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2.0 KiB
&( executable = "workbench.sh" )( stdout = "out.txt" )( stderr = "err.txt" )( cputime = "45000" )( walltime = "45000" )( memory = "12000" )( inputfiles = ( "workbench.py" ".412054917326" ) ( "prepare_data.py" ".422203461399818" ) ( "content_shuffle_vector.h5" "124536" ) ( "shuffle_vector_test.h5" "418608" ) ( "shuffle_vector_train.h5" "3443352" ) ( "shuffle_vector_validate.h5" "435920" ) ( "SlovarIJS_BESEDE_utf8.lex" "29360549" ) ( "40_epoch.h5" ".04294967295" ) ( "40_epoch_history.pkl" ".04294967295" ) ( "notes" ".791623890922" ) ( "workbench.sh" ".1433001277835" ) )( executables = "workbench.sh" )( outputfiles = ( "40_epoch.h5" "" ) ( "workbench.py" "" ) ( "workbench.sh" "" ) ( "40_epoch_history.pkl" "" ) ( "notes" "" ) ( "out.txt" "" ) ( "err.txt" "" ) ( "gmlog" "" ) )( queue = "gridlong_nsc" )( runtimeenvironment = "APPS/BASE/THEANO-GPU-0.9" )( gmlog = "gmlog" )( jobname = "accetuation_nn" )( action = "request" )( clientsoftware = "libarccompute-5.0.5" )( clientxrsl = "&( jobname = ""accetuation_nn"" )( executable = ""workbench.sh"" )( inputfiles = ( ""workbench.py"" """" ) ( ""prepare_data.py"" """" ) ( ""content_shuffle_vector.h5"" ""cnn/internal_representations/inputs/content_shuffle_vector.h5"" ) ( ""shuffle_vector_test.h5"" ""cnn/internal_representations/inputs/shuffle_vector_test.h5"" ) ( ""shuffle_vector_train.h5"" ""cnn/internal_representations/inputs/shuffle_vector_train.h5"" ) ( ""shuffle_vector_validate.h5"" ""cnn/internal_representations/inputs/shuffle_vector_validate.h5"" ) ( ""SlovarIJS_BESEDE_utf8.lex"" ""data/SlovarIJS_BESEDE_utf8.lex"" ) ( ""40_epoch.h5"" """" ) ( ""40_epoch_history.pkl"" """" ) ( ""notes"" """" ) )( outputfiles = ( ""40_epoch.h5"" """" ) ( ""workbench.py"" """" ) ( ""workbench.sh"" """" ) ( ""40_epoch_history.pkl"" """" ) ( ""notes"" """" ) )( stdout = ""out.txt"" )( stderr = ""err.txt"" )( gmlog = ""gmlog"" )( runtimeenvironment = ""APPS/BASE/THEANO-GPU-0.9"" )( gridtime = ""750"" )( memory = ""12000"" )" )( hostname = "luka-laptop" )( savestate = "yes" ) |