train_compress_comb.sub

#executable = /home/kadamczewski/miniconda3/envs/BayesianNeuralNetwork/bin/python
executable = /usr/bin/unbuffer

arguments = /home/kadamczewski/miniconda3/bin/python /home/kadamczewski/Dropbox_from/Current_research/ranking/results_compression/lenet_network_pruning.py


#var=lenet_$(method)_$(switch_samps)_retraining_$(dataset)_$(arch)
#var=lenet_multiple_$(dataset)_$(arch)_switch
var = combinations_lenet_mnist_9927_c5

error = clust/clust_err/$(var).$(Process).err
output = clust/clust_out/$(var).$(Process).out
log = clust/clust_log/$(var).$(Process).log
#requirements = TARGET.CUDAGlobalMemoryMb > 15000
#buffer_size = 1000
#stream_output=True
request_memory = 8040
request_cpus = 1
request_gpus = 1
queue 1

#dummy

#CHECK
#switch_point_multiple