cpu
save epoch: 0 , loss: tensor(9.7374)
save epoch: 1 , loss: tensor(8.6617)
save epoch: 2 , loss: tensor(7.3062)
save epoch: 3 , loss: tensor(6.4844)
save epoch: 4 , loss: tensor(5.3069)
save epoch: 6 , loss: tensor(4.4557)
save epoch: 7 , loss: tensor(3.8500)
save epoch: 8 , loss: tensor(3.3166)
save epoch: 10 , loss: tensor(2.9093)
save epoch: 12 , loss: tensor(2.2468)
save epoch: 13 , loss: tensor(1.9410)
save epoch: 15 , loss: tensor(1.6271)
save epoch: 16 , loss: tensor(1.4562)
save epoch: 18 , loss: tensor(1.2829)
save epoch: 19 , loss: tensor(1.1516)
save epoch: 21 , loss: tensor(0.9717)
save epoch: 22 , loss: tensor(0.7807)
save epoch: 25 , loss: tensor(0.6178)
save epoch: 28 , loss: tensor(0.5166)
save epoch: 30 , loss: tensor(0.4209)
save epoch: 32 , loss: tensor(0.3684)
save epoch: 34 , loss: tensor(0.3124)
save epoch: 36 , loss: tensor(0.2804)
save epoch: 40 , loss: tensor(0.2463)
save epoch: 42 , loss: tensor(0.2105)
save epoch: 45 , loss: tensor(0.1807)
save epoch: 51 , loss: tensor(0.1622)
save epoch: 55 , loss: tensor(0.1371)
save epoch: 64 , loss: tensor(0.1151)
save epoch: 77 , loss: tensor(0.0930)
save epoch: 90 , loss: tensor(0.0801)
save epoch: 109 , loss: tensor(0.0715)
save epoch: 131 , loss: tensor(0.0627)
save epoch: 157 , loss: tensor(0.0561)
save epoch: 184 , loss: tensor(0.0489)
save epoch: 214 , loss: tensor(0.0434)
save epoch: 240 , loss: tensor(0.0342)
save epoch: 342 , loss: tensor(0.0302)
save epoch: 417 , loss: tensor(0.0246)
save epoch: 493 , loss: tensor(0.0217)
save epoch: 567 , loss: tensor(0.0181)
save epoch: 670 , loss: tensor(0.0156)
save epoch: 720 , loss: tensor(0.0128)
save epoch: 856 , loss: tensor(0.0112)
save epoch: 909 , loss: tensor(0.0098)
save epoch: 1021 , loss: tensor(0.0086)
save epoch: 1083 , loss: tensor(0.0075)
save epoch: 1155 , loss: tensor(0.0065)
save epoch: 1293 , loss: tensor(0.0057)
save epoch: 1368 , loss: tensor(0.0050)
save epoch: 1466 , loss: tensor(0.0044)
save epoch: 1489 , loss: tensor(0.0039)
save epoch: 1607 , loss: tensor(0.0035)
save epoch: 1662 , loss: tensor(0.0032)
save epoch: 1768 , loss: tensor(0.0026)
save epoch: 1889 , loss: tensor(0.0023)
save epoch: 1953 , loss: tensor(0.0020)
p_net train complete
best pnet epoch:  1953 , loss: tensor(0.0020) train time: 5.427272081375122
2000
e1net epoch: 0 ,loss: tensor(7.9245) ,ic loss: tensor(6.9834) ,res: tensor(0.4706)
e1net epoch: 2 ,loss: tensor(5.8983) ,ic loss: tensor(5.0530) ,res: tensor(0.4226)
e1net epoch: 4 ,loss: tensor(5.0558) ,ic loss: tensor(4.2635) ,res: tensor(0.3961)
e1net epoch: 5 ,loss: tensor(4.2131) ,ic loss: tensor(3.4859) ,res: tensor(0.3636)
e1net epoch: 8 ,loss: tensor(3.1165) ,ic loss: tensor(2.4169) ,res: tensor(0.3498)
e1net epoch: 9 ,loss: tensor(2.7652) ,ic loss: tensor(2.1074) ,res: tensor(0.3289)
e1net epoch: 11 ,loss: tensor(2.3219) ,ic loss: tensor(1.5685) ,res: tensor(0.3767)
e1net epoch: 13 ,loss: tensor(1.9602) ,ic loss: tensor(1.1916) ,res: tensor(0.3843)
e1net epoch: 15 ,loss: tensor(1.6581) ,ic loss: tensor(0.9664) ,res: tensor(0.3459)
e1net epoch: 17 ,loss: tensor(1.4386) ,ic loss: tensor(0.7575) ,res: tensor(0.3405)
e1net epoch: 18 ,loss: tensor(1.1187) ,ic loss: tensor(0.5574) ,res: tensor(0.2806)
e1net epoch: 21 ,loss: tensor(0.8831) ,ic loss: tensor(0.3309) ,res: tensor(0.2761)
e1net epoch: 22 ,loss: tensor(0.7754) ,ic loss: tensor(0.2923) ,res: tensor(0.2416)
e1net epoch: 24 ,loss: tensor(0.6767) ,ic loss: tensor(0.2111) ,res: tensor(0.2328)
e1net epoch: 27 ,loss: tensor(0.5156) ,ic loss: tensor(0.1491) ,res: tensor(0.1833)
e1net epoch: 38 ,loss: tensor(0.4417) ,ic loss: tensor(0.1540) ,res: tensor(0.1439)
e1net epoch: 46 ,loss: tensor(0.3671) ,ic loss: tensor(0.1479) ,res: tensor(0.1096)
e1net epoch: 49 ,loss: tensor(0.3263) ,ic loss: tensor(0.1330) ,res: tensor(0.0967)
e1net epoch: 54 ,loss: tensor(0.2902) ,ic loss: tensor(0.1344) ,res: tensor(0.0779)
e1net epoch: 66 ,loss: tensor(0.2600) ,ic loss: tensor(0.1417) ,res: tensor(0.0592)
e1net epoch: 69 ,loss: tensor(0.2313) ,ic loss: tensor(0.1300) ,res: tensor(0.0507)
e1net epoch: 78 ,loss: tensor(0.2072) ,ic loss: tensor(0.1336) ,res: tensor(0.0368)
e1net epoch: 114 ,loss: tensor(0.1855) ,ic loss: tensor(0.1120) ,res: tensor(0.0368)
e1net epoch: 129 ,loss: tensor(0.1648) ,ic loss: tensor(0.1023) ,res: tensor(0.0312)
e1net epoch: 165 ,loss: tensor(0.1470) ,ic loss: tensor(0.0892) ,res: tensor(0.0289)
e1net epoch: 255 ,loss: tensor(0.1295) ,ic loss: tensor(0.0987) ,res: tensor(0.0154)
e1net epoch: 694 ,loss: tensor(0.1132) ,ic loss: tensor(0.0896) ,res: tensor(0.0118)
e1net epoch: 2043 ,loss: tensor(0.1004) ,ic loss: tensor(0.0752) ,res: tensor(0.0126)
e1net epoch: 2155 ,loss: tensor(0.0883) ,ic loss: tensor(0.0602) ,res: tensor(0.0141)
e1net epoch: 2336 ,loss: tensor(0.0785) ,ic loss: tensor(0.0526) ,res: tensor(0.0130)
e1net epoch: 2458 ,loss: tensor(0.0701) ,ic loss: tensor(0.0517) ,res: tensor(0.0092)
e1net epoch: 2505 ,loss: tensor(0.0618) ,ic loss: tensor(0.0396) ,res: tensor(0.0111)
e1net epoch: 2626 ,loss: tensor(0.0527) ,ic loss: tensor(0.0365) ,res: tensor(0.0081)
e1net epoch: 2751 ,loss: tensor(0.0467) ,ic loss: tensor(0.0272) ,res: tensor(0.0097)
e1net epoch: 2832 ,loss: tensor(0.0406) ,ic loss: tensor(0.0198) ,res: tensor(0.0104)
e1net epoch: 2904 ,loss: tensor(0.0353) ,ic loss: tensor(0.0210) ,res: tensor(0.0071)
e1net epoch: 3011 ,loss: tensor(0.0301) ,ic loss: tensor(0.0156) ,res: tensor(0.0073)
e1net epoch: 3156 ,loss: tensor(0.0257) ,ic loss: tensor(0.0120) ,res: tensor(0.0069)
e1net epoch: 3350 ,loss: tensor(0.0218) ,ic loss: tensor(0.0102) ,res: tensor(0.0058)
e1net epoch: 3497 ,loss: tensor(0.0195) ,ic loss: tensor(0.0078) ,res: tensor(0.0059)
e1net epoch: 3726 ,loss: tensor(0.0153) ,ic loss: tensor(0.0065) ,res: tensor(0.0044)
e1_net train complete
best e1net epoch:  3726 , loss: tensor(0.0153) train time: 17.22316598892212
Error Bounds: tight, special [0.067] [0.104]
Error Bounds: tight, special [0.059] [0.091]
Error Bounds: tight, special [0.066] [0.093]
[complete 1d OU]