Errors during training on AWS instances.

[ramreddymettu]

Hi all, I'm trying to train AdaGram model on AWS Instances (32Gb RAM, 16 CPU Cores) but is showing following errors but i'm able to train model on my local machine. I'm using Julia 0.4.5. and 13 Gb data.

**Building dictionary...
signal (7): Bus error

signal (7): Bus error
_unsafe_batchsetindex! at ./multidimensional.jl:329
_unsafe_batchsetindex! at ./multidimensional.jl:329
setindex! at ./abstractarray.jl:592
setindex! at ./abstractarray.jl:592
anonymous at /home/ram/.julia/v0.4/AdaGram/src/AdaGram.jl:55
anonymous at /home/ram/.julia/v0.4/AdaGram/src/AdaGram.jl:55
Worker 3 terminated.
Worker 2 terminated.ERROR (unhandled task failure): EOFError: read end of file

ERROR (unhandled task failure): EOFError: read end of file
ArgumentError: stream is closed or unusable
in uv_write at ./stream.jl:948ArgumentError: stream is closed or unusable
in uv_write at ./stream.jl:948ArgumentError: stream is closed or unusable
in uv_write at ./stream.jl:948ERROR: LoadError: ProcessExitedException()
in fetch at ./channels.jl:47
in remotecall_wait at ./multi.jl:762

...and 1 other exceptions.

[inlined code] from ./task.jl:422
in SharedArray at ./sharedarray.jl:104
while loading /home/ram/.julia/v0.4/AdaGram/train.jl, in expression starting on line 96**