hello
hello

📌S Retain class distribution for seed 4:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 4:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/45000]	Loss: 2.4283	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.4952	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.4354	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.4235	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.3102	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2493	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.1107	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 1.8663	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 1.7090	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 1.5138	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 1.1879	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 1.0359	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 0.7865	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 0.6767	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 0.5013	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 0.3937	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 0.3237	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 0.2031	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 0.2906	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 0.2498	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 0.1924	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 0.1534	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 0.1206	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 0.1540	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 0.1677	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 0.2215	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 0.1048	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 0.1366	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 0.2086	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 0.2251	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 0.2790	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 0.1620	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 0.3252	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 0.3279	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 0.2519	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 0.2456	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 0.1748	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 0.1696	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 0.3240	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 0.3253	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 0.3014	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 0.2609	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 0.3265	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 0.2663	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 0.1614	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 0.2560	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 0.2565	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 0.3020	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 0.2539	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 0.2768	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 0.2480	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 0.3036	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 0.2158	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 0.2524	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 0.3156	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 0.2759	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 0.3991	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 0.2822	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 0.3355	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 0.2371	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 0.2647	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 0.2754	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 0.3144	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 0.3189	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 0.2652	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 0.2221	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 0.2760	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 0.2416	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 0.1850	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 0.2574	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 0.2273	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 0.3485	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 0.2914	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 0.2157	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 0.1816	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 0.3049	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 0.2432	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 0.2459	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 0.2294	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 0.2551	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 0.1687	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 0.2184	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 0.1811	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 0.2326	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 0.1410	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 0.1800	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 0.1892	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 0.1584	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 0.3114	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 0.1848	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 0.3106	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 0.2193	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 0.2303	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 0.2702	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 0.2218	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 0.2452	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 0.3359	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 0.2126	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 0.1621	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 0.2434	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 0.2788	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 0.2087	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 0.2955	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 0.1538	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 0.1507	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 0.2238	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 0.1982	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 0.1949	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 0.2665	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 0.2630	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 0.1742	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 0.2032	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 0.2675	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 0.2692	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 0.2092	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 0.1762	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 0.2668	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 0.2519	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 0.2145	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 0.2117	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 0.2328	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 0.2274	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 0.2549	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 0.2580	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 0.2424	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 0.1675	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 0.3012	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 0.2157	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 0.2073	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 0.2488	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 0.1685	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 0.2806	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 0.1418	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 0.2739	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 0.1818	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 0.2705	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 0.2155	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 0.2371	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 0.2558	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 0.3040	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 0.2233	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 0.1942	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 0.1559	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 0.2722	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 0.2658	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 0.3037	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 0.3032	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 0.1995	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 0.2373	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 0.2791	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 0.3448	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 0.2901	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 0.3375	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 0.2289	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 0.3118	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 0.2716	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 0.2586	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 0.2860	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 0.2092	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 0.1960	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 0.3340	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 0.1896	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 0.2103	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 0.3213	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 0.2987	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 0.3848	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 0.3130	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 0.2218	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 0.3789	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 0.2417	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 0.2042	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 0.3034	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 0.2930	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 0.1833	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 0.3764	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 0.2417	LR: 0.099432
Epoch 1 - Average Train Loss: 0.3717, Train Accuracy: 0.8822
Epoch 1 training time consumed: 325.66s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0012, Accuracy: 0.9037, Time consumed:23.48s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_04h_24m_15s/ViT-Cifar10-seed4-ret100-1-best.pth
Training Epoch: 2 [256/45000]	Loss: 0.5343	LR: 0.100000
Training Epoch: 2 [512/45000]	Loss: 0.4383	LR: 0.100000
Training Epoch: 2 [768/45000]	Loss: 0.3579	LR: 0.100000
Training Epoch: 2 [1024/45000]	Loss: 0.3461	LR: 0.100000
Training Epoch: 2 [1280/45000]	Loss: 0.4455	LR: 0.100000
Training Epoch: 2 [1536/45000]	Loss: 0.3482	LR: 0.100000
Training Epoch: 2 [1792/45000]	Loss: 0.3072	LR: 0.100000
Training Epoch: 2 [2048/45000]	Loss: 0.4316	LR: 0.100000
Training Epoch: 2 [2304/45000]	Loss: 0.5267	LR: 0.100000
Training Epoch: 2 [2560/45000]	Loss: 0.5223	LR: 0.100000
Training Epoch: 2 [2816/45000]	Loss: 1.4638	LR: 0.100000
Training Epoch: 2 [3072/45000]	Loss: 1.7385	LR: 0.100000
Training Epoch: 2 [3328/45000]	Loss: 2.5525	LR: 0.100000
Training Epoch: 2 [3584/45000]	Loss: 3.1553	LR: 0.100000
Training Epoch: 2 [3840/45000]	Loss: 2.9080	LR: 0.100000
Training Epoch: 2 [4096/45000]	Loss: 5.0332	LR: 0.100000
Training Epoch: 2 [4352/45000]	Loss: 8.4045	LR: 0.100000
Training Epoch: 2 [4608/45000]	Loss: 2.7472	LR: 0.100000
Training Epoch: 2 [4864/45000]	Loss: 2.4545	LR: 0.100000
Training Epoch: 2 [5120/45000]	Loss: 2.4544	LR: 0.100000
Training Epoch: 2 [5376/45000]	Loss: 2.4616	LR: 0.100000
Training Epoch: 2 [5632/45000]	Loss: 2.3443	LR: 0.100000
Training Epoch: 2 [5888/45000]	Loss: 2.3749	LR: 0.100000
Training Epoch: 2 [6144/45000]	Loss: 2.3485	LR: 0.100000
Training Epoch: 2 [6400/45000]	Loss: 2.5545	LR: 0.100000
Training Epoch: 2 [6656/45000]	Loss: 2.5738	LR: 0.100000
Training Epoch: 2 [6912/45000]	Loss: 3.5005	LR: 0.100000
Training Epoch: 2 [7168/45000]	Loss: 3.0910	LR: 0.100000
Training Epoch: 2 [7424/45000]	Loss: 4.4229	LR: 0.100000
Training Epoch: 2 [7680/45000]	Loss: 5.6293	LR: 0.100000
Training Epoch: 2 [7936/45000]	Loss: 8.8642	LR: 0.100000
Training Epoch: 2 [8192/45000]	Loss: 9.8905	LR: 0.100000
Training Epoch: 2 [8448/45000]	Loss: 8.5535	LR: 0.100000
Training Epoch: 2 [8704/45000]	Loss: 5.2795	LR: 0.100000
Training Epoch: 2 [8960/45000]	Loss: 5.0433	LR: 0.100000
Training Epoch: 2 [9216/45000]	Loss: 7.1972	LR: 0.100000
Training Epoch: 2 [9472/45000]	Loss: 52.4239	LR: 0.100000
Training Epoch: 2 [9728/45000]	Loss: 54.0667	LR: 0.100000
Training Epoch: 2 [9984/45000]	Loss: 78.2952	LR: 0.100000
Training Epoch: 2 [10240/45000]	Loss: 84.1864	LR: 0.100000
Training Epoch: 2 [10496/45000]	Loss: 98.9837	LR: 0.100000
Training Epoch: 2 [10752/45000]	Loss: 3078.6497	LR: 0.100000
Training Epoch: 2 [11008/45000]	Loss: 651.2481	LR: 0.100000
Training Epoch: 2 [11264/45000]	Loss: 147.2097	LR: 0.100000
Training Epoch: 2 [11520/45000]	Loss: 564.0791	LR: 0.100000
Training Epoch: 2 [11776/45000]	Loss: 1329.9596	LR: 0.100000
Training Epoch: 2 [12032/45000]	Loss: 2501.9355	LR: 0.100000
Training Epoch: 2 [12288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [12544/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 2 [22528/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 2 [24320/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [24576/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 2 [28672/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 2 [29184/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [29440/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [29696/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [29952/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [30208/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [30464/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [30720/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [30976/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [31232/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [31488/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [31744/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [32000/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [32256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [32512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [32768/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 2 [33280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [33536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [33792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [34048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [34304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [34560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [34816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [35072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [35328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [35584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [35840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [36096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [36352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [36608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [36864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [37120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [37376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [37632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [37888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [38144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [38400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [38656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [38912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [39168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [39424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [39680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [39936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [40192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [40448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [40704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [40960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [41216/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [41472/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [41728/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [41984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [42240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [42496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [42752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [43008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [43264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [43520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [43776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [44032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [44288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [44544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [44800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 2 [45000/45000]	Loss: nan	LR: 0.100000
Epoch 2 - Average Train Loss: nan, Train Accuracy: 0.1519
Epoch 2 training time consumed: 325.07s
Evaluating Network.....
Test set: Epoch: 2, Average loss: nan, Accuracy: 0.1000, Time consumed:23.45s
Training Epoch: 3 [256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [768/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [1024/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [1280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [1536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [1792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [2048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [2304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [2560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [2816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [3072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [3328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [3584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [3840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [4096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [4352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [4608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [4864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [5120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [5376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [5632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [5888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [6144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [6400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [6656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [6912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [7168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [7424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [7680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [7936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [8192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [8448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [8704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [8960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [9216/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [9472/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [9728/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [9984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [10240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [10496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [10752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [11008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [11264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [11520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [11776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [12032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [12288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [12544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [12800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [13056/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [13312/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [13568/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [13824/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [14080/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [14336/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [14592/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [14848/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [15104/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [15360/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [15616/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [15872/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [16128/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [16384/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [16640/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [16896/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [17152/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [17408/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [17664/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [17920/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [18176/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [18432/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [18688/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [18944/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [19200/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [19456/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [19712/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [19968/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [20224/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [20480/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [20736/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [20992/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [21248/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [21504/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [21760/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [22016/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [22272/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [22528/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [22784/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [23040/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [23296/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 3 [29696/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [29952/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [30208/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [30464/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [30720/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [30976/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [31232/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [31488/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [31744/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [32000/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [32256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [32512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [32768/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [33024/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [33280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [33536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [33792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [34048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [34304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [34560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [34816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [35072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [35328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [35584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [35840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [36096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [36352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [36608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [36864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [37120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [37376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [37632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [37888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [38144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [38400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [38656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [38912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [39168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [39424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [39680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [39936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [40192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [40448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [40704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [40960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [41216/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [41472/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [41728/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [41984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [42240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [42496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [42752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [43008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [43264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [43520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [43776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [44032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [44288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [44544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [44800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 3 [45000/45000]	Loss: nan	LR: 0.100000
Epoch 3 - Average Train Loss: nan, Train Accuracy: 0.1000
Epoch 3 training time consumed: 324.54s
Evaluating Network.....
Test set: Epoch: 3, Average loss: nan, Accuracy: 0.1000, Time consumed:23.48s
Training Epoch: 4 [256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [768/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [1024/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [1280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [1536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [1792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [2048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [2304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [2560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [2816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [3072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [3328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [3584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [3840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [4096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [4352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [4608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [4864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [5120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [5376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [5632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [5888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [6144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [6400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [6656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [6912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [7168/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [8192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [8448/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [10240/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [11008/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [14592/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [20480/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [21760/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [22016/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [22272/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [22528/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [22784/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [23040/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [23808/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [24064/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [24320/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [24576/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [24832/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [25088/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [25344/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [26368/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [26624/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [27136/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [27392/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [35072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [35328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [35584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [35840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [36096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [36352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [36608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [36864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [37120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [37376/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [37888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [38144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [38400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [38656/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 4 [39168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [39424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [39680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [39936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [40192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [40448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [40704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [40960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [41216/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [41472/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [41728/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [41984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [42240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [42496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [42752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [43008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [43264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [43520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [43776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [44032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [44288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [44544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [44800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 4 [45000/45000]	Loss: nan	LR: 0.100000
Epoch 4 - Average Train Loss: nan, Train Accuracy: 0.1000
Epoch 4 training time consumed: 324.88s
Evaluating Network.....
Test set: Epoch: 4, Average loss: nan, Accuracy: 0.1000, Time consumed:23.49s
Training Epoch: 5 [256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [768/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [1024/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [1280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [1536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [1792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [2048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [2304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [2560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [2816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [3072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [3328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [3584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [3840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [4096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [4352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [4608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [4864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [5120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [5376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [5632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [5888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [6144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [6400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [6656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [6912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [7168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [7424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [7680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [7936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [8192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [8448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [8704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [8960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [9216/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 5 [9984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [10240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [10496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [10752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [11008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [11264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [11520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [11776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [12032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [12288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [12544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [12800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [13056/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [13312/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [13568/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [13824/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [14080/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [14336/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [14592/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [14848/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [15104/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [15360/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [15616/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [15872/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [16128/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [16384/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [16640/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [16896/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [17152/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 5 [17920/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [18176/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [18432/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [18688/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [18944/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [19200/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 5 [22016/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 5 [23040/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 5 [23808/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [24064/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [24320/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [24576/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [24832/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [25088/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [25344/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [25600/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [25856/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [26112/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [26368/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [26624/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [26880/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [27136/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [27392/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [27648/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [27904/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [28160/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 5 [29696/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [29952/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [30208/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [30464/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [30720/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [30976/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [31232/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [31488/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [31744/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [32000/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [32256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [32512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [32768/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [33024/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [33280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [33536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [33792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [34048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [34304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [34560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [34816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [35072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [35328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [35584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [35840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [36096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [36352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [36608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [36864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [37120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [37376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [37632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [37888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [38144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [38400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [38656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [38912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [39168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [39424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [39680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [39936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [40192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [40448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [40704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [40960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [41216/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [41472/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [41728/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [41984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [42240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [42496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [42752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [43008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [43264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [43520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [43776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [44032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [44288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [44544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [44800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 5 [45000/45000]	Loss: nan	LR: 0.100000
Epoch 5 - Average Train Loss: nan, Train Accuracy: 0.1000
Epoch 5 training time consumed: 324.79s
Evaluating Network.....
Test set: Epoch: 5, Average loss: nan, Accuracy: 0.1000, Time consumed:23.49s
Training Epoch: 6 [256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [768/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [1024/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [1280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [1536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [1792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [2048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [2304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [2560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [2816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [3072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [3328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [3584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [3840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [4096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [4352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [4608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [4864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [5120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [5376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [5632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [5888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [6144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [6400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [6656/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 6 [11008/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 6 [19200/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [19456/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [19712/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [19968/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [20224/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [20480/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [20736/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [20992/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [21248/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [21504/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [21760/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [22016/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [22272/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [22528/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [22784/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [23040/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [23296/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [23552/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [23808/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [24064/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [24320/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [24576/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [24832/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [25088/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [25344/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [25600/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [25856/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [26112/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [26368/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [26624/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [26880/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [27136/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [27392/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [27648/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [27904/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [28160/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [28416/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [28672/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [28928/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 6 [29696/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [29952/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [30208/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [30464/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [30720/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [30976/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [31232/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [31488/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [31744/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [32000/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [32256/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [32512/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [32768/45000]	Loss: nan	LR: 0.100000
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Training Epoch: 6 [33280/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [33536/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [33792/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [34048/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [34304/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [34560/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [34816/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [35072/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [35328/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [35584/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [35840/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [36096/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [36352/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [36608/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [36864/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [37120/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [37376/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [37632/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [37888/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [38144/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [38400/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [38656/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [38912/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [39168/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [39424/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [39680/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [39936/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [40192/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [40448/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [40704/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [40960/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [41216/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [41472/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [41728/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [41984/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [42240/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [42496/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [42752/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [43008/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [43264/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [43520/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [43776/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [44032/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [44288/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [44544/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [44800/45000]	Loss: nan	LR: 0.100000
Training Epoch: 6 [45000/45000]	Loss: nan	LR: 0.100000
Epoch 6 - Average Train Loss: nan, Train Accuracy: 0.1000
Epoch 6 training time consumed: 325.19s
Evaluating Network.....
Test set: Epoch: 6, Average loss: nan, Accuracy: 0.1000, Time consumed:23.49s
Training Epoch: 7 [256/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [512/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [768/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [1024/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [1280/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [1536/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [1792/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [2048/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [2304/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [2560/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [2816/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [3072/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [3328/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [3584/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [3840/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [4096/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [4352/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [4608/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [4864/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [5120/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [5376/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [5632/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [5888/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [6144/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [6400/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [6656/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [6912/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [7168/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [7424/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [7680/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [7936/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [8192/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [8448/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [8704/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [8960/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [9216/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [9472/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [9728/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [9984/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [10240/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [10496/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [10752/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [11008/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [11264/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [11520/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [11776/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [12032/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [12288/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [12544/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [12800/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [13056/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [13312/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [13568/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [13824/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [14080/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [14336/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [14592/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [14848/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [15104/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [15360/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [15616/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [15872/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [16128/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [16384/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [16640/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [16896/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [17152/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [17408/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [17664/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [17920/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [18176/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [18432/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [18688/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [18944/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [19200/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [19456/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [19712/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [19968/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [20224/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [20480/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [20736/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [20992/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [21248/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [21504/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [21760/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [22016/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [22272/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [22528/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [22784/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [23040/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [23296/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [23552/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [23808/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [24064/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [24320/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [24576/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [24832/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [25088/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [25344/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [25600/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [25856/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [26112/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [26368/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [26624/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [26880/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [27136/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [27392/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [27648/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [27904/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [28160/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [28416/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [28672/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [28928/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [29184/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [29440/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [29696/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [29952/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [30208/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [30464/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [30720/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [30976/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [31232/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [31488/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [31744/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [32000/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [32256/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [32512/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [32768/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [33024/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [33280/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [33536/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [33792/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [34048/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [34304/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [34560/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [34816/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [35072/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [35328/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [35584/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [35840/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [36096/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [36352/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [36608/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [36864/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [37120/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [37376/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [37632/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [37888/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [38144/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [38400/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [38656/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [38912/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [39168/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [39424/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [39680/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [39936/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [40192/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [40448/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [40704/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [40960/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [41216/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [41472/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [41728/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [41984/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [42240/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [42496/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [42752/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [43008/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [43264/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [43520/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [43776/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [44032/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [44288/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [44544/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [44800/45000]	Loss: nan	LR: 0.020000
Training Epoch: 7 [45000/45000]	Loss: nan	LR: 0.020000
Epoch 7 - Average Train Loss: nan, Train Accuracy: 0.1000
Epoch 7 training time consumed: 325.32s
Evaluating Network.....
Test set: Epoch: 7, Average loss: nan, Accuracy: 0.1000, Time consumed:23.48s
Training Epoch: 8 [256/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [512/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [768/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [1024/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [1280/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [1536/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [1792/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [2048/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [2304/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [2560/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [2816/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [3072/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [3328/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [3584/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [3840/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [4096/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [4352/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [4608/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [4864/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [5120/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [5376/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [5632/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [5888/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [6144/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [6400/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [6656/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [6912/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [7168/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [7424/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [7680/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [7936/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [8192/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [8448/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [8704/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [8960/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [9216/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [9472/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [9728/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [9984/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [10240/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [10496/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [10752/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [11008/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [11264/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [11520/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [11776/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [12032/45000]	Loss: nan	LR: 0.020000
Training Epoch: 8 [12288/45000]	Loss: nan	LR: 0.020000
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Training Epoch: 8 [45000/45000]	Loss: nan	LR: 0.020000
Epoch 8 - Average Train Loss: nan, Train Accuracy: 0.1000
Epoch 8 training time consumed: 324.94s
Evaluating Network.....
Test set: Epoch: 8, Average loss: nan, Accuracy: 0.1000, Time consumed:23.47s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 10.05859375
Retain Accuracy: 9.996271133422852
Zero-Retain Forget (ZRF): nan
Membership Inference Attack (MIA): 0.0
Forget vs Retain Membership Inference Attack (MIA): 0.494
Forget vs Test Membership Inference Attack (MIA): 0.494
Test vs Retain Membership Inference Attack (MIA): 0.49525
Train vs Test Membership Inference Attack (MIA): 0.49525
Forget Set Accuracy (Df): 9.765625
Method Execution Time: 5200.80 seconds
