Update cluster submit script
#BSUB -R rusage[ngpus_excl_p=1] # 1 exclusive GPU
#BSUB -R span[hosts=1] # one node
#BSUB -n 1 # number of compute cores
-#BSUB -W 10:00 # walltime in HH:MM
-#BSUB -R rusage[mem=20000] # mb memory requested
+#BSUB -W 46:00 # walltime in HH:MM
+#BSUB -R rusage[mem=30000] # mb memory requested
#BSUB -o {work_dir}/%J.stdout # output log (%J : JobID)
#BSUB -eo {work_dir}/STDERR # error log
#BSUB -L /bin/bash # Initialize the execution environment
@@ -25,17 +25,11 @@ export KMP_SETTINGS=1
free -m
-module add cuda/10.0.130
+#module add cuda/10.0.130 cudnn/7.1.1
+#module add cuda/10.1.105 cudnn/7.1.1
+module add cuda/10.1.105 cudnn/7.6.5
module list
-export CUDNN_HOME=/hpc/users/odonnt02/oss/cudnn/cuda
-export LD_LIBRARY_PATH=$CUDNN_HOME/lib64:$LD_LIBRARY_PATH
-export CMAKE_LIBRARY_PATH=$CUDNN_HOME/lib64:$CMAKE_LIBRARY_PATH
-export INCLUDE_PATH=$CUDNN_HOME/include:$INCLUDE_PATH
-export C_INCLUDE_PATH=$CUDNN_HOME/include:$C_INCLUDE_PATH
-export CPLUS_INCLUDE_PATH=$CUDNN_HOME/include:$CPLUS_INCLUDE_PATH
-export CMAKE_INCLUDE_PATH=$CUDNN_HOME/include:$CMAKE_INCLUDE_PATH
-
python -c 'import tensorflow as tf ; print("GPU AVAILABLE" if tf.test.is_gpu_available() else "GPU NOT AVAILABLE")'
env
