Params:
- num_input_rows=200
- num_input_vars=5
- num_input_vals=5
- 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    14937.08         4164.32          642.13          15.18         True
     poons_multi      14     118      100.70           58.99           46.70          16.73         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   12982    15606.76        11335.87         2206.36          68.94         True
     poons_multi      14     118      466.55           34.36           17.77           1.37         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    15577.12         4228.68          641.07          19.11         True
     poons_multi      14     222      181.30           61.27           57.64          21.91         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   13321    16729.46         4084.89          775.15          72.27         True
     poons_multi      14     222      180.84           60.28           12.61           2.16         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    15004.54         4107.42          531.48          16.92         True
     poons_multi      14     138      115.10           41.71           21.35          19.36         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   12982    15229.84         4406.04          724.71          70.06         True
     poons_multi      14     138      107.84           38.99            6.10           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    15418.55         4232.85          545.08          15.72         True
     poons_multi      14     145      112.10           41.26           18.79          17.27         True
 GPU          op  SPN_size  TF_size  setup_time weights_init_time  first_run_time  rest_run_time    correct
     poon_single    3178   13009    15090.75         4204.63          676.09          68.17         True
     poons_multi      14     145      114.55           42.26            6.18           1.49         True
