tensorflowScript.sge

## NOTE: This script must be in the SAME direcotry as the python script

## Leave Unchanged ----------------------------------------------
#$ -S /bin/bash
#$ -V

#$ -m n
#$ -cwd

##Output file for stdout and stderr
#$ -j y -o $JOB_NAME.out -e $JOB_NAME.err

##---------------------------------------------------------------

##Array job (2 tasks for this job, with SGE_TASK_ID from 1 to 1):
##Therefore two versions of this scirpt will run, with two different SGE_TASK_ID

#$ -t 1-1:1

##---------------------------------------------------------------
## GPU Job using 1 CPU cores
#$ -pe gpu 1

##---------------------------------------------------------------
## This details which GPU and how many to use
## NOTE: num_GTXany_per_task has to equal the same number as 
##		 num_GTX980_per_task or num_GTX1080_per_task.

#$ -l num_GTXany_per_task=2
#$ -l num_GTX1080_per_task=2


##---------------------------------------------------------------

dateAndTime=`date +%Y%m%d-%H%M%S`
launched=`date +%s`
let minutesApproxHalfMax=4*60 

##Enter the name of the program you are running here
PROGRAM='train_fold.py'

##If you need to pass any arguments place them here
ARGUMENTS=''

##This runs the python script and produces two output files 
python ./${PROGRAM} ${ARGUMENTS} > ${PROGRAM}_${SGE_TASK_ID}.out 2>${PROGRAM}_${SGE_TASK_ID}.err

## Produces a log file so you can see where the program ran and how long for
echo Task $SGE_TASK_ID running on `hostname` at `date +%H:%M:%S' on '%d%b%Y' : '%s' seconds'` &>>${PROGRAM}.log