
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.9)
=> Add worker SGDMWorker(index=1, momentum=0.9)
=> Add worker SGDMWorker(index=2, momentum=0.9)
=> Add worker SGDMWorker(index=3, momentum=0.9)
=> Add worker SGDMWorker(index=4, momentum=0.9)
=> Add worker SGDMWorker(index=5, momentum=0.9)
=> Add worker SGDMWorker(index=6, momentum=0.9)
=> Add worker SGDMWorker(index=7, momentum=0.9)
=> Add worker SGDMWorker(index=8, momentum=0.9)
=> Add worker SGDMWorker(index=9, momentum=0.9)
=> Add worker SGDMWorker(index=10, momentum=0.9)
=> Add worker SGDMWorker(index=11, momentum=0.9)
=> Add worker SGDMWorker(index=12, momentum=0.9)
=> Add worker SGDMWorker(index=13, momentum=0.9)
=> Add worker SGDMWorker(index=14, momentum=0.9)
=> Add worker SGDMWorker(index=15, momentum=0.9)
=> Add worker SGDMWorker(index=16, momentum=0.9)
=> Add worker SGDMWorker(index=17, momentum=0.9)
=> Add worker SGDMWorker(index=18, momentum=0.9)
=> Add worker SGDMWorker(index=19, momentum=0.9)
=> Add worker BitFlippingWorker
=> Add worker BitFlippingWorker

=== Start adding graph ===
<codes.graph_utils.DumbbellVariant object at 0x7f78d5fb62e0>

Train epoch 1
[E 1B0  |    704/60000 (  1%) ] Loss: 2.3066 top1=  9.2188

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([3, 2, 2, 4, 3], device='cuda:0')
Worker 1 has targets: tensor([1, 0, 0, 4, 0], device='cuda:0')
Worker 2 has targets: tensor([4, 1, 0, 1, 0], device='cuda:0')
Worker 3 has targets: tensor([0, 1, 4, 1, 3], device='cuda:0')
Worker 4 has targets: tensor([0, 4, 1, 2, 4], device='cuda:0')
Worker 5 has targets: tensor([2, 2, 4, 4, 4], device='cuda:0')
Worker 6 has targets: tensor([1, 1, 4, 4, 3], device='cuda:0')
Worker 7 has targets: tensor([4, 4, 1, 3, 0], device='cuda:0')
Worker 8 has targets: tensor([1, 3, 1, 0, 4], device='cuda:0')
Worker 9 has targets: tensor([1, 3, 3, 3, 1], device='cuda:0')
Worker 10 has targets: tensor([8, 9, 7, 7, 9], device='cuda:0')
Worker 11 has targets: tensor([8, 9, 6, 6, 7], device='cuda:0')
Worker 12 has targets: tensor([8, 6, 5, 7, 8], device='cuda:0')
Worker 13 has targets: tensor([7, 6, 9, 6, 5], device='cuda:0')
Worker 14 has targets: tensor([8, 5, 8, 6, 7], device='cuda:0')
Worker 15 has targets: tensor([9, 5, 6, 8, 6], device='cuda:0')
Worker 16 has targets: tensor([7, 7, 8, 5, 8], device='cuda:0')
Worker 17 has targets: tensor([9, 7, 5, 6, 6], device='cuda:0')
Worker 18 has targets: tensor([7, 7, 7, 6, 6], device='cuda:0')
Worker 19 has targets: tensor([5, 7, 9, 9, 7], device='cuda:0')
Worker 20 has targets: tensor([3, 2, 2, 4, 3], device='cuda:0')
Worker 21 has targets: tensor([8, 9, 7, 7, 9], device='cuda:0')


[E 1B10 |   7744/60000 ( 13%) ] Loss: 1.0311 top1= 62.3438
[E 1B20 |  14784/60000 ( 25%) ] Loss: 0.3991 top1= 88.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7310 top1= 78.7260


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.0323 top1= 49.2989


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8003 top1= 44.2308

Train epoch 2
[E 2B0  |    704/60000 (  1%) ] Loss: 0.2803 top1= 90.7812
[E 2B10 |   7744/60000 ( 13%) ] Loss: 0.1882 top1= 93.7500
[E 2B20 |  14784/60000 ( 25%) ] Loss: 0.1961 top1= 94.5312

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6861 top1= 84.3450


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5964 top1= 49.8297


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.6092 top1= 45.8033

Train epoch 3
[E 3B0  |    704/60000 (  1%) ] Loss: 0.1626 top1= 95.0000
[E 3B10 |   7744/60000 ( 13%) ] Loss: 0.1097 top1= 96.4062
[E 3B20 |  14784/60000 ( 25%) ] Loss: 0.1207 top1= 96.7188

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6260 top1= 85.7672


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5701 top1= 50.1302


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.7439 top1= 46.1739

Train epoch 4
[E 4B0  |    704/60000 (  1%) ] Loss: 0.1173 top1= 96.5625
[E 4B10 |   7744/60000 ( 13%) ] Loss: 0.0788 top1= 97.8125
[E 4B20 |  14784/60000 ( 25%) ] Loss: 0.0781 top1= 97.5000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5699 top1= 86.3982


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7715 top1= 50.3806


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.8572 top1= 46.4744

Train epoch 5
[E 5B0  |    704/60000 (  1%) ] Loss: 0.0799 top1= 97.9688
[E 5B10 |   7744/60000 ( 13%) ] Loss: 0.0590 top1= 98.4375
[E 5B20 |  14784/60000 ( 25%) ] Loss: 0.0546 top1= 98.2812

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5252 top1= 86.3381


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9765 top1= 50.4207


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.9900 top1= 46.6446

Train epoch 6
[E 6B0  |    704/60000 (  1%) ] Loss: 0.0569 top1= 98.9062
[E 6B10 |   7744/60000 ( 13%) ] Loss: 0.0406 top1= 99.0625
[E 6B20 |  14784/60000 ( 25%) ] Loss: 0.0404 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4894 top1= 87.1294


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2035 top1= 50.5609


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0163 top1= 46.9151

Train epoch 7
[E 7B0  |    704/60000 (  1%) ] Loss: 0.0402 top1= 99.0625
[E 7B10 |   7744/60000 ( 13%) ] Loss: 0.0279 top1= 99.3750
[E 7B20 |  14784/60000 ( 25%) ] Loss: 0.0333 top1= 98.9062

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4544 top1= 87.7404


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4785 top1= 50.5108


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.1211 top1= 46.8750

Train epoch 8
[E 8B0  |    704/60000 (  1%) ] Loss: 0.0294 top1= 99.3750
[E 8B10 |   7744/60000 ( 13%) ] Loss: 0.0219 top1= 99.6875
[E 8B20 |  14784/60000 ( 25%) ] Loss: 0.0216 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4405 top1= 86.8089


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6754 top1= 50.5108


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.4728 top1= 46.9050

Train epoch 9
[E 9B0  |    704/60000 (  1%) ] Loss: 0.0257 top1= 99.0625
[E 9B10 |   7744/60000 ( 13%) ] Loss: 0.0158 top1= 99.8438
[E 9B20 |  14784/60000 ( 25%) ] Loss: 0.0161 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4167 top1= 87.6703


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6042 top1= 50.5409


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.8639 top1= 46.8049

Train epoch 10
[E10B0  |    704/60000 (  1%) ] Loss: 0.0153 top1= 99.6875
[E10B10 |   7744/60000 ( 13%) ] Loss: 0.0132 top1= 99.8438
[E10B20 |  14784/60000 ( 25%) ] Loss: 0.0218 top1= 99.2188

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4190 top1= 87.1094


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4983 top1= 50.6611


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0261 top1= 46.9651

Train epoch 11
[E11B0  |    704/60000 (  1%) ] Loss: 0.0095 top1= 99.8438
[E11B10 |   7744/60000 ( 13%) ] Loss: 0.0093 top1=100.0000
[E11B20 |  14784/60000 ( 25%) ] Loss: 0.0159 top1= 99.5312

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4341 top1= 85.9675


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3829 top1= 50.6110


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2770 top1= 46.7748

Train epoch 12
[E12B0  |    704/60000 (  1%) ] Loss: 0.0183 top1= 99.3750
[E12B10 |   7744/60000 ( 13%) ] Loss: 0.0104 top1= 99.8438
[E12B20 |  14784/60000 ( 25%) ] Loss: 0.0095 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3928 top1= 88.0909


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2277 top1= 50.6811


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2659 top1= 47.0954

Train epoch 13
[E13B0  |    704/60000 (  1%) ] Loss: 0.0058 top1=100.0000
[E13B10 |   7744/60000 ( 13%) ] Loss: 0.0101 top1= 99.8438
[E13B20 |  14784/60000 ( 25%) ] Loss: 0.0076 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3777 top1= 88.5917


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2118 top1= 50.6611


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1562 top1= 47.1454

Train epoch 14
[E14B0  |    704/60000 (  1%) ] Loss: 0.0045 top1=100.0000
[E14B10 |   7744/60000 ( 13%) ] Loss: 0.0044 top1=100.0000
[E14B20 |  14784/60000 ( 25%) ] Loss: 0.0095 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3683 top1= 88.9423


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3631 top1= 50.6911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.9259 top1= 46.9351

Train epoch 15
[E15B0  |    704/60000 (  1%) ] Loss: 0.0073 top1= 99.8438
[E15B10 |   7744/60000 ( 13%) ] Loss: 0.0030 top1=100.0000
[E15B20 |  14784/60000 ( 25%) ] Loss: 0.0101 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3564 top1= 89.1927


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5954 top1= 50.7312


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1331 top1= 47.1154

Train epoch 16
[E16B0  |    704/60000 (  1%) ] Loss: 0.0026 top1=100.0000
[E16B10 |   7744/60000 ( 13%) ] Loss: 0.0025 top1=100.0000
[E16B20 |  14784/60000 ( 25%) ] Loss: 0.0032 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3574 top1= 88.6619


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6761 top1= 50.7212


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1714 top1= 47.1755

Train epoch 17
[E17B0  |    704/60000 (  1%) ] Loss: 0.0021 top1=100.0000
[E17B10 |   7744/60000 ( 13%) ] Loss: 0.0023 top1=100.0000
[E17B20 |  14784/60000 ( 25%) ] Loss: 0.0025 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3572 top1= 88.7220


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7106 top1= 50.7312


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2148 top1= 47.2356

Train epoch 18
[E18B0  |    704/60000 (  1%) ] Loss: 0.0018 top1=100.0000
[E18B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E18B20 |  14784/60000 ( 25%) ] Loss: 0.0021 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3594 top1= 88.4415


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7252 top1= 50.7312


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2418 top1= 47.2456

Train epoch 19
[E19B0  |    704/60000 (  1%) ] Loss: 0.0018 top1=100.0000
[E19B10 |   7744/60000 ( 13%) ] Loss: 0.0019 top1=100.0000
[E19B20 |  14784/60000 ( 25%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3600 top1= 88.3514


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7210 top1= 50.7412


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2495 top1= 47.2055

Train epoch 20
[E20B0  |    704/60000 (  1%) ] Loss: 0.0018 top1=100.0000
[E20B10 |   7744/60000 ( 13%) ] Loss: 0.0017 top1=100.0000
[E20B20 |  14784/60000 ( 25%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3574 top1= 88.4014


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7035 top1= 50.7412


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2472 top1= 47.1955

Train epoch 21
[E21B0  |    704/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E21B10 |   7744/60000 ( 13%) ] Loss: 0.0016 top1=100.0000
[E21B20 |  14784/60000 ( 25%) ] Loss: 0.0017 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3543 top1= 88.5216


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6810 top1= 50.7412


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2379 top1= 47.1855

Train epoch 22
[E22B0  |    704/60000 (  1%) ] Loss: 0.0016 top1=100.0000
[E22B10 |   7744/60000 ( 13%) ] Loss: 0.0015 top1=100.0000
[E22B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3521 top1= 88.5817


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6523 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2174 top1= 47.1855

Train epoch 23
[E23B0  |    704/60000 (  1%) ] Loss: 0.0016 top1=100.0000
[E23B10 |   7744/60000 ( 13%) ] Loss: 0.0014 top1=100.0000
[E23B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3500 top1= 88.6719


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6172 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1831 top1= 47.2055

Train epoch 24
[E24B0  |    704/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E24B10 |   7744/60000 ( 13%) ] Loss: 0.0014 top1=100.0000
[E24B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3478 top1= 88.7420


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5716 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1371 top1= 47.1655

Train epoch 25
[E25B0  |    704/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E25B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E25B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3459 top1= 88.7921


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5256 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0833 top1= 47.1554

Train epoch 26
[E26B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E26B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E26B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3434 top1= 88.7720


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4781 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0195 top1= 47.1655

Train epoch 27
[E27B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E27B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E27B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3415 top1= 88.8321


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4242 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.9582 top1= 47.1755

Train epoch 28
[E28B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E28B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E28B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3391 top1= 88.9523


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3715 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.8920 top1= 47.1554

Train epoch 29
[E29B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E29B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E29B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3370 top1= 89.0825


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3162 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.8273 top1= 47.1655

Train epoch 30
[E30B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E30B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E30B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3349 top1= 89.1627


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2583 top1= 50.7412


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.7557 top1= 47.1755

