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I get lots of these errors when running the pkg tests
It's the Julia pkg as checked out on POP_OS! - Julia 1.4
matt@pop-os: $ uname -a
Linux pop-os 5.4.0-7634-generic #38 1592497129 20.04 9a1ea2e-Ubuntu SMP Fri Jun 19 22:43:37 UTC x86_64 x86_64 x86_64 GNU/Linux
(@v1.4) pkg> test CUDA
... snip many more, this is the last one in the list ...
Error in testset gpuarrays/mapreduce (old tests):
Error During Test at /home/matt/.julia/packages/GPUArrays/X4SqE/test/testsuite/mapreduce.jl:184
Test threw exception
Expression: A == deepcopy(A)
LLVM error: Cannot cast between two non-generic address spaces
Stacktrace:
[1] handle_error(::Cstring) at /home/matt/.julia/packages/LLVM/T8ZBA/src/core/context.jl:105
[2] macro expansion at /home/matt/.julia/packages/LLVM/T8ZBA/src/util.jl:109 [inlined]
[3] LLVMTargetMachineEmitToMemoryBuffer(::LLVM.TargetMachine, ::LLVM.Module, ::LLVM.API.LLVMCodeGenFileType, ::Base.RefValue{Cstring}, ::Base.RefValue{Ptr{LLVM.API.LLVMOpaqueMemoryBuffer}}) at /home/matt/.julia/packages/LLVM/T8ZBA/lib/libLLVM_h.jl:3512
[4] emit(::LLVM.TargetMachine, ::LLVM.Module, ::LLVM.API.LLVMCodeGenFileType) at /home/matt/.julia/packages/LLVM/T8ZBA/src/targetmachine.jl:43
[5] mcgen at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/mcgen.jl:73 [inlined]
[6] macro expansion at /home/matt/.julia/packages/TimerOutputs/dVnaw/src/TimerOutput.jl:206 [inlined]
[7] macro expansion at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/driver.jl:254 [inlined]
[8] macro expansion at /home/matt/.julia/packages/TimerOutputs/dVnaw/src/TimerOutput.jl:206 [inlined]
[9] codegen(::Symbol, ::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget,CUDA.CUDACompilerParams}; libraries::Bool, deferred_codegen::Bool, optimize::Bool, strip::Bool, validate::Bool, only_entry::Bool) at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/driver.jl:250
[10] compile(::Symbol, ::GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget,CUDA.CUDACompilerParams}; libraries::Bool, deferred_codegen::Bool, optimize::Bool, strip::Bool, validate::Bool, only_entry::Bool) at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/driver.jl:39
[11] compile at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/driver.jl:35 [inlined]
[12] _cufunction(::GPUCompiler.FunctionSpec{typeof(CUDA.partial_mapreduce_grid),Tuple{typeof(identity),typeof(&),Bool,CartesianIndices{1,Tuple{Base.OneTo{Int64}}},CartesianIndices{1,Tuple{Base.OneTo{Int64}}},Val{true},CuDeviceArray{Bool,2,CUDA.AS.Global},Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(==),Tuple{CuDeviceArray{Bool,1,CUDA.AS.Global},CuDeviceArray{Bool,1,CUDA.AS.Global}}}}}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/matt/.julia/packages/CUDA/sjcZt/src/compiler/execution.jl:308
[13] _cufunction at /home/matt/.julia/packages/CUDA/sjcZt/src/compiler/execution.jl:302 [inlined]
[14] #100 at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/cache.jl:21 [inlined]
[15] get!(::GPUCompiler.var"#100#101"{Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(CUDA._cufunction),GPUCompiler.FunctionSpec{typeof(CUDA.partial_mapreduce_grid),Tuple{typeof(identity),typeof(&),Bool,CartesianIndices{1,Tuple{Base.OneTo{Int64}}},CartesianIndices{1,Tuple{Base.OneTo{Int64}}},Val{true},CuDeviceArray{Bool,2,CUDA.AS.Global},Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(==),Tuple{CuDeviceArray{Bool,1,CUDA.AS.Global},CuDeviceArray{Bool,1,CUDA.AS.Global}}}}}}, ::Dict{UInt64,Any}, ::UInt64) at ./dict.jl:452
[16] macro expansion at ./lock.jl:183 [inlined]
[17] check_cache(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(CUDA.partial_mapreduce_grid),Tuple{typeof(identity),typeof(&),Bool,CartesianIndices{1,Tuple{Base.OneTo{Int64}}},CartesianIndices{1,Tuple{Base.OneTo{Int64}}},Val{true},CuDeviceArray{Bool,2,CUDA.AS.Global},Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(==),Tuple{CuDeviceArray{Bool,1,CUDA.AS.Global},CuDeviceArray{Bool,1,CUDA.AS.Global}}}}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/cache.jl:19
[18] + at ./int.jl:53 [inlined]
[19] hash_64_64 at ./hashing.jl:35 [inlined]
[20] hash_uint64 at ./hashing.jl:62 [inlined]
[21] hx at ./float.jl:568 [inlined]
[22] hash at ./float.jl:571 [inlined]
[23] cached_compilation(::typeof(CUDA._cufunction), ::GPUCompiler.FunctionSpec{typeof(CUDA.partial_mapreduce_grid),Tuple{typeof(identity),typeof(&),Bool,CartesianIndices{1,Tuple{Base.OneTo{Int64}}},CartesianIndices{1,Tuple{Base.OneTo{Int64}}},Val{true},CuDeviceArray{Bool,2,CUDA.AS.Global},Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(==),Tuple{CuDeviceArray{Bool,1,CUDA.AS.Global},CuDeviceArray{Bool,1,CUDA.AS.Global}}}}}, ::UInt64; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/cache.jl:0
[24] cached_compilation(::Function, ::GPUCompiler.FunctionSpec{typeof(CUDA.partial_mapreduce_grid),Tuple{typeof(identity),typeof(&),Bool,CartesianIndices{1,Tuple{Base.OneTo{Int64}}},CartesianIndices{1,Tuple{Base.OneTo{Int64}}},Val{true},CuDeviceArray{Bool,2,CUDA.AS.Global},Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(==),Tuple{CuDeviceArray{Bool,1,CUDA.AS.Global},CuDeviceArray{Bool,1,CUDA.AS.Global}}}}}, ::UInt64) at /home/matt/.julia/packages/GPUCompiler/FoVMi/src/cache.jl:37
[25] cufunction(::Function, ::Type{T} where T; name::Nothing, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/matt/.julia/packages/CUDA/sjcZt/src/compiler/execution.jl:296
[26] cufunction(::Function, ::Type{T} where T) at /home/matt/.julia/packages/CUDA/sjcZt/src/compiler/execution.jl:291
[27] macro expansion at /home/matt/.julia/packages/CUDA/sjcZt/src/mapreduce.jl:197 [inlined]
[28] mapreducedim!(::Function, ::Function, ::CuArray{Bool,1,Nothing}, ::Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(==),Tuple{CuArray{Bool,1,Nothing},CuArray{Bool,1,Nothing}}}; init::Bool) at /home/matt/.julia/packages/CUDA/sjcZt/lib/nvtx/highlevel.jl:83
[29] _mapreduce(::Function, ::Function, ::CuArray{Bool,1,Nothing}, ::Vararg{CuArray{Bool,1,Nothing},N} where N; dims::Function, init::Nothing) at /home/matt/.julia/packages/GPUArrays/X4SqE/src/host/mapreduce.jl:62
[30] #mapreduce#25 at /home/matt/.julia/packages/GPUArrays/X4SqE/src/host/mapreduce.jl:28 [inlined]
[31] mapreduce at /home/matt/.julia/packages/GPUArrays/X4SqE/src/host/mapreduce.jl:28 [inlined]
[32] ==(::CuArray{Bool,1,Nothing}, ::CuArray{Bool,1,Nothing}) at /home/matt/.julia/packages/GPUArrays/X4SqE/src/host/mapreduce.jl:78
[33] eval_test(::Expr, ::Expr, ::LineNumberNode, ::Bool) at /build/julia-98cBbp/julia-1.4.1+dfsg/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:246
[34] macro expansion at /home/matt/.julia/packages/GPUArrays/X4SqE/test/testsuite/mapreduce.jl:184 [inlined]
[35] macro expansion at /build/julia-98cBbp/julia-1.4.1+dfsg/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1113 [inlined]
[36] macro expansion at /home/matt/.julia/packages/GPUArrays/X4SqE/test/testsuite/mapreduce.jl:177 [inlined]
[37] macro expansion at /build/julia-98cBbp/julia-1.4.1+dfsg/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1113 [inlined]
[38] (::Main.TestSuite.var"#166#184")(::Type{T} where T) at /home/matt/.julia/packages/GPUArrays/X4SqE/test/testsuite/mapreduce.jl:124
ERROR: LoadError: Test run finished with errors
in expression starting at /home/matt/.julia/packages/CUDA/sjcZt/test/runtests.jl:473
ERROR: Package CUDA errored during testing
The text was updated successfully, but these errors were encountered:
Pop OS must not be using our patched LLVM; that's an unsupported configuration. Please use the official binaries and/or mention to the Pop OS maintainers that they should use our version of LLVM.
I get lots of these errors when running the pkg tests
It's the Julia pkg as checked out on POP_OS! - Julia 1.4
... snip many more, this is the last one in the list ...
The text was updated successfully, but these errors were encountered: