Params:
- num_input_rows=200
- num_input_vars=5
- num_input_vals=10
- num_mixtures=5
- num_subsets=5
- num_networks=1
- num_runs=50

Running tests:
--> poon_single: on_gpu=False, inputs_shape=(200, 5), inference=MARGINAL, log=False
--> poon_single: on_gpu=True, inputs_shape=(200, 5), inference=MARGINAL, log=False
--> poons_multi: on_gpu=False, inputs_shape=(200, 5), inference=MARGINAL, log=False
--> poons_multi: on_gpu=True, inputs_shape=(200, 5), inference=MARGINAL, log=False
--> poon_single: on_gpu=False, inputs_shape=(200, 5), inference=MARGINAL, log=True
--> poon_single: on_gpu=True, inputs_shape=(200, 5), inference=MARGINAL, log=True
--> poons_multi: on_gpu=False, inputs_shape=(200, 5), inference=MARGINAL, log=True
--> poons_multi: on_gpu=True, inputs_shape=(200, 5), inference=MARGINAL, log=True
--> poon_single: on_gpu=False, inputs_shape=(200, 5), inference=MPE, log=False
--> poon_single: on_gpu=True, inputs_shape=(200, 5), inference=MPE, log=False
--> poons_multi: on_gpu=False, inputs_shape=(200, 5), inference=MPE, log=False
--> poons_multi: on_gpu=True, inputs_shape=(200, 5), inference=MPE, log=False
--> poon_single: on_gpu=False, inputs_shape=(200, 5), inference=MPE, log=True
--> poon_single: on_gpu=True, inputs_shape=(200, 5), inference=MPE, log=True
--> poons_multi: on_gpu=False, inputs_shape=(200, 5), inference=MPE, log=True
--> poons_multi: on_gpu=True, inputs_shape=(200, 5), inference=MPE, log=True

-----------------------
InferenceType: MARGINAL
-----------------------
 CPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   12982    14468.50         3798.36          508.93          14.81         True
     poons_multi      14     118       97.49           36.01           19.31          17.09         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   12982    15188.18         4781.46         1017.65          75.58         True
     poons_multi      14     118      462.01           34.96            5.12           1.34         True

-----------------------
InferenceType: MARGINAL-LOG
-----------------------
 CPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   13321    15143.37         3891.45          531.29          17.99         True
     poons_multi      14     222      159.90           56.30           23.28          19.35         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   13321    14949.60         3888.60          651.75          66.41         True
     poons_multi      14     222      160.25           54.64           10.01           1.81         True

-----------------------
InferenceType: MPE
-----------------------
 CPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   12982    14526.32         4006.21          512.79          16.96         True
     poons_multi      14     138      105.42           38.48           20.46          18.52         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   12982    14682.86         4114.26          646.73          65.15         True
     poons_multi      14     138      102.89           37.76            6.82           1.47         True

-----------------------
InferenceType: MPE-LOG
-----------------------
 CPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   13009    15384.41         4266.87          556.47          16.54         True
     poons_multi      14     145      113.00           41.00           20.36          17.47         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   13009    17616.80         4424.91          698.81          70.50         True
     poons_multi      14     145      113.18           43.46            5.78           1.39         True
