old_contents: import os
  import subprocess
  
  datafile = 'data/benchmark_GAN_generated_cosmo_maps_64.npy'
  output_size = 64
  epoch = 1
  flip_labels = 0.01
  batch_size = 64
  z_dim = 64
  nd_layers = 4
  ng_layers = 4
  gf_dim = 64
  df_dim = 64
  save_every_step = 'False'
  data_format = 'NHWC'
  transpose_matmul_b = False
  verbose = 'False'
  arch = 'default'
  
  experiment = 'cosmo_primary_256_200k_batchSize%i_flipLabel%0.3f_'\
               'nd%i_ng%i_gfdim%i_dfdim%i_zdim%i'%(batch_size, flip_labels, nd_layers,\
                                                   ng_layers, gf_dim, df_dim, z_dim)
  
  command = 'python dcgan/main.py --dataset cosmo --datafile %s '\
            '--output_size %i --flip_labels %f --experiment %s '\
            '--epoch %i --batch_size %i --z_dim %i '\
            '--nd_layers %i --ng_layers %i --gf_dim %i --df_dim %i --save_every_step %s '\
            '--data_format %s --transpose_matmul_b %s --verbose %s --arch %s'%(datafile, output_size, flip_labels, experiment,\
                                                                     epoch, batch_size, z_dim,\
                                                                     nd_layers, ng_layers, gf_dim, df_dim, save_every_step,\
                                                                     data_format, transpose_matmul_b, verbose, arch)
  
  # if not os.path.isdir('output'):
      # os.mkdir('output')
  
  print command.split()
  # f_out = open('output/'+experiment+'.log', 'w')
  # subprocess.call(command.split(), stdout=f_out)
  subprocess.call(command.split())
  
new_contents: import os
  import subprocess
  
  datafile = 'data/benchmark_GAN_generated_cosmo_maps_64.npy'
  output_size = 64
  epoch = 1
  flip_labels = 0.01
  batch_size = 64
  z_dim = 64
  nd_layers = 4
  ng_layers = 4
  gf_dim = 64
  df_dim = 64
  save_every_step = 'False'
  data_format = 'NHWC'
  transpose_matmul_b = False
  verbose = 'False'
  arch = 'default' #default, KNL or HSW
  
  experiment = 'cosmo_primary_256_200k_batchSize%i_flipLabel%0.3f_'\
               'nd%i_ng%i_gfdim%i_dfdim%i_zdim%i'%(batch_size, flip_labels, nd_layers,\
                                                   ng_layers, gf_dim, df_dim, z_dim)
  
  command = 'python dcgan/main.py --dataset cosmo --datafile %s '\
            '--output_size %i --flip_labels %f --experiment %s '\
            '--epoch %i --batch_size %i --z_dim %i '\
            '--nd_layers %i --ng_layers %i --gf_dim %i --df_dim %i --save_every_step %s '\
            '--data_format %s --transpose_matmul_b %s --verbose %s --arch %s'%(datafile, output_size, flip_labels, experiment,\
                                                                     epoch, batch_size, z_dim,\
                                                                     nd_layers, ng_layers, gf_dim, df_dim, save_every_step,\
                                                                     data_format, transpose_matmul_b, verbose, arch)
  
  # if not os.path.isdir('output'):
      # os.mkdir('output')
  
  print command.split()
  # f_out = open('output/'+experiment+'.log', 'w')
  # subprocess.call(command.split(), stdout=f_out)
  subprocess.call(command.split())
  
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