==========================================
SLURM_JOB_ID = 721829
SLURM_JOB_NODELIST = gpu003
==========================================
### Running valid_mopoe ###
W&B disabled.
Downloading config file ...
Downloading JNFDcca files for rebuilding...
['dcca_networks', 'decoders']

Downloading dcca_networks.pkl:   0%|          | 0.00/9.00M [00:00<?, ?B/s]
Downloading dcca_networks.pkl: 100%|██████████| 9.00M/9.00M [00:00<00:00, 10.8MB/s]
Downloading dcca_networks.pkl: 100%|██████████| 9.00M/9.00M [00:00<00:00, 10.8MB/s]
Successfully downloaded dcca_networks architecture.

Downloading decoders.pkl:   0%|          | 0.00/11.5M [00:00<?, ?B/s]
Downloading decoders.pkl:  91%|█████████▏| 10.5M/11.5M [00:00<00:00, 12.1MB/s]
Downloading decoders.pkl: 100%|██████████| 11.5M/11.5M [00:00<00:00, 12.8MB/s]
Successfully downloaded decoders architecture.
Successfully downloaded JNFDcca model!
Subset ['m0'] accuracies 
{'m1': 0.6294, 'm2': 0.5826, 'm3': 0.6001, 'm4': 0.427}
Mean subset ['m0'] accuracies : 0.559775
Subset ['m1'] accuracies 
{'m0': 0.4785, 'm2': 0.6687, 'm3': 0.6864, 'm4': 0.4771}
Mean subset ['m1'] accuracies : 0.577675
Subset ['m2'] accuracies 
{'m0': 0.475, 'm1': 0.7235, 'm3': 0.6725, 'm4': 0.4633}
Mean subset ['m2'] accuracies : 0.583575
Subset ['m3'] accuracies 
{'m0': 0.4686, 'm1': 0.6968, 'm2': 0.6444, 'm4': 0.4628}
Mean subset ['m3'] accuracies : 0.56815
Subset ['m4'] accuracies 
{'m0': 0.4363, 'm1': 0.6566, 'm2': 0.6141, 'm3': 0.6259}
Mean subset ['m4'] accuracies : 0.583225
/home/asenella/miniconda3/envs/multivaenv/lib/python3.10/site-packages/torch/_tensor.py:775: UserWarning: non-inplace resize is deprecated
  warnings.warn("non-inplace resize is deprecated")
Subset ['m0', 'm1'] accuracies 
{'m2': 0.7621, 'm3': 0.7977, 'm4': 0.5634}
Mean subset ['m0', 'm1'] accuracies : 0.7077333333333334
Subset ['m0', 'm2'] accuracies 
{'m1': 0.8245, 'm3': 0.7932, 'm4': 0.578}
Mean subset ['m0', 'm2'] accuracies : 0.7319
Subset ['m0', 'm3'] accuracies 
{'m1': 0.8136, 'm2': 0.7553, 'm4': 0.5667}
Mean subset ['m0', 'm3'] accuracies : 0.7118666666666668
Subset ['m0', 'm4'] accuracies 
{'m1': 0.7871, 'm2': 0.7226, 'm3': 0.7663}
Mean subset ['m0', 'm4'] accuracies : 0.7586666666666666
Subset ['m1', 'm2'] accuracies 
{'m0': 0.5551, 'm3': 0.8283, 'm4': 0.576}
Mean subset ['m1', 'm2'] accuracies : 0.6531333333333333
Subset ['m1', 'm3'] accuracies 
{'m0': 0.5559, 'm2': 0.786, 'm4': 0.5633}
Mean subset ['m1', 'm3'] accuracies : 0.6350666666666666
Subset ['m1', 'm4'] accuracies 
{'m0': 0.5502, 'm2': 0.7675, 'm3': 0.8133}
Mean subset ['m1', 'm4'] accuracies : 0.7103333333333333
Subset ['m2', 'm3'] accuracies 
{'m0': 0.5637, 'm1': 0.8423, 'm4': 0.5739}
Mean subset ['m2', 'm3'] accuracies : 0.6599666666666667
Subset ['m2', 'm4'] accuracies 
{'m0': 0.5585, 'm1': 0.824, 'm3': 0.8116}
Mean subset ['m2', 'm4'] accuracies : 0.7313666666666666
Subset ['m3', 'm4'] accuracies 
{'m0': 0.5479, 'm1': 0.8175, 'm2': 0.7578}
Mean subset ['m3', 'm4'] accuracies : 0.7077333333333334
Subset ['m0', 'm1', 'm2'] accuracies 
{'m3': 0.8821, 'm4': 0.6031}
Mean subset ['m0', 'm1', 'm2'] accuracies : 0.7425999999999999
Subset ['m0', 'm1', 'm3'] accuracies 
{'m2': 0.8177, 'm4': 0.6044}
Mean subset ['m0', 'm1', 'm3'] accuracies : 0.71105
Subset ['m0', 'm1', 'm4'] accuracies 
{'m2': 0.8085, 'm3': 0.8683}
Mean subset ['m0', 'm1', 'm4'] accuracies : 0.8384
Subset ['m0', 'm2', 'm3'] accuracies 
{'m1': 0.8935, 'm4': 0.6131}
Mean subset ['m0', 'm2', 'm3'] accuracies : 0.7533
Subset ['m0', 'm2', 'm4'] accuracies 
{'m1': 0.8756, 'm3': 0.8691}
Mean subset ['m0', 'm2', 'm4'] accuracies : 0.87235
Subset ['m0', 'm3', 'm4'] accuracies 
{'m1': 0.8704, 'm2': 0.8053}
Mean subset ['m0', 'm3', 'm4'] accuracies : 0.83785
Subset ['m1', 'm2', 'm3'] accuracies 
{'m0': 0.5897, 'm4': 0.6009}
Mean subset ['m1', 'm2', 'm3'] accuracies : 0.5952999999999999
Subset ['m1', 'm2', 'm4'] accuracies 
{'m0': 0.5734, 'm3': 0.888}
Mean subset ['m1', 'm2', 'm4'] accuracies : 0.7307
Subset ['m1', 'm3', 'm4'] accuracies 
{'m0': 0.5809, 'm2': 0.818}
Mean subset ['m1', 'm3', 'm4'] accuracies : 0.6994499999999999
Subset ['m2', 'm3', 'm4'] accuracies 
{'m0': 0.5923, 'm1': 0.8911}
Mean subset ['m2', 'm3', 'm4'] accuracies : 0.7417
Subset ['m0', 'm1', 'm2', 'm3'] accuracies 
{'m4': 0.6127}
Mean subset ['m0', 'm1', 'm2', 'm3'] accuracies : 0.6127
Subset ['m0', 'm1', 'm2', 'm4'] accuracies 
{'m3': 0.9173}
Mean subset ['m0', 'm1', 'm2', 'm4'] accuracies : 0.9173
Subset ['m0', 'm1', 'm3', 'm4'] accuracies 
{'m2': 0.8293}
Mean subset ['m0', 'm1', 'm3', 'm4'] accuracies : 0.8293
Subset ['m0', 'm2', 'm3', 'm4'] accuracies 
{'m1': 0.918}
Mean subset ['m0', 'm2', 'm3', 'm4'] accuracies : 0.918
Subset ['m1', 'm2', 'm3', 'm4'] accuracies 
{'m0': 0.585}
Mean subset ['m1', 'm2', 'm3', 'm4'] accuracies : 0.585
Conditional accuracies for 1 modalities : 0.5744800000000001 +- 0.009227220599942305
Conditional accuracies for 2 modalities : 0.7007766666666667 +- 0.037175150152876174
Conditional accuracies for 3 modalities : 0.75227 +- 0.07678652290604128
Conditional accuracies for 4 modalities : 0.77246 +- 0.1456405245802143
Joint coherence : 0.029500000178813934
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9600],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9600],
        [0.9600],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9600],
        [1.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9500],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9300]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9400],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9600],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9500],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9800],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9600],
        [0.9700],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [0.9600],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9300],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9600],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9500],
        [1.0000],
        [0.9800],
        [0.9600],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9300],
        [0.9700],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9600],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9400],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9400],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.8700],
        [0.9500],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9500],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9500],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9400],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9400],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9400],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9700],
        [0.9700],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9300],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9700],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9200],
        [0.9800],
        [0.9700],
        [0.9900],
        [0.9200],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.8800],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9500],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9300],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9400]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9300],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9300]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9200],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9100],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9300],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9400],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9500],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9100]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9400],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9600],
        [1.0000],
        [1.0000],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.8800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9500],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9600],
        [0.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9600],
        [0.9800],
        [0.9800],
        [0.9600],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9600],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9600],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9200],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9100],
        [0.9700],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.8800],
        [0.9600],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9700],
        [0.9500],
        [0.9600],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9300],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9400],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9700],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9600],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9400],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9600],
        [0.9700],
        [0.9700],
        [0.9000],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.6600],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9100],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9400],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9600],
        [1.0000],
        [0.9200],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9600],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9200],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.2400],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9400],
        [0.8200],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9500],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9300],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9600],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9500],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9600],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9500],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.8500],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.8100],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.9600],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9600],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9600],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9500],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9200],
        [0.9900],
        [0.9600],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [0.9400],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9600],
        [0.9800],
        [1.0000],
        [0.8600],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.8300]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9100],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9300],
        [0.9400],
        [0.9900],
        [0.9700],
        [0.9400],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9400],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9500],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9100],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9700],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.8600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.8600],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9300],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9500],
        [0.9900],
        [1.0000],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9400]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9400],
        [1.0000],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9500],
        [0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9300],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9100],
        [0.9800],
        [0.9800],
        [0.9700],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9600],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9500],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.8900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9400],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9600],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9500],
        [1.0000],
        [0.9600],
        [0.9800],
        [0.9400],
        [1.0000],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9600],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9500],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.8900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9400],
        [1.0000],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9700],
        [0.9700],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.0000],
        [0.9700],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.8600],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [0.9400],
        [0.9300],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9200],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9500],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9600],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9200],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.8500],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9400],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.8500],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9600],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9300],
        [0.9800],
        [0.9700],
        [0.9400]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9700],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.7600],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9600],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9600],
        [0.9600],
        [0.9500],
        [0.9700],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9300],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9600],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9600],
        [1.0000],
        [0.9900],
        [0.9600],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9100],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9100],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9500],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9500],
        [1.0000],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9100],
        [0.9700],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.0000],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9700],
        [0.3900],
        [0.9400],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9600],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9400],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9600],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9200],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.8800],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9600],
        [0.9100],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9600],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9600],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9700],
        [0.8000],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.8600],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9600],
        [1.0000],
        [0.9300],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9600],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9600],
        [0.9800],
        [0.9600],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9500],
        [0.9900],
        [1.0000],
        [0.9600],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9300]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9000],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9600],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.8700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9600],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9000],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.0000],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9900],
        [0.7400],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9700],
        [0.9600],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9700],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9300],
        [0.9600],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.8800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9600],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9600],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9500],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9500],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9600],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9100],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9600],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9100]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.8900],
        [0.9900],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.3600],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9900],
        [0.9700],
        [0.8800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9300],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9500],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.8600],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9600],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9400],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9600],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9600],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9400],
        [0.9800],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9500],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9100],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.0000],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [0.8200],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9700],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.8700],
        [0.9600],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [1.0000],
        [0.9600],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9800],
        [0.9500],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9300],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9600],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9500],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9600],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9600],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9700],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.8900],
        [0.9700],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9400],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9800],
        [0.2500],
        [1.0000],
        [1.0000],
        [0.9400],
        [0.9700],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9300],
        [0.9200],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.0000],
        [0.9700],
        [0.9700],
        [0.9700],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9200],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9100],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.8700],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9600],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9400],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9100],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.8200]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9000],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.0000],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9900],
        [0.8300],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9300],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9600],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9200],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.0000],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9500],
        [0.9900],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9600],
        [0.9900],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.8500],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9300]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9400],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9600],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9400],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9000],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9500],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9300],
        [0.9600],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9200],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.8900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9600],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9600],
        [0.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [0.9800],
        [0.2500],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9900],
        [0.9100],
        [0.9200],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9600],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9500],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.9600],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9300]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [0.9600],
        [0.9600],
        [0.9900],
        [0.9400],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9000],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9500]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9500],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9000],
        [0.9900],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.0000],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9700],
        [1.0000],
        [0.7800],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9900],
        [0.9500],
        [0.9300],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9400],
        [0.9800],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9400],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [0.9900],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9600],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [1.0000],
        [0.9500],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9200]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9600],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9700],
        [0.9200],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.8600],
        [0.9900],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.7900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9600]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9800],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9300],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9400],
        [0.9900],
        [0.9700],
        [0.9700],
        [0.9800],
        [0.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [1.0000],
        [0.4200],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9600],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9400],
        [1.0000],
        [1.0000],
        [0.9200],
        [1.0000],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9700],
        [0.9800],
        [1.0000],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9700],
        [1.0000],
        [0.9700],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9800],
        [0.0000],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9700],
        [0.9600],
        [1.0000],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9800],
        [0.9000],
        [0.9900],
        [0.9800],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9700],
        [0.9600],
        [0.9600],
        [0.9500],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [0.9700],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9600],
        [1.0000],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9700],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9700],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9400],
        [0.9700],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900],
        [1.0000],
        [1.0000],
        [1.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9600],
        [1.0000],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9700],
        [0.8900],
        [0.9400]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9700],
        [1.0000],
        [0.9100]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [0.9900],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9700],
        [0.9900],
        [0.9800],
        [1.0000]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.0000],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9700],
        [1.0000],
        [0.3800],
        [1.0000],
        [1.0000],
        [0.9700],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [1.0000],
        [1.0000],
        [0.9600],
        [0.8600],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9500],
        [0.9900],
        [0.9700],
        [0.9900],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9500],
        [0.9900],
        [0.9900],
        [0.9600],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9700],
        [0.0000],
        [0.9700],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9800],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9700],
        [0.9900],
        [0.9700],
        [0.9900],
        [1.0000],
        [0.9800],
        [1.0000],
        [1.0000],
        [0.9900],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9900],
        [0.9900],
        [0.8800],
        [0.9900],
        [0.9700],
        [1.0000],
        [0.9600],
        [0.9700],
        [1.0000],
        [0.9700]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[1.0000],
        [0.9900],
        [0.9700],
        [0.9800],
        [0.9900],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9800],
        [0.9900]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [0.9800],
        [1.0000],
        [0.9800],
        [0.9900],
        [1.0000],
        [0.9900],
        [0.9900],
        [0.9800]], device='cuda:0')
starting to sample from poe_subset, divide prior =  True
tensor([[0.9800],
        [0.9900],
        [1.0000],
        [0.9800],
        [0.9800],
        [0.9400],
        [0.9900],
        [0.9900],
        [0.9800],
        [0.9200]], device='cuda:0')
Traceback (most recent call last):
  File "/home/asenella/dev/multivae_package/multimodal_vaes/examples/mmnist/validate/script_hf.py", line 34, in <module>
    operations=[CommitOperationAdd(path_or_fileobj=tmp_output + '/metrics.log')])
TypeError: CommitOperationAdd.__init__() missing 1 required positional argument: 'path_in_repo'