fixes

downloads-generation/data_evaluation/cluster_submit_script_header.mssm_hpc.lsf

 #!/bin/bash
 #BSUB -J MHCf # Job name
 #BSUB -P acc_nkcancer # allocation account or Unix group
-#BSUB -q gpu # queue
-#BSUB -R rusage[ngpus_excl_p=1]  # 1 exclusive GPU
+#BSUB -q premium # queue
 #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 40:00 # walltime in HH:MM
+#BSUB -R rusage[mem=45000] # mb memory requested
 #BSUB -o %J.stdout # output log (%J : JobID)
 #BSUB -eo %J.stderr # error log
 #BSUB -L /bin/bash # Initialize the execution environment
@@ -24,19 +23,6 @@ export PYTHONUNBUFFERED=1
 export KMP_SETTINGS=1
 
 free -m
-
-module add cuda/10.0.130
 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