chain quantizer GPU buffer error

[sepehr3pehr]

In running the chain quantizer I get the following error:

Training a chain quantizer
 -2 2.394428e+04... 0.60 secs updating C
ERROR: LoadError: ArgumentError: cannot take the CPU address of a GPU buffer
Stacktrace:
 [1] unsafe_convert(::Type{Ptr{Float32}}, ::CUDAdrv.Mem.Buffer) at /home/s2eghbal/.julia/packages/CUDAdrv/lu32K/src/memory.jl:20
 [2] macro expansion at /home/s2eghbal/.julia/packages/CUDAdrv/lu32K/src/execution.jl:171 [inlined]
 [3] #_cudacall#24(::Int64, ::Tuple{Int64,Int64}, ::Int64, ::CUDAdrv.CuStream, ::typeof(CUDAdrv._cudacall), ::CUDAdrv.CuFunction, ::Type{Tuple{Ptr{Float32},Ptr{Float32},Int32,Int32}}, ::Tuple{CUDAdrv.Mem.Buffer,CUDAdrv.Mem.Buffer,Int32,Int32}) at /home/s2eghbal/.julia/packages/CUDAdrv/lu32K/src/execution.jl:154
 [4] (::getfield(CUDAdrv, Symbol("#kw##_cudacall")))(::NamedTuple{(:blocks, :threads),Tuple{Int64,Tuple{Int64,Int64}}}, ::typeof(CUDAdrv._cudacall), ::CUDAdrv.CuFunction, ::Type, ::Tuple{CUDAdrv.Mem.Buffer,CUDAdrv.Mem.Buffer,Int32,Int32}) at ./none:0
 [5] #cudacall#23 at /home/s2eghbal/.julia/packages/CUDAdrv/lu32K/src/execution.jl:146 [inlined]
 [6] (::getfield(CUDAdrv, Symbol("#kw##cudacall")))(::NamedTuple{(:blocks, :threads),Tuple{Int64,Tuple{Int64,Int64}}}, ::typeof(CUDAdrv.cudacall), ::CUDAdrv.CuFunction, ::Type, ::CUDAdrv.Mem.Buffer, ::CUDAdrv.Mem.Buffer, ::Int32, ::Int32) at ./none:0
 [7] vec_add(::Int64, ::Tuple{Int64,Int64}, ::CUDAdrv.Mem.Buffer, ::CUDAdrv.Mem.Buffer, ::Int32, ::Int32) at /home/s2eghbal/.julia/dev/Rayuela/src/CudaUtilsModule.jl:75
 [8] quantize_chainq_cuda!(::Array{Int16,2}, ::Array{Float32,2}, ::Array{Array{Float32,2},1}, ::Array{Array{Float32,2},1}, ::UnitRange{Int64}) at /home/s2eghbal/.julia/dev/Rayuela/src/ChainQ.jl:242
 [9] quantize_chainq(::Array{Float32,2}, ::Array{Array{Float32,2},1}, ::Bool, ::Bool) at /home/s2eghbal/.julia/dev/Rayuela/src/ChainQ.jl:325
 [10] train_chainq(::Array{Float32,2}, ::Int64, ::Int64, ::Array{Float32,2}, ::Array{Int16,2}, ::Array{Array{Float32,2},1}, ::Int64, ::Bool) at /home/s2eghbal/.julia/dev/Rayuela/src/ChainQ.jl:401
 [11] run_demos(::String, ::Int64, ::Int64, ::Int64, ::Int64) at /home/s2eghbal/.julia/dev/Rayuela/demos/demos_train_query_base.jl:60
 [12] top-level scope at /home/s2eghbal/.julia/dev/Rayuela/demos/demos_train_query_base.jl:174 [inlined]
 [13] top-level scope at ./none:0
 [14] include at ./boot.jl:326 [inlined]
 [15] include_relative(::Module, ::String) at ./loading.jl:1038
 [16] include(::Module, ::String) at ./sysimg.jl:29
 [17] include(::String) at ./client.jl:403
 [18] top-level scope at none:0
in expression starting at /home/s2eghbal/.julia/dev/Rayuela/demos/demos_train_query_base.jl:173

[JerryChen97]

Have you solved this problem? I just met with nearly the same one and found no clue how to deal with it...

[una-dinosauria]

I believe @sepehr3pehr did. If you give me a pointer to the solution I'll try to patch it tonight.

[JerryChen97]

Oh thanks but I just managed to fix it by myself... And it turned out to be only my own fault not the package's...

[sepehr3pehr]

I am on a trip right now and unfortunately don't have access to my code, but the error is mainly because of recent CUDAdrv update that differentiates between Ptr and CuPtr. I changed pointers to CuArrays from Ptr to CuPtr at line 76 of CudaUtilsModule and that solved the problem but there were some other parts of the code that needed the same modification.