
=== 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 0x7f1f2f3e02e0>

Train epoch 1
[E 1B0  |    704/60000 (  1%) ] Loss: 2.3080 top1=  8.4375

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


[E 1B10 |   7744/60000 ( 13%) ] Loss: 1.8923 top1= 49.6875
[E 1B20 |  14784/60000 ( 25%) ] Loss: 0.8121 top1= 75.7812

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4197 top1= 87.6002


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4512 top1= 86.7688


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4647 top1= 85.9275

Train epoch 2
[E 2B0  |    704/60000 (  1%) ] Loss: 0.5111 top1= 82.8125
[E 2B10 |   7744/60000 ( 13%) ] Loss: 0.4574 top1= 84.2188
[E 2B20 |  14784/60000 ( 25%) ] Loss: 0.3777 top1= 87.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2776 top1= 92.0573


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2862 top1= 91.4263


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2955 top1= 91.5665

Train epoch 3
[E 3B0  |    704/60000 (  1%) ] Loss: 0.2609 top1= 91.8750
[E 3B10 |   7744/60000 ( 13%) ] Loss: 0.2390 top1= 92.8125
[E 3B20 |  14784/60000 ( 25%) ] Loss: 0.2390 top1= 92.6562

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2327 top1= 93.2492


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2365 top1= 93.0088


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2499 top1= 92.4379

Train epoch 4
[E 4B0  |    704/60000 (  1%) ] Loss: 0.1718 top1= 94.8438
[E 4B10 |   7744/60000 ( 13%) ] Loss: 0.1546 top1= 95.7812
[E 4B20 |  14784/60000 ( 25%) ] Loss: 0.1519 top1= 95.9375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2028 top1= 93.9002


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2174 top1= 93.2292


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2019 top1= 93.9103

Train epoch 5
[E 5B0  |    704/60000 (  1%) ] Loss: 0.1191 top1= 96.7188
[E 5B10 |   7744/60000 ( 13%) ] Loss: 0.1061 top1= 96.8750
[E 5B20 |  14784/60000 ( 25%) ] Loss: 0.1089 top1= 96.4062

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1830 top1= 94.4912


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2015 top1= 93.8902


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1794 top1= 94.4812

Train epoch 6
[E 6B0  |    704/60000 (  1%) ] Loss: 0.0791 top1= 98.1250
[E 6B10 |   7744/60000 ( 13%) ] Loss: 0.0697 top1= 98.4375
[E 6B20 |  14784/60000 ( 25%) ] Loss: 0.0679 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1772 top1= 94.7516


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1952 top1= 94.2508


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1817 top1= 94.6014

Train epoch 7
[E 7B0  |    704/60000 (  1%) ] Loss: 0.0568 top1= 98.7500
[E 7B10 |   7744/60000 ( 13%) ] Loss: 0.0456 top1= 99.3750
[E 7B20 |  14784/60000 ( 25%) ] Loss: 0.0589 top1= 98.2812

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1777 top1= 95.0421


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1950 top1= 94.7516


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1779 top1= 94.9619

Train epoch 8
[E 8B0  |    704/60000 (  1%) ] Loss: 0.0357 top1= 99.3750
[E 8B10 |   7744/60000 ( 13%) ] Loss: 0.0299 top1= 99.5312
[E 8B20 |  14784/60000 ( 25%) ] Loss: 0.0439 top1= 98.5938

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1779 top1= 95.0521


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2059 top1= 94.5713


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1849 top1= 94.8117

Train epoch 9
[E 9B0  |    704/60000 (  1%) ] Loss: 0.0278 top1= 99.3750
[E 9B10 |   7744/60000 ( 13%) ] Loss: 0.0194 top1= 99.8438
[E 9B20 |  14784/60000 ( 25%) ] Loss: 0.0249 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1790 top1= 95.1222


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2249 top1= 94.0104


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1977 top1= 94.6314

Train epoch 10
[E10B0  |    704/60000 (  1%) ] Loss: 0.0211 top1= 99.8438
[E10B10 |   7744/60000 ( 13%) ] Loss: 0.0148 top1=100.0000
[E10B20 |  14784/60000 ( 25%) ] Loss: 0.0403 top1= 99.2188

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1818 top1= 95.1723


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2400 top1= 93.5697


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2032 top1= 94.7716

Train epoch 11
[E11B0  |    704/60000 (  1%) ] Loss: 0.0224 top1= 99.3750
[E11B10 |   7744/60000 ( 13%) ] Loss: 0.0301 top1= 98.9062
[E11B20 |  14784/60000 ( 25%) ] Loss: 0.0188 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1753 top1= 95.3526


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2116 top1= 94.5012


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1904 top1= 95.0521

Train epoch 12
[E12B0  |    704/60000 (  1%) ] Loss: 0.0189 top1= 99.2188
[E12B10 |   7744/60000 ( 13%) ] Loss: 0.0291 top1= 99.5312
[E12B20 |  14784/60000 ( 25%) ] Loss: 0.0216 top1= 99.5312

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1790 top1= 95.3325


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1834 top1= 95.0721


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1936 top1= 94.9920

Train epoch 13
[E13B0  |    704/60000 (  1%) ] Loss: 0.0126 top1= 99.8438
[E13B10 |   7744/60000 ( 13%) ] Loss: 0.0095 top1= 99.8438
[E13B20 |  14784/60000 ( 25%) ] Loss: 0.0159 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1825 top1= 95.3626


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1830 top1= 95.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1939 top1= 95.0120

Train epoch 14
[E14B0  |    704/60000 (  1%) ] Loss: 0.0088 top1=100.0000
[E14B10 |   7744/60000 ( 13%) ] Loss: 0.0084 top1=100.0000
[E14B20 |  14784/60000 ( 25%) ] Loss: 0.0061 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1862 top1= 95.2724


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1826 top1= 95.4427


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2112 top1= 94.6514

Train epoch 15
[E15B0  |    704/60000 (  1%) ] Loss: 0.0214 top1= 99.3750
[E15B10 |   7744/60000 ( 13%) ] Loss: 0.0080 top1=100.0000
[E15B20 |  14784/60000 ( 25%) ] Loss: 0.0077 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1795 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1868 top1= 95.5429


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1963 top1= 95.0220

Train epoch 16
[E16B0  |    704/60000 (  1%) ] Loss: 0.0063 top1= 99.8438
[E16B10 |   7744/60000 ( 13%) ] Loss: 0.0065 top1=100.0000
[E16B20 |  14784/60000 ( 25%) ] Loss: 0.0040 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1761 top1= 95.6430


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1878 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1696 top1= 95.7432

Train epoch 17
[E17B0  |    704/60000 (  1%) ] Loss: 0.0027 top1=100.0000
[E17B10 |   7744/60000 ( 13%) ] Loss: 0.0036 top1=100.0000
[E17B20 |  14784/60000 ( 25%) ] Loss: 0.0027 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1778 top1= 95.6230


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1898 top1= 95.5429


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1718 top1= 95.6330

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1815 top1= 95.5729


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1913 top1= 95.5429


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1759 top1= 95.6530

Train epoch 19
[E19B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E19B10 |   7744/60000 ( 13%) ] Loss: 0.0018 top1=100.0000
[E19B20 |  14784/60000 ( 25%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1820 top1= 95.6230


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1925 top1= 95.5128


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1748 top1= 95.7432

Train epoch 20
[E20B0  |    704/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E20B10 |   7744/60000 ( 13%) ] Loss: 0.0015 top1=100.0000
[E20B20 |  14784/60000 ( 25%) ] Loss: 0.0017 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1830 top1= 95.6330


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1933 top1= 95.5028


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1768 top1= 95.6530

Train epoch 21
[E21B0  |    704/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E21B10 |   7744/60000 ( 13%) ] Loss: 0.0015 top1=100.0000
[E21B20 |  14784/60000 ( 25%) ] Loss: 0.0017 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1844 top1= 95.6530


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1940 top1= 95.5329


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1785 top1= 95.6130

Train epoch 22
[E22B0  |    704/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E22B10 |   7744/60000 ( 13%) ] Loss: 0.0014 top1=100.0000
[E22B20 |  14784/60000 ( 25%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1849 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1944 top1= 95.5128


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1789 top1= 95.5929

Train epoch 23
[E23B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E23B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E23B20 |  14784/60000 ( 25%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1853 top1= 95.6430


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1947 top1= 95.5329


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1794 top1= 95.6030

Train epoch 24
[E24B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E24B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E24B20 |  14784/60000 ( 25%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1856 top1= 95.6530


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1949 top1= 95.5429


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1797 top1= 95.6230

Train epoch 25
[E25B0  |    704/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E25B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E25B20 |  14784/60000 ( 25%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1858 top1= 95.6330


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1952 top1= 95.5729


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1800 top1= 95.6330

Train epoch 26
[E26B0  |    704/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E26B10 |   7744/60000 ( 13%) ] Loss: 0.0013 top1=100.0000
[E26B20 |  14784/60000 ( 25%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1859 top1= 95.6530


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1952 top1= 95.5829


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1802 top1= 95.6430

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1859 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1953 top1= 95.5929


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1802 top1= 95.6530

Train epoch 28
[E28B0  |    704/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E28B10 |   7744/60000 ( 13%) ] Loss: 0.0012 top1=100.0000
[E28B20 |  14784/60000 ( 25%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1859 top1= 95.6731


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1951 top1= 95.5929


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1804 top1= 95.6731

Train epoch 29
[E29B0  |    704/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E29B10 |   7744/60000 ( 13%) ] Loss: 0.0012 top1=100.0000
[E29B20 |  14784/60000 ( 25%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1858 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1950 top1= 95.6230


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1804 top1= 95.7031

Train epoch 30
[E30B0  |    704/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E30B10 |   7744/60000 ( 13%) ] Loss: 0.0012 top1=100.0000
[E30B20 |  14784/60000 ( 25%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1857 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1948 top1= 95.5929


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1803 top1= 95.7031

