cpu
save epoch: 0 ,loss: tensor(749.7709) ,ic: tensor(41.5168) ,res: tensor(102.0401) ,res_freq: tensor(39.6107)
RAR max IC:  tensor(19.4153)
RAR max RES: tensor(59.6622)
save epoch: 1 ,loss: tensor(431.0227) ,ic: tensor(15.1450) ,res: tensor(58.5434) ,res_freq: tensor(24.6322)
save epoch: 2 ,loss: tensor(199.8201) ,ic: tensor(3.7977) ,res: tensor(26.2404) ,res_freq: tensor(12.9641)
save epoch: 3 ,loss: tensor(72.0464) ,ic: tensor(0.6926) ,res: tensor(9.0868) ,res_freq: tensor(5.1839)
save epoch: 4 ,loss: tensor(15.7706) ,ic: tensor(0.1214) ,res: tensor(1.9355) ,res_freq: tensor(1.1944)
save epoch: 5 ,loss: tensor(2.3369) ,ic: tensor(0.0315) ,res: tensor(0.2769) ,res_freq: tensor(0.1842)
save epoch: 6 ,loss: tensor(0.3920) ,ic: tensor(0.0131) ,res: tensor(0.0429) ,res_freq: tensor(0.0328)
save epoch: 7 ,loss: tensor(0.0976) ,ic: tensor(0.0078) ,res: tensor(0.0094) ,res_freq: tensor(0.0085)
save epoch: 8 ,loss: tensor(0.0359) ,ic: tensor(0.0059) ,res: tensor(0.0029) ,res_freq: tensor(0.0031)
save epoch: 9 ,loss: tensor(0.0181) ,ic: tensor(0.0050) ,res: tensor(0.0012) ,res_freq: tensor(0.0014)
save epoch: 10 ,loss: tensor(0.0115) ,ic: tensor(0.0047) ,res: tensor(0.0006) ,res_freq: tensor(0.0008)
save epoch: 11 ,loss: tensor(0.0085) ,ic: tensor(0.0045) ,res: tensor(0.0003) ,res_freq: tensor(0.0005)
save epoch: 12 ,loss: tensor(0.0071) ,ic: tensor(0.0044) ,res: tensor(0.0002) ,res_freq: tensor(0.0003)
save epoch: 13 ,loss: tensor(0.0063) ,ic: tensor(0.0044) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
save epoch: 14 ,loss: tensor(0.0058) ,ic: tensor(0.0044) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
save epoch: 15 ,loss: tensor(0.0055) ,ic: tensor(0.0044) ,res: tensor(7.8607e-05) ,res_freq: tensor(0.0001)
save epoch: 17 ,loss: tensor(0.0051) ,ic: tensor(0.0044) ,res: tensor(4.9719e-05) ,res_freq: tensor(9.4276e-05)
save epoch: 22 ,loss: tensor(0.0049) ,ic: tensor(0.0045) ,res: tensor(2.3242e-05) ,res_freq: tensor(4.9581e-05)
RAR max IC:  tensor(0.9757)
RAR max RES: tensor(0.0291)
save epoch: 673 ,loss: tensor(0.0046) ,ic: tensor(0.0017) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 689 ,loss: tensor(0.0044) ,ic: tensor(0.0015) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
RAR max IC:  tensor(0.3666)
RAR max RES: tensor(0.4343)
save epoch: 950 ,loss: tensor(0.0041) ,ic: tensor(0.0009) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 958 ,loss: tensor(0.0039) ,ic: tensor(0.0008) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 966 ,loss: tensor(0.0037) ,ic: tensor(0.0008) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 974 ,loss: tensor(0.0035) ,ic: tensor(0.0007) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 982 ,loss: tensor(0.0034) ,ic: tensor(0.0006) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 991 ,loss: tensor(0.0032) ,ic: tensor(0.0006) ,res: tensor(0.0002) ,res_freq: tensor(0.0004)
save epoch: 1000 ,loss: tensor(0.0030) ,ic: tensor(0.0005) ,res: tensor(0.0001) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.2314)
RAR max RES: tensor(0.8286)
save epoch: 2691 ,loss: tensor(0.0029) ,ic: tensor(0.0006) ,res: tensor(0.0001) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.2305)
RAR max RES: tensor(0.2416)
save epoch: 3695 ,loss: tensor(0.0027) ,ic: tensor(0.0004) ,res: tensor(0.0002) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.2087)
RAR max RES: tensor(0.1707)
save epoch: 4094 ,loss: tensor(0.0026) ,ic: tensor(0.0003) ,res: tensor(0.0002) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.1279)
RAR max RES: tensor(0.1436)
save epoch: 4638 ,loss: tensor(0.0024) ,ic: tensor(0.0003) ,res: tensor(0.0001) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.1024)
RAR max RES: tensor(0.1286)
save epoch: 5314 ,loss: tensor(0.0023) ,ic: tensor(0.0002) ,res: tensor(0.0001) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.0943)
RAR max RES: tensor(0.0941)
save epoch: 5860 ,loss: tensor(0.0022) ,ic: tensor(0.0003) ,res: tensor(0.0001) ,res_freq: tensor(0.0003)
RAR max IC:  tensor(0.0878)
RAR max RES: tensor(0.0812)
save epoch: 6406 ,loss: tensor(0.0021) ,ic: tensor(0.0003) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0867)
RAR max RES: tensor(0.0847)
save epoch: 6855 ,loss: tensor(0.0020) ,ic: tensor(0.0002) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0650)
RAR max RES: tensor(0.0725)
save epoch: 7046 ,loss: tensor(0.0019) ,ic: tensor(0.0002) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0727)
RAR max RES: tensor(0.0680)
save epoch: 7192 ,loss: tensor(0.0018) ,ic: tensor(0.0002) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0679)
RAR max RES: tensor(0.0694)
save epoch: 7405 ,loss: tensor(0.0017) ,ic: tensor(0.0002) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0651)
RAR max RES: tensor(0.0643)
save epoch: 7639 ,loss: tensor(0.0016) ,ic: tensor(0.0002) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0516)
RAR max RES: tensor(0.0562)
save epoch: 7869 ,loss: tensor(0.0015) ,ic: tensor(0.0001) ,res: tensor(0.0001) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0536)
RAR max RES: tensor(0.0544)
save epoch: 8070 ,loss: tensor(0.0015) ,ic: tensor(0.0001) ,res: tensor(9.7788e-05) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0497)
RAR max RES: tensor(0.0513)
save epoch: 8263 ,loss: tensor(0.0014) ,ic: tensor(8.4744e-05) ,res: tensor(9.1961e-05) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0364)
RAR max RES: tensor(0.0459)
save epoch: 8429 ,loss: tensor(0.0013) ,ic: tensor(9.9262e-05) ,res: tensor(8.3934e-05) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0321)
RAR max RES: tensor(0.0533)
save epoch: 8753 ,loss: tensor(0.0012) ,ic: tensor(6.0152e-05) ,res: tensor(7.0510e-05) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0460)
RAR max RES: tensor(0.0409)
save epoch: 8885 ,loss: tensor(0.0012) ,ic: tensor(9.1123e-05) ,res: tensor(6.6768e-05) ,res_freq: tensor(0.0002)
RAR max IC:  tensor(0.0346)
RAR max RES: tensor(0.0459)
save epoch: 9036 ,loss: tensor(0.0011) ,ic: tensor(4.6455e-05) ,res: tensor(6.8698e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0241)
RAR max RES: tensor(0.0419)
save epoch: 9233 ,loss: tensor(0.0011) ,ic: tensor(3.9154e-05) ,res: tensor(6.7775e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0464)
RAR max RES: tensor(0.0398)
save epoch: 9464 ,loss: tensor(0.0010) ,ic: tensor(3.2757e-05) ,res: tensor(6.5285e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0213)
RAR max RES: tensor(0.0392)
save epoch: 9741 ,loss: tensor(0.0010) ,ic: tensor(3.1059e-05) ,res: tensor(6.2525e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0192)
RAR max RES: tensor(0.0383)
save epoch: 10069 ,loss: tensor(0.0009) ,ic: tensor(2.4646e-05) ,res: tensor(5.9136e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0678)
RAR max RES: tensor(0.0326)
save epoch: 10432 ,loss: tensor(0.0009) ,ic: tensor(2.5214e-05) ,res: tensor(5.5732e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0178)
RAR max RES: tensor(0.0368)
save epoch: 10819 ,loss: tensor(0.0008) ,ic: tensor(2.6315e-05) ,res: tensor(5.3241e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0440)
RAR max RES: tensor(0.0386)
save epoch: 11233 ,loss: tensor(0.0008) ,ic: tensor(2.3178e-05) ,res: tensor(4.9983e-05) ,res_freq: tensor(0.0001)
RAR max IC:  tensor(0.0153)
RAR max RES: tensor(0.0363)
save epoch: 11785 ,loss: tensor(0.0007) ,ic: tensor(1.2174e-05) ,res: tensor(4.8309e-05) ,res_freq: tensor(9.6101e-05)
RAR max IC:  tensor(0.0230)
RAR max RES: tensor(0.0324)
save epoch: 12312 ,loss: tensor(0.0007) ,ic: tensor(1.9598e-05) ,res: tensor(4.4805e-05) ,res_freq: tensor(9.0459e-05)
RAR max IC:  tensor(0.0517)
RAR max RES: tensor(0.0302)
save epoch: 12859 ,loss: tensor(0.0007) ,ic: tensor(1.4177e-05) ,res: tensor(4.1574e-05) ,res_freq: tensor(8.7584e-05)
RAR max IC:  tensor(0.0179)
RAR max RES: tensor(0.0306)
save epoch: 13550 ,loss: tensor(0.0006) ,ic: tensor(1.5751e-05) ,res: tensor(3.7911e-05) ,res_freq: tensor(8.4182e-05)
RAR max IC:  tensor(0.0157)
RAR max RES: tensor(0.0275)
save epoch: 14210 ,loss: tensor(0.0006) ,ic: tensor(1.4832e-05) ,res: tensor(3.4689e-05) ,res_freq: tensor(8.1045e-05)
RAR max IC:  tensor(0.0438)
RAR max RES: tensor(0.0266)
save epoch: 14692 ,loss: tensor(0.0006) ,ic: tensor(1.1913e-05) ,res: tensor(3.2370e-05) ,res_freq: tensor(7.8008e-05)
RAR max IC:  tensor(0.0155)
RAR max RES: tensor(0.0342)
p_net train complete
pnet best epoch:  14692 , loss: tensor(0.0006) , train time: 1580.1121311187744
e1net best epoch: 0 , loss: tensor(12.1135) ,ic: tensor(1.5870) ,res: tensor(1.2848) ,res freq: tensor(0.8205)
RAR max IC:  tensor(4.6857)
RAR max RES:  tensor(9.0205)
e1net best epoch: 1 , loss: tensor(7.2352) ,ic: tensor(0.6810) ,res: tensor(0.6728) ,res freq: tensor(0.6380)
e1net best epoch: 2 , loss: tensor(5.0977) ,ic: tensor(0.2859) ,res: tensor(0.4116) ,res freq: tensor(0.5508)
e1net best epoch: 3 , loss: tensor(4.6465) ,ic: tensor(0.2419) ,res: tensor(0.3666) ,res freq: tensor(0.5143)
e1net best epoch: 4 , loss: tensor(4.2773) ,ic: tensor(0.2420) ,res: tensor(0.3368) ,res freq: tensor(0.4703)
e1net best epoch: 5 , loss: tensor(3.7978) ,ic: tensor(0.1996) ,res: tensor(0.2890) ,res freq: tensor(0.4306)
e1net best epoch: 6 , loss: tensor(3.3059) ,ic: tensor(0.1333) ,res: tensor(0.2331) ,res freq: tensor(0.4014)
e1net best epoch: 7 , loss: tensor(2.8985) ,ic: tensor(0.0796) ,res: tensor(0.1818) ,res freq: tensor(0.3820)
e1net best epoch: 8 , loss: tensor(2.6320) ,ic: tensor(0.0606) ,res: tensor(0.1449) ,res freq: tensor(0.3694)
e1net best epoch: 10 , loss: tensor(2.4981) ,ic: tensor(0.1044) ,res: tensor(0.1229) ,res freq: tensor(0.3558)
e1net best epoch: 14 , loss: tensor(2.3061) ,ic: tensor(0.0672) ,res: tensor(0.1055) ,res freq: tensor(0.3423)
e1net best epoch: 16 , loss: tensor(2.1687) ,ic: tensor(0.0354) ,res: tensor(0.0882) ,res freq: tensor(0.3385)
e1net best epoch: 21 , loss: tensor(2.0552) ,ic: tensor(0.0478) ,res: tensor(0.0706) ,res freq: tensor(0.3309)
e1net best epoch: 31 , loss: tensor(1.9437) ,ic: tensor(0.0202) ,res: tensor(0.0618) ,res freq: tensor(0.3229)
e1net best epoch: 75 , loss: tensor(1.8465) ,ic: tensor(0.0163) ,res: tensor(0.0520) ,res freq: tensor(0.3140)
RAR max IC:  tensor(1.0116)
RAR max RES:  tensor(2.0467)
e1net best epoch: 201 , loss: tensor(1.7513) ,ic: tensor(0.0472) ,res: tensor(0.0534) ,res freq: tensor(0.2874)
e1net best epoch: 212 , loss: tensor(1.6621) ,ic: tensor(0.0534) ,res: tensor(0.0496) ,res freq: tensor(0.2721)
e1net best epoch: 224 , loss: tensor(1.5748) ,ic: tensor(0.0597) ,res: tensor(0.0462) ,res freq: tensor(0.2568)
e1net best epoch: 238 , loss: tensor(1.4947) ,ic: tensor(0.0649) ,res: tensor(0.0439) ,res freq: tensor(0.2421)
e1net best epoch: 254 , loss: tensor(1.4188) ,ic: tensor(0.0702) ,res: tensor(0.0427) ,res freq: tensor(0.2271)
e1net best epoch: 271 , loss: tensor(1.3446) ,ic: tensor(0.0702) ,res: tensor(0.0422) ,res freq: tensor(0.2127)
e1net best epoch: 290 , loss: tensor(1.2737) ,ic: tensor(0.0697) ,res: tensor(0.0409) ,res freq: tensor(0.1999)
RAR max IC:  tensor(1.7530)
RAR max RES:  tensor(2.7246)
e1net best epoch: 363 , loss: tensor(1.2083) ,ic: tensor(0.0708) ,res: tensor(0.0494) ,res freq: tensor(0.1781)
e1net best epoch: 385 , loss: tensor(1.1464) ,ic: tensor(0.0671) ,res: tensor(0.0473) ,res freq: tensor(0.1686)
RAR max IC:  tensor(1.3810)
RAR max RES:  tensor(2.0612)
e1net best epoch: 439 , loss: tensor(1.0867) ,ic: tensor(0.0665) ,res: tensor(0.0473) ,res freq: tensor(0.1567)
e1net best epoch: 453 , loss: tensor(1.0321) ,ic: tensor(0.0628) ,res: tensor(0.0462) ,res freq: tensor(0.1477)
e1net best epoch: 467 , loss: tensor(0.9796) ,ic: tensor(0.0565) ,res: tensor(0.0441) ,res freq: tensor(0.1405)
e1net best epoch: 481 , loss: tensor(0.9268) ,ic: tensor(0.0539) ,res: tensor(0.0420) ,res freq: tensor(0.1326)
e1net best epoch: 493 , loss: tensor(0.8791) ,ic: tensor(0.0501) ,res: tensor(0.0400) ,res freq: tensor(0.1258)
RAR max IC:  tensor(1.8225)
RAR max RES:  tensor(2.4341)
e1net best epoch: 543 , loss: tensor(0.8280) ,ic: tensor(0.0596) ,res: tensor(0.0418) ,res freq: tensor(0.1119)
e1net best epoch: 558 , loss: tensor(0.7843) ,ic: tensor(0.0504) ,res: tensor(0.0402) ,res freq: tensor(0.1066)
e1net best epoch: 573 , loss: tensor(0.7450) ,ic: tensor(0.0488) ,res: tensor(0.0380) ,res freq: tensor(0.1013)
e1net best epoch: 591 , loss: tensor(0.7028) ,ic: tensor(0.0440) ,res: tensor(0.0363) ,res freq: tensor(0.0954)
RAR max IC:  tensor(1.4057)
RAR max RES:  tensor(1.9549)
e1net best epoch: 667 , loss: tensor(0.6612) ,ic: tensor(0.0383) ,res: tensor(0.0380) ,res freq: tensor(0.0866)
e1net best epoch: 688 , loss: tensor(0.6279) ,ic: tensor(0.0406) ,res: tensor(0.0358) ,res freq: tensor(0.0816)
RAR max IC:  tensor(0.8924)
RAR max RES:  tensor(2.2940)
e1net best epoch: 767 , loss: tensor(0.5912) ,ic: tensor(0.0403) ,res: tensor(0.0368) ,res freq: tensor(0.0734)
e1net best epoch: 800 , loss: tensor(0.5595) ,ic: tensor(0.0360) ,res: tensor(0.0339) ,res freq: tensor(0.0708)
RAR max IC:  tensor(0.9235)
RAR max RES:  tensor(2.1260)
e1net best epoch: 885 , loss: tensor(0.5310) ,ic: tensor(0.0376) ,res: tensor(0.0335) ,res freq: tensor(0.0652)
RAR max IC:  tensor(0.8158)
RAR max RES:  tensor(2.1260)
e1net best epoch: 1004 , loss: tensor(0.5024) ,ic: tensor(0.0324) ,res: tensor(0.0332) ,res freq: tensor(0.0608)
e1net best epoch: 1042 , loss: tensor(0.4736) ,ic: tensor(0.0291) ,res: tensor(0.0308) ,res freq: tensor(0.0581)
e1net best epoch: 1070 , loss: tensor(0.4487) ,ic: tensor(0.0277) ,res: tensor(0.0289) ,res freq: tensor(0.0553)
RAR max IC:  tensor(0.9010)
RAR max RES:  tensor(2.1480)
e1net best epoch: 1215 , loss: tensor(0.4261) ,ic: tensor(0.0292) ,res: tensor(0.0268) ,res freq: tensor(0.0526)
e1net best epoch: 1252 , loss: tensor(0.4022) ,ic: tensor(0.0286) ,res: tensor(0.0247) ,res freq: tensor(0.0500)
e1net best epoch: 1283 , loss: tensor(0.3786) ,ic: tensor(0.0246) ,res: tensor(0.0234) ,res freq: tensor(0.0474)
RAR max IC:  tensor(0.7027)
RAR max RES:  tensor(2.2129)
e1net best epoch: 1463 , loss: tensor(0.3584) ,ic: tensor(0.0257) ,res: tensor(0.0211) ,res freq: tensor(0.0454)
e1net best epoch: 1500 , loss: tensor(0.3396) ,ic: tensor(0.0245) ,res: tensor(0.0197) ,res freq: tensor(0.0433)
RAR max IC:  tensor(0.7029)
RAR max RES:  tensor(1.6907)
e1net best epoch: 1620 , loss: tensor(0.3225) ,ic: tensor(0.0257) ,res: tensor(0.0175) ,res freq: tensor(0.0418)
e1net best epoch: 1651 , loss: tensor(0.3054) ,ic: tensor(0.0235) ,res: tensor(0.0168) ,res freq: tensor(0.0396)
e1net best epoch: 1689 , loss: tensor(0.2890) ,ic: tensor(0.0216) ,res: tensor(0.0158) ,res freq: tensor(0.0377)
RAR max IC:  tensor(0.7597)
RAR max RES:  tensor(1.6603)
e1net best epoch: 1798 , loss: tensor(0.2711) ,ic: tensor(0.0205) ,res: tensor(0.0160) ,res freq: tensor(0.0341)
RAR max IC:  tensor(0.8510)
RAR max RES:  tensor(2.1883)
e1net best epoch: 1967 , loss: tensor(0.2554) ,ic: tensor(0.0208) ,res: tensor(0.0153) ,res freq: tensor(0.0317)
RAR max IC:  tensor(0.6257)
RAR max RES:  tensor(1.7321)
e1net best epoch: 2092 , loss: tensor(0.2423) ,ic: tensor(0.0209) ,res: tensor(0.0149) ,res freq: tensor(0.0294)
RAR max IC:  tensor(0.6249)
RAR max RES:  tensor(2.0992)
e1net best epoch: 2229 , loss: tensor(0.2289) ,ic: tensor(0.0173) ,res: tensor(0.0148) ,res freq: tensor(0.0275)
e1net best epoch: 2271 , loss: tensor(0.2169) ,ic: tensor(0.0172) ,res: tensor(0.0138) ,res freq: tensor(0.0262)
RAR max IC:  tensor(0.5709)
RAR max RES:  tensor(1.5343)
e1net best epoch: 2489 , loss: tensor(0.2057) ,ic: tensor(0.0167) ,res: tensor(0.0136) ,res freq: tensor(0.0242)
RAR max IC:  tensor(0.5579)
RAR max RES:  tensor(1.3957)
e1net best epoch: 2616 , loss: tensor(0.1920) ,ic: tensor(0.0175) ,res: tensor(0.0120) ,res freq: tensor(0.0229)
e1net best epoch: 2680 , loss: tensor(0.1817) ,ic: tensor(0.0162) ,res: tensor(0.0112) ,res freq: tensor(0.0219)
RAR max IC:  tensor(0.5352)
RAR max RES:  tensor(1.6288)
e1net best epoch: 2991 , loss: tensor(0.1719) ,ic: tensor(0.0133) ,res: tensor(0.0105) ,res freq: tensor(0.0212)
RAR max IC:  tensor(0.6384)
RAR max RES:  tensor(1.7048)
e1net best epoch: 3302 , loss: tensor(0.1632) ,ic: tensor(0.0121) ,res: tensor(0.0100) ,res freq: tensor(0.0202)
e1net best epoch: 3364 , loss: tensor(0.1539) ,ic: tensor(0.0116) ,res: tensor(0.0094) ,res freq: tensor(0.0190)
RAR max IC:  tensor(0.8317)
RAR max RES:  tensor(1.3663)
e1net best epoch: 3726 , loss: tensor(0.1457) ,ic: tensor(0.0140) ,res: tensor(0.0088) ,res freq: tensor(0.0176)
e1net best epoch: 3787 , loss: tensor(0.1383) ,ic: tensor(0.0136) ,res: tensor(0.0083) ,res freq: tensor(0.0167)
RAR max IC:  tensor(0.5687)
RAR max RES:  tensor(1.6771)
e1net best epoch: 4124 , loss: tensor(0.1313) ,ic: tensor(0.0132) ,res: tensor(0.0085) ,res freq: tensor(0.0151)
RAR max IC:  tensor(0.5640)
RAR max RES:  tensor(2.0029)
e1net best epoch: 4467 , loss: tensor(0.1247) ,ic: tensor(0.0129) ,res: tensor(0.0084) ,res freq: tensor(0.0140)
RAR max IC:  tensor(0.5366)
RAR max RES:  tensor(1.1708)
e1net best epoch: 4830 , loss: tensor(0.1183) ,ic: tensor(0.0130) ,res: tensor(0.0084) ,res freq: tensor(0.0127)
RAR max IC:  tensor(0.4915)
RAR max RES:  tensor(1.1984)
e1net best epoch: 5260 , loss: tensor(0.1120) ,ic: tensor(0.0124) ,res: tensor(0.0076) ,res freq: tensor(0.0123)
RAR max IC:  tensor(0.3949)
RAR max RES:  tensor(1.0983)
e1net best epoch: 5707 , loss: tensor(0.1061) ,ic: tensor(0.0118) ,res: tensor(0.0065) ,res freq: tensor(0.0123)
RAR max IC:  tensor(0.4067)
RAR max RES:  tensor(1.2189)
e1net best epoch: 6079 , loss: tensor(0.1008) ,ic: tensor(0.0116) ,res: tensor(0.0063) ,res freq: tensor(0.0116)
RAR max IC:  tensor(0.4094)
RAR max RES:  tensor(1.0872)
e1net best epoch: 6523 , loss: tensor(0.0953) ,ic: tensor(0.0107) ,res: tensor(0.0063) ,res freq: tensor(0.0106)
e1net best epoch: 6576 , loss: tensor(0.0904) ,ic: tensor(0.0107) ,res: tensor(0.0061) ,res freq: tensor(0.0099)
RAR max IC:  tensor(0.4020)
RAR max RES:  tensor(1.1981)
e1net best epoch: 7076 , loss: tensor(0.0857) ,ic: tensor(0.0105) ,res: tensor(0.0057) ,res freq: tensor(0.0094)
RAR max IC:  tensor(0.3951)
RAR max RES:  tensor(1.3603)
e1net best epoch: 7577 , loss: tensor(0.0812) ,ic: tensor(0.0090) ,res: tensor(0.0054) ,res freq: tensor(0.0090)
RAR max IC:  tensor(0.3588)
RAR max RES:  tensor(0.9625)
e1net best epoch: 7992 , loss: tensor(0.0763) ,ic: tensor(0.0080) ,res: tensor(0.0053) ,res freq: tensor(0.0084)
RAR max IC:  tensor(0.3101)
RAR max RES:  tensor(1.1611)
e1net best epoch: 8425 , loss: tensor(0.0723) ,ic: tensor(0.0081) ,res: tensor(0.0051) ,res freq: tensor(0.0077)
RAR max IC:  tensor(0.3348)
RAR max RES:  tensor(1.0647)
e1net best epoch: 8934 , loss: tensor(0.0686) ,ic: tensor(0.0082) ,res: tensor(0.0048) ,res freq: tensor(0.0073)
RAR max IC:  tensor(0.3536)
RAR max RES:  tensor(0.9521)
e1net best epoch: 9329 , loss: tensor(0.0651) ,ic: tensor(0.0076) ,res: tensor(0.0044) ,res freq: tensor(0.0071)
RAR max IC:  tensor(0.3364)
RAR max RES:  tensor(0.9175)
e1net best epoch: 9951 , loss: tensor(0.0611) ,ic: tensor(0.0066) ,res: tensor(0.0037) ,res freq: tensor(0.0072)
RAR max IC:  tensor(0.2863)
RAR max RES:  tensor(0.9938)
e1net best epoch: 10446 , loss: tensor(0.0580) ,ic: tensor(0.0072) ,res: tensor(0.0037) ,res freq: tensor(0.0064)
RAR max IC:  tensor(0.2985)
RAR max RES:  tensor(0.8876)
e1net best epoch: 11127 , loss: tensor(0.0548) ,ic: tensor(0.0065) ,res: tensor(0.0037) ,res freq: tensor(0.0060)
RAR max IC:  tensor(0.2628)
RAR max RES:  tensor(0.9363)
e1net best epoch: 11785 , loss: tensor(0.0520) ,ic: tensor(0.0060) ,res: tensor(0.0036) ,res freq: tensor(0.0056)
RAR max IC:  tensor(0.3327)
RAR max RES:  tensor(0.8113)
e1net best epoch: 12616 , loss: tensor(0.0493) ,ic: tensor(0.0056) ,res: tensor(0.0034) ,res freq: tensor(0.0053)
RAR max IC:  tensor(0.2570)
RAR max RES:  tensor(0.7804)
e1net best epoch: 13569 , loss: tensor(0.0468) ,ic: tensor(0.0048) ,res: tensor(0.0034) ,res freq: tensor(0.0050)
RAR max IC:  tensor(0.2719)
RAR max RES:  tensor(0.7131)
e1net best epoch: 14362 , loss: tensor(0.0442) ,ic: tensor(0.0048) ,res: tensor(0.0032) ,res freq: tensor(0.0047)
RAR max IC:  tensor(0.2716)
RAR max RES:  tensor(0.7006)
e1_net train complete
best epoch:  14362 , loss: tensor(0.0442) , train time: 3660.866019964218
[complete 2d nonlinear]

