JuliaInterop / JuliaInterop/MATLAB.jl
Fails to put large variables to the Matlab engine
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- Dominant language
- Julia
- Stars
- 286
- Forks
- 64
- PR merge metrics
- No merged PRs in 30d
Description
Hi, I wrote a small script that uses Matlab's nnmf function to factorize a large matrix (~5000 rows by 60000 columns). I generate the matrix, called V, in Julia and I use the following code to call the function:
w, h, rss = mxcall(:nnmf, 3, V, 2)
Unfortunately this generates the error:
ERROR: MATLAB.MEngineError("failed to put variable jx_nnmf_arg_in_1 into MATLAB session (err = 1)")
Stacktrace:
[1] put_variable(::MSession, ::Symbol, ::Array{Float64,2}) at C:\Users\St. Elmo.julia\packages\MATLAB\SljED\src\engine.jl:153
[2] mxcall(::MSession, ::Symbol, ::Int64, ::Array{Float64,2}, ::Vararg{Any,N} where N) at C:\Users\St. Elmo.julia\packages\MATLAB\SljED\src\engine.jl:283
[3] mxcall(::Symbol, ::Int64, ::Array{Float64,2}, ::Int64) at C:\Users\St. Elmo.julia\packages\MATLAB\SljED\src\engine.jl:317
[4] top-level scope at none:0
I tried this on multiple Julia versions (6.4 and 1.0.2) to the same effect. When I run the same function with the same matrix in Matlab it works. My suspicion is that the large matrix is causing the problem. Is there a way around it?
Ps. This approach works on smaller input matrices.
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Research direction
Start at src/engine.jl around put_variable (line 153) and mxcall (lines 283 and 317), then reproduce the failure with the reported 5000-by-60000 Float64 matrix and a smaller input. Compare the MATLAB engine transfer behavior; done means identifying a supported fix or documented workaround for large variables, with the smaller-matrix behavior preserved.
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Assessment
- Tech stack
- julia, matlab
- Domain
- tooling
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100