined]
[44] (::Mux.var"#14#15"{Mux.App, Mux.App})(http::HTTP.Streams.Stream{HTTP.Messages.Request, HTTP.Connections.Connection{Sockets.TCPSocket}})
@ Mux C:\Users\FilipSz.julia\packages\Mux\PipQ9\src\server.jl:81
[45] #invokelatest#2
@ .\essentials.jl:887 [inlined]
[46] invokelatest
@ .\essentials.jl:884 [inlined]
[47] handle_connection(f::Function, c::HTTP.Connections.Connection{Sockets.TCPSocket}, listener::HTTP.Servers.Listener{Nothing, Sockets.TCPServer}, readtimeout::Int64, access_log::Nothing)
@ HTTP.Servers C:\Users\FilipSz.julia\packages\HTTP\bDoga\src\Servers.jl:450
[48] (::HTTP.Servers.var"#16#17"{Mux.var"#14#15"{Mux.App, Mux.App}, HTTP.Servers.Listener{Nothing, Sockets.TCPServer}, Set{HTTP.Connections.Connection}, Int64, Nothing, Base.Semaphore, HTTP.Connections.Connection{Sockets.TCPSocket}})()
@ HTTP.Servers C:\Users\FilipSz.julia\packages\HTTP\bDoga\src\Servers.jl:386

Environment

OS x86_64-w64-mingw32
Julia 1.10.0
KomaMRIPlots 0.7.7
KomaMRI 0.7.5
KomaMRICore 0.7.6
@filip-szczepankiewicz filip-szczepankiewicz added the bug Something isn't working label Jan 18, 2024
@cncastillo
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cncastillo commented Jan 18, 2024 •
edited
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Thank you for your patience! We are experiencing problems with the latest version of Julia (1.10) on Windows. The problems were already fixed and a new version of Kona is planned to be released today.

This is also related to #295.

In particular, we are waiting for the following package to be registered:

After that, we will be able to register KomaMRI 0.8, which should fix these problems.

@beorostica
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The new version 0.8.0 of KomaMRI has been released 😄!
@filip-szczepankiewicz let us know if you have any issues in your environment.

If you face any problems, make sure that after running:

using Pkg
begin
  println("OS $(Base.Sys.MACHINE)")    # OS
  println("Julia $VERSION")            # Julia version
  # Koma sub-packages
  for (_, pkg) in filter(((_, pkg),) -> occursin("KomaMRI", pkg.name), Pkg.dependencies())
    println("$(pkg.name) $(pkg.version)")
  end
end

you have the following output:

OS <your-OS>
Julia <your-julia-version-1.9-or-1.10>
KomaMRIPlots 0.8.0
KomaMRIFiles 0.8.0
KomaMRI 0.8.0
KomaMRICore 0.8.0
KomaMRIBase 0.8.1

@filip-szczepankiewicz
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I have tried reinstalling (Pkg.rm -> Pkg.gc -> Pkg.add) and updating KomaMRI, but I still get the following versions:

OS x86_64-w64-mingw32
Julia 1.10.0
KomaMRIPlots 0.7.7
KomaMRI 0.7.5
KomaMRICore 0.7.6

Is there some delay to when ver 8+ will be the default download perhaps?

@filip-szczepankiewicz
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Update: I removed all compiled files related to KomaMRI and repeated the Pkg.add and I am now on the new version>

OS x86_64-w64-mingw32
Julia 1.10.0
KomaMRIPlots 0.8.0
KomaMRIFiles 0.8.0
KomaMRI 0.8.0
KomaMRICore 0.8.0
KomaMRIBase 0.8.1

Simulation and recosntruction was succesful!

Thanks for the quick response!
/F

@beorostica
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beorostica commented Jan 19, 2024 •
edited by cncastillo
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Nice 🎊 !!! We will mark this issue as solved.

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@cncastillo @filip-szczepankiewicz @beorostica