save epoch: 0 ,loss: tensor(51939.4883) ,ic: tensor(137.0758) ,res: tensor(7502.8813) res grad: tensor(2857.6013)
RAR max IC:  tensor(21.4948)
RAR max RES: tensor(305.3278)
save epoch: 1 ,loss: tensor(42872.8164) ,ic: tensor(113.7067) ,res: tensor(6220.8931) res grad: tensor(2330.9297)
save epoch: 2 ,loss: tensor(32878.3203) ,ic: tensor(91.9357) ,res: tensor(4758.4214) res grad: tensor(1798.8550)
save epoch: 3 ,loss: tensor(24452.6777) ,ic: tensor(73.2244) ,res: tensor(3527.9275) res grad: tensor(1347.9629)
save epoch: 4 ,loss: tensor(17513.1523) ,ic: tensor(57.3610) ,res: tensor(2516.3215) res grad: tensor(974.8365)
save epoch: 5 ,loss: tensor(11965.4648) ,ic: tensor(44.1151) ,res: tensor(1709.0221) res grad: tensor(675.2479)
save epoch: 6 ,loss: tensor(7700.7388) ,ic: tensor(33.2511) ,res: tensor(1089.7917) res grad: tensor(443.7057)
save epoch: 7 ,loss: tensor(4592.3325) ,ic: tensor(24.5307) ,res: tensor(640.4077) res grad: tensor(273.1526)
save epoch: 8 ,loss: tensor(2499.6396) ,ic: tensor(17.7119) ,res: tensor(340.6598) res grad: tensor(155.7258)
save epoch: 9 ,loss: tensor(1254.5782) ,ic: tensor(12.5424) ,res: tensor(165.2068) res grad: tensor(83.2003)
save epoch: 10 ,loss: tensor(611.6090) ,ic: tensor(8.7480) ,res: tensor(77.2367) res grad: tensor(43.3355)
save epoch: 11 ,loss: tensor(298.0564) ,ic: tensor(6.0363) ,res: tensor(36.4284) res grad: tensor(21.9756)
save epoch: 12 ,loss: tensor(143.5438) ,ic: tensor(4.1365) ,res: tensor(17.2354) res grad: tensor(10.6460)
save epoch: 13 ,loss: tensor(68.4404) ,ic: tensor(2.8300) ,res: tensor(8.1102) res grad: tensor(5.0119)
save epoch: 14 ,loss: tensor(32.8851) ,ic: tensor(1.9498) ,res: tensor(3.8197) res grad: tensor(2.3673)
save epoch: 15 ,loss: tensor(16.2706) ,ic: tensor(1.3676) ,res: tensor(1.8293) res grad: tensor(1.1513)
save epoch: 16 ,loss: tensor(8.4778) ,ic: tensor(0.9860) ,res: tensor(0.9100) res grad: tensor(0.5884)
save epoch: 17 ,loss: tensor(4.7480) ,ic: tensor(0.7349) ,res: tensor(0.4804) res grad: tensor(0.3222)
save epoch: 18 ,loss: tensor(2.8926) ,ic: tensor(0.5670) ,res: tensor(0.2732) res grad: tensor(0.1919)
save epoch: 19 ,loss: tensor(1.9172) ,ic: tensor(0.4518) ,res: tensor(0.1682) res grad: tensor(0.1249)
save epoch: 20 ,loss: tensor(1.3693) ,ic: tensor(0.3707) ,res: tensor(0.1115) res grad: tensor(0.0882)
save epoch: 21 ,loss: tensor(1.0400) ,ic: tensor(0.3119) ,res: tensor(0.0790) res grad: tensor(0.0666)
save epoch: 22 ,loss: tensor(0.8289) ,ic: tensor(0.2683) ,res: tensor(0.0590) res grad: tensor(0.0531)
save epoch: 23 ,loss: tensor(0.6859) ,ic: tensor(0.2353) ,res: tensor(0.0461) res grad: tensor(0.0441)
save epoch: 24 ,loss: tensor(0.5843) ,ic: tensor(0.2097) ,res: tensor(0.0372) res grad: tensor(0.0377)
save epoch: 25 ,loss: tensor(0.5095) ,ic: tensor(0.1896) ,res: tensor(0.0310) res grad: tensor(0.0330)
save epoch: 26 ,loss: tensor(0.4525) ,ic: tensor(0.1736) ,res: tensor(0.0264) res grad: tensor(0.0294)
save epoch: 27 ,loss: tensor(0.4080) ,ic: tensor(0.1606) ,res: tensor(0.0229) res grad: tensor(0.0266)
save epoch: 28 ,loss: tensor(0.3725) ,ic: tensor(0.1500) ,res: tensor(0.0202) res grad: tensor(0.0243)
save epoch: 29 ,loss: tensor(0.3437) ,ic: tensor(0.1413) ,res: tensor(0.0180) res grad: tensor(0.0225)
save epoch: 30 ,loss: tensor(0.3200) ,ic: tensor(0.1339) ,res: tensor(0.0163) res grad: tensor(0.0209)
save epoch: 31 ,loss: tensor(0.3002) ,ic: tensor(0.1278) ,res: tensor(0.0148) res grad: tensor(0.0196)
save epoch: 32 ,loss: tensor(0.2836) ,ic: tensor(0.1225) ,res: tensor(0.0137) res grad: tensor(0.0185)
save epoch: 33 ,loss: tensor(0.2693) ,ic: tensor(0.1181) ,res: tensor(0.0127) res grad: tensor(0.0176)
save epoch: 35 ,loss: tensor(0.2466) ,ic: tensor(0.1109) ,res: tensor(0.0111) res grad: tensor(0.0160)
save epoch: 37 ,loss: tensor(0.2293) ,ic: tensor(0.1054) ,res: tensor(0.0100) res grad: tensor(0.0148)
save epoch: 39 ,loss: tensor(0.2159) ,ic: tensor(0.1012) ,res: tensor(0.0091) res grad: tensor(0.0138)
save epoch: 42 ,loss: tensor(0.2007) ,ic: tensor(0.0964) ,res: tensor(0.0081) res grad: tensor(0.0127)
save epoch: 45 ,loss: tensor(0.1895) ,ic: tensor(0.0929) ,res: tensor(0.0074) res grad: tensor(0.0119)
save epoch: 49 ,loss: tensor(0.1785) ,ic: tensor(0.0895) ,res: tensor(0.0068) res grad: tensor(0.0111)
save epoch: 54 ,loss: tensor(0.1686) ,ic: tensor(0.0864) ,res: tensor(0.0062) res grad: tensor(0.0103)
save epoch: 60 ,loss: tensor(0.1598) ,ic: tensor(0.0836) ,res: tensor(0.0057) res grad: tensor(0.0096)
save epoch: 67 ,loss: tensor(0.1515) ,ic: tensor(0.0809) ,res: tensor(0.0052) res grad: tensor(0.0089)
save epoch: 75 ,loss: tensor(0.1431) ,ic: tensor(0.0781) ,res: tensor(0.0048) res grad: tensor(0.0082)
save epoch: 83 ,loss: tensor(0.1350) ,ic: tensor(0.0754) ,res: tensor(0.0044) res grad: tensor(0.0075)
save epoch: 90 ,loss: tensor(0.1280) ,ic: tensor(0.0731) ,res: tensor(0.0040) res grad: tensor(0.0070)
save epoch: 97 ,loss: tensor(0.1211) ,ic: tensor(0.0709) ,res: tensor(0.0036) res grad: tensor(0.0064)
RAR max IC:  tensor(0.8821)
RAR max RES: tensor(0.2541)
save epoch: 109 ,loss: tensor(0.1144) ,ic: tensor(0.0707) ,res: tensor(0.0032) res grad: tensor(0.0055)
save epoch: 116 ,loss: tensor(0.1082) ,ic: tensor(0.0688) ,res: tensor(0.0029) res grad: tensor(0.0050)
save epoch: 123 ,loss: tensor(0.1025) ,ic: tensor(0.0671) ,res: tensor(0.0025) res grad: tensor(0.0045)
save epoch: 131 ,loss: tensor(0.0967) ,ic: tensor(0.0654) ,res: tensor(0.0022) res grad: tensor(0.0041)
save epoch: 139 ,loss: tensor(0.0917) ,ic: tensor(0.0641) ,res: tensor(0.0019) res grad: tensor(0.0036)
save epoch: 148 ,loss: tensor(0.0870) ,ic: tensor(0.0629) ,res: tensor(0.0016) res grad: tensor(0.0032)
save epoch: 159 ,loss: tensor(0.0824) ,ic: tensor(0.0618) ,res: tensor(0.0013) res grad: tensor(0.0028)
save epoch: 173 ,loss: tensor(0.0780) ,ic: tensor(0.0609) ,res: tensor(0.0011) res grad: tensor(0.0023)
save epoch: 191 ,loss: tensor(0.0741) ,ic: tensor(0.0603) ,res: tensor(0.0009) res grad: tensor(0.0019)
RAR max IC:  tensor(0.9093)
RAR max RES: tensor(0.1006)
save epoch: 278 ,loss: tensor(0.0704) ,ic: tensor(0.0631) ,res: tensor(0.0005) res grad: tensor(0.0010)
RAR max IC:  tensor(0.9161)
RAR max RES: tensor(0.0851)
save epoch: 992 ,loss: tensor(0.0668) ,ic: tensor(0.0621) ,res: tensor(0.0005) res grad: tensor(0.0005)
RAR max IC:  tensor(0.8934)
RAR max RES: tensor(0.1124)
save epoch: 2158 ,loss: tensor(0.0635) ,ic: tensor(0.0509) ,res: tensor(0.0012) res grad: tensor(0.0013)
RAR max IC:  tensor(0.7988)
RAR max RES: tensor(0.2119)
save epoch: 2736 ,loss: tensor(0.0603) ,ic: tensor(0.0443) ,res: tensor(0.0016) res grad: tensor(0.0016)
RAR max IC:  tensor(0.7120)
RAR max RES: tensor(0.1847)
save epoch: 2904 ,loss: tensor(0.0572) ,ic: tensor(0.0390) ,res: tensor(0.0016) res grad: tensor(0.0021)
save epoch: 2946 ,loss: tensor(0.0543) ,ic: tensor(0.0355) ,res: tensor(0.0016) res grad: tensor(0.0022)
save epoch: 2979 ,loss: tensor(0.0516) ,ic: tensor(0.0323) ,res: tensor(0.0015) res grad: tensor(0.0024)
RAR max IC:  tensor(0.5909)
RAR max RES: tensor(0.1572)
save epoch: 3023 ,loss: tensor(0.0489) ,ic: tensor(0.0280) ,res: tensor(0.0015) res grad: tensor(0.0027)
save epoch: 3041 ,loss: tensor(0.0464) ,ic: tensor(0.0251) ,res: tensor(0.0014) res grad: tensor(0.0028)
save epoch: 3057 ,loss: tensor(0.0440) ,ic: tensor(0.0229) ,res: tensor(0.0014) res grad: tensor(0.0028)
save epoch: 3072 ,loss: tensor(0.0418) ,ic: tensor(0.0209) ,res: tensor(0.0014) res grad: tensor(0.0028)
save epoch: 3086 ,loss: tensor(0.0397) ,ic: tensor(0.0187) ,res: tensor(0.0013) res grad: tensor(0.0029)
save epoch: 3099 ,loss: tensor(0.0376) ,ic: tensor(0.0170) ,res: tensor(0.0013) res grad: tensor(0.0028)
RAR max IC:  tensor(0.4327)
RAR max RES: tensor(0.1281)
save epoch: 3116 ,loss: tensor(0.0356) ,ic: tensor(0.0147) ,res: tensor(0.0013) res grad: tensor(0.0029)
save epoch: 3125 ,loss: tensor(0.0338) ,ic: tensor(0.0134) ,res: tensor(0.0012) res grad: tensor(0.0028)
save epoch: 3134 ,loss: tensor(0.0319) ,ic: tensor(0.0121) ,res: tensor(0.0012) res grad: tensor(0.0028)
save epoch: 3142 ,loss: tensor(0.0302) ,ic: tensor(0.0110) ,res: tensor(0.0011) res grad: tensor(0.0027)
save epoch: 3150 ,loss: tensor(0.0285) ,ic: tensor(0.0099) ,res: tensor(0.0011) res grad: tensor(0.0027)
save epoch: 3158 ,loss: tensor(0.0269) ,ic: tensor(0.0088) ,res: tensor(0.0010) res grad: tensor(0.0026)
save epoch: 3165 ,loss: tensor(0.0255) ,ic: tensor(0.0080) ,res: tensor(0.0009) res grad: tensor(0.0026)
save epoch: 3172 ,loss: tensor(0.0242) ,ic: tensor(0.0074) ,res: tensor(0.0009) res grad: tensor(0.0024)
save epoch: 3180 ,loss: tensor(0.0229) ,ic: tensor(0.0067) ,res: tensor(0.0009) res grad: tensor(0.0024)
save epoch: 3188 ,loss: tensor(0.0216) ,ic: tensor(0.0060) ,res: tensor(0.0008) res grad: tensor(0.0023)
save epoch: 3197 ,loss: tensor(0.0205) ,ic: tensor(0.0054) ,res: tensor(0.0008) res grad: tensor(0.0022)
RAR max IC:  tensor(0.2269)
RAR max RES: tensor(0.0995)
save epoch: 3216 ,loss: tensor(0.0194) ,ic: tensor(0.0048) ,res: tensor(0.0008) res grad: tensor(0.0022)
save epoch: 3228 ,loss: tensor(0.0184) ,ic: tensor(0.0042) ,res: tensor(0.0007) res grad: tensor(0.0021)
save epoch: 3242 ,loss: tensor(0.0174) ,ic: tensor(0.0038) ,res: tensor(0.0007) res grad: tensor(0.0021)
save epoch: 3257 ,loss: tensor(0.0165) ,ic: tensor(0.0035) ,res: tensor(0.0006) res grad: tensor(0.0020)
save epoch: 3274 ,loss: tensor(0.0156) ,ic: tensor(0.0031) ,res: tensor(0.0006) res grad: tensor(0.0019)
save epoch: 3293 ,loss: tensor(0.0148) ,ic: tensor(0.0029) ,res: tensor(0.0006) res grad: tensor(0.0018)
RAR max IC:  tensor(0.1538)
RAR max RES: tensor(0.0746)
save epoch: 3319 ,loss: tensor(0.0141) ,ic: tensor(0.0026) ,res: tensor(0.0006) res grad: tensor(0.0017)
save epoch: 3342 ,loss: tensor(0.0134) ,ic: tensor(0.0023) ,res: tensor(0.0005) res grad: tensor(0.0017)
save epoch: 3368 ,loss: tensor(0.0127) ,ic: tensor(0.0021) ,res: tensor(0.0005) res grad: tensor(0.0016)
save epoch: 3396 ,loss: tensor(0.0120) ,ic: tensor(0.0019) ,res: tensor(0.0005) res grad: tensor(0.0015)
RAR max IC:  tensor(0.1196)
RAR max RES: tensor(0.0658)
save epoch: 3432 ,loss: tensor(0.0114) ,ic: tensor(0.0017) ,res: tensor(0.0005) res grad: tensor(0.0014)
save epoch: 3462 ,loss: tensor(0.0108) ,ic: tensor(0.0015) ,res: tensor(0.0005) res grad: tensor(0.0014)
save epoch: 3493 ,loss: tensor(0.0103) ,ic: tensor(0.0014) ,res: tensor(0.0005) res grad: tensor(0.0013)
RAR max IC:  tensor(0.0973)
RAR max RES: tensor(0.0608)
save epoch: 3528 ,loss: tensor(0.0098) ,ic: tensor(0.0012) ,res: tensor(0.0005) res grad: tensor(0.0012)
save epoch: 3557 ,loss: tensor(0.0093) ,ic: tensor(0.0011) ,res: tensor(0.0005) res grad: tensor(0.0012)
save epoch: 3587 ,loss: tensor(0.0088) ,ic: tensor(0.0010) ,res: tensor(0.0005) res grad: tensor(0.0011)
RAR max IC:  tensor(0.0801)
RAR max RES: tensor(0.0564)
save epoch: 3625 ,loss: tensor(0.0083) ,ic: tensor(0.0009) ,res: tensor(0.0005) res grad: tensor(0.0010)
save epoch: 3662 ,loss: tensor(0.0079) ,ic: tensor(0.0008) ,res: tensor(0.0004) res grad: tensor(0.0010)
RAR max IC:  tensor(0.0694)
RAR max RES: tensor(0.0553)
save epoch: 3711 ,loss: tensor(0.0075) ,ic: tensor(0.0008) ,res: tensor(0.0004) res grad: tensor(0.0009)
save epoch: 3758 ,loss: tensor(0.0071) ,ic: tensor(0.0007) ,res: tensor(0.0004) res grad: tensor(0.0009)
RAR max IC:  tensor(0.0559)
RAR max RES: tensor(0.0548)
save epoch: 3820 ,loss: tensor(0.0068) ,ic: tensor(0.0005) ,res: tensor(0.0004) res grad: tensor(0.0008)
save epoch: 3879 ,loss: tensor(0.0064) ,ic: tensor(0.0005) ,res: tensor(0.0004) res grad: tensor(0.0008)
RAR max IC:  tensor(0.0558)
RAR max RES: tensor(0.0523)
save epoch: 3963 ,loss: tensor(0.0061) ,ic: tensor(0.0005) ,res: tensor(0.0004) res grad: tensor(0.0007)
RAR max IC:  tensor(0.0529)
RAR max RES: tensor(0.0504)
save epoch: 4059 ,loss: tensor(0.0058) ,ic: tensor(0.0004) ,res: tensor(0.0004) res grad: tensor(0.0007)
RAR max IC:  tensor(0.0487)
RAR max RES: tensor(0.0482)
save epoch: 4175 ,loss: tensor(0.0055) ,ic: tensor(0.0004) ,res: tensor(0.0004) res grad: tensor(0.0006)
RAR max IC:  tensor(0.0488)
RAR max RES: tensor(0.0459)
save epoch: 4304 ,loss: tensor(0.0052) ,ic: tensor(0.0004) ,res: tensor(0.0004) res grad: tensor(0.0006)
RAR max IC:  tensor(0.0485)
RAR max RES: tensor(0.0439)
save epoch: 4443 ,loss: tensor(0.0050) ,ic: tensor(0.0003) ,res: tensor(0.0004) res grad: tensor(0.0006)
RAR max IC:  tensor(0.0415)
RAR max RES: tensor(0.0442)
save epoch: 4597 ,loss: tensor(0.0047) ,ic: tensor(0.0003) ,res: tensor(0.0003) res grad: tensor(0.0005)
RAR max IC:  tensor(0.0412)
RAR max RES: tensor(0.0439)
save epoch: 4764 ,loss: tensor(0.0045) ,ic: tensor(0.0003) ,res: tensor(0.0003) res grad: tensor(0.0005)
RAR max IC:  tensor(0.0426)
RAR max RES: tensor(0.0435)
save epoch: 4950 ,loss: tensor(0.0042) ,ic: tensor(0.0002) ,res: tensor(0.0003) res grad: tensor(0.0005)
RAR max IC:  tensor(0.0433)
RAR max RES: tensor(0.0424)
save epoch: 5121 ,loss: tensor(0.0040) ,ic: tensor(0.0003) ,res: tensor(0.0003) res grad: tensor(0.0005)
RAR max IC:  tensor(0.0430)
RAR max RES: tensor(0.0408)
save epoch: 5309 ,loss: tensor(0.0038) ,ic: tensor(0.0002) ,res: tensor(0.0003) res grad: tensor(0.0004)
RAR max IC:  tensor(0.0427)
RAR max RES: tensor(0.0388)
save epoch: 5483 ,loss: tensor(0.0036) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0004)
RAR max IC:  tensor(0.0434)
RAR max RES: tensor(0.0375)
save epoch: 5659 ,loss: tensor(0.0034) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0004)
RAR max IC:  tensor(0.0417)
RAR max RES: tensor(0.0363)
save epoch: 5870 ,loss: tensor(0.0032) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0004)
RAR max IC:  tensor(0.0418)
RAR max RES: tensor(0.0353)
save epoch: 6144 ,loss: tensor(0.0031) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0004)
RAR max IC:  tensor(0.0440)
RAR max RES: tensor(0.0349)
save epoch: 6489 ,loss: tensor(0.0029) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0003)
RAR max IC:  tensor(0.0429)
RAR max RES: tensor(0.0359)
save epoch: 7067 ,loss: tensor(0.0028) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0003)
RAR max IC:  tensor(0.0434)
RAR max RES: tensor(0.0350)
save epoch: 7498 ,loss: tensor(0.0026) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0003)
RAR max IC:  tensor(0.0430)
RAR max RES: tensor(0.0342)
save epoch: 7945 ,loss: tensor(0.0025) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0003)
RAR max IC:  tensor(0.0444)
RAR max RES: tensor(0.0331)
save epoch: 8436 ,loss: tensor(0.0024) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0003)
RAR max IC:  tensor(0.0430)
RAR max RES: tensor(0.0315)
save epoch: 8974 ,loss: tensor(0.0023) ,ic: tensor(0.0003) ,res: tensor(0.0002) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0415)
RAR max RES: tensor(0.0309)
save epoch: 9799 ,loss: tensor(0.0022) ,ic: tensor(0.0002) ,res: tensor(0.0002) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0453)
RAR max RES: tensor(0.0287)
save epoch: 10578 ,loss: tensor(0.0020) ,ic: tensor(0.0003) ,res: tensor(0.0001) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0442)
RAR max RES: tensor(0.0270)
save epoch: 11393 ,loss: tensor(0.0019) ,ic: tensor(0.0003) ,res: tensor(0.0001) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0456)
RAR max RES: tensor(0.0252)
save epoch: 12000 ,loss: tensor(0.0018) ,ic: tensor(0.0003) ,res: tensor(0.0001) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0454)
RAR max RES: tensor(0.0241)
save epoch: 12391 ,loss: tensor(0.0017) ,ic: tensor(0.0003) ,res: tensor(0.0001) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0451)
RAR max RES: tensor(0.0241)
save epoch: 12850 ,loss: tensor(0.0017) ,ic: tensor(0.0003) ,res: tensor(9.9823e-05) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0437)
RAR max RES: tensor(0.0236)
save epoch: 13420 ,loss: tensor(0.0016) ,ic: tensor(0.0003) ,res: tensor(9.2516e-05) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0432)
RAR max RES: tensor(0.0239)
save epoch: 14102 ,loss: tensor(0.0015) ,ic: tensor(0.0003) ,res: tensor(8.3987e-05) res grad: tensor(0.0002)
RAR max IC:  tensor(0.0438)
RAR max RES: tensor(0.0221)
save epoch: 14531 ,loss: tensor(0.0014) ,ic: tensor(0.0003) ,res: tensor(7.5906e-05) res grad: tensor(0.0001)
RAR max IC:  tensor(0.0429)
RAR max RES: tensor(0.0249)
save epoch: 14981 ,loss: tensor(0.0014) ,ic: tensor(0.0003) ,res: tensor(6.5464e-05) res grad: tensor(0.0001)
[p_net train complete]
p_net best epoch:  14981 , loss: tensor(0.0014) , train time:  718.627304315567
e1net best epoch: 0 , loss: tensor(4683.0103) ,ic: tensor(8.2498) ,res: tensor(703.6317) ,res grad: tensor(231.3204)
RAR max IC:  tensor(5.8715)
RAR max RES:  tensor(92.9618)
e1net best epoch: 1 , loss: tensor(2200.8730) ,ic: tensor(3.7945) ,res: tensor(337.6750) ,res grad: tensor(101.7407)
e1net best epoch: 2 , loss: tensor(999.9607) ,ic: tensor(1.7779) ,res: tensor(153.5084) ,res grad: tensor(46.1282)
e1net best epoch: 3 , loss: tensor(624.3287) ,ic: tensor(1.2343) ,res: tensor(92.3525) ,res grad: tensor(32.2664)
e1net best epoch: 4 , loss: tensor(457.6562) ,ic: tensor(1.0436) ,res: tensor(65.8278) ,res grad: tensor(25.4947)
e1net best epoch: 5 , loss: tensor(359.8914) ,ic: tensor(0.9054) ,res: tensor(51.7708) ,res grad: tensor(20.0264)
e1net best epoch: 6 , loss: tensor(320.5202) ,ic: tensor(0.7910) ,res: tensor(46.7056) ,res grad: tensor(17.2402)
e1net best epoch: 11 , loss: tensor(302.9682) ,ic: tensor(0.3656) ,res: tensor(40.2354) ,res grad: tensor(20.2851)
e1net best epoch: 12 , loss: tensor(261.8176) ,ic: tensor(0.3081) ,res: tensor(33.9119) ,res grad: tensor(18.3900)
e1net best epoch: 13 , loss: tensor(209.4386) ,ic: tensor(0.2544) ,res: tensor(26.4581) ,res grad: tensor(15.3787)
e1net best epoch: 14 , loss: tensor(154.7572) ,ic: tensor(0.2073) ,res: tensor(19.0524) ,res grad: tensor(11.8576)
e1net best epoch: 15 , loss: tensor(106.4041) ,ic: tensor(0.1711) ,res: tensor(12.7889) ,res grad: tensor(8.4577)
e1net best epoch: 16 , loss: tensor(70.2427) ,ic: tensor(0.1497) ,res: tensor(8.3636) ,res grad: tensor(5.6550)
e1net best epoch: 17 , loss: tensor(48.4525) ,ic: tensor(0.1457) ,res: tensor(5.9654) ,res grad: tensor(3.6960)
e1net best epoch: 18 , loss: tensor(40.5393) ,ic: tensor(0.1607) ,res: tensor(5.4235) ,res grad: tensor(2.6522)
e1net best epoch: 26 , loss: tensor(25.5112) ,ic: tensor(0.2083) ,res: tensor(3.6492) ,res grad: tensor(1.4114)
e1net best epoch: 27 , loss: tensor(12.5410) ,ic: tensor(0.1707) ,res: tensor(1.7639) ,res grad: tensor(0.7102)
e1net best epoch: 28 , loss: tensor(5.8735) ,ic: tensor(0.1427) ,res: tensor(0.7432) ,res grad: tensor(0.4030)
e1net best epoch: 29 , loss: tensor(4.2408) ,ic: tensor(0.1242) ,res: tensor(0.4253) ,res grad: tensor(0.3980)
e1net best epoch: 41 , loss: tensor(3.0519) ,ic: tensor(0.1006) ,res: tensor(0.2266) ,res grad: tensor(0.3636)
e1net best epoch: 42 , loss: tensor(2.1907) ,ic: tensor(0.1004) ,res: tensor(0.1491) ,res grad: tensor(0.2689)
e1net best epoch: 53 , loss: tensor(2.0294) ,ic: tensor(0.0990) ,res: tensor(0.1983) ,res grad: tensor(0.1878)
e1net best epoch: 54 , loss: tensor(1.5089) ,ic: tensor(0.0980) ,res: tensor(0.1148) ,res grad: tensor(0.1674)
e1net best epoch: 55 , loss: tensor(1.2844) ,ic: tensor(0.0975) ,res: tensor(0.0746) ,res grad: tensor(0.1628)
e1net best epoch: 66 , loss: tensor(1.1275) ,ic: tensor(0.0978) ,res: tensor(0.0654) ,res grad: tensor(0.1406)
e1net best epoch: 67 , loss: tensor(1.0233) ,ic: tensor(0.0980) ,res: tensor(0.0558) ,res grad: tensor(0.1293)
e1net best epoch: 77 , loss: tensor(0.9253) ,ic: tensor(0.0974) ,res: tensor(0.0574) ,res grad: tensor(0.1082)
e1net best epoch: 78 , loss: tensor(0.8575) ,ic: tensor(0.0974) ,res: tensor(0.0466) ,res grad: tensor(0.1054)
e1net best epoch: 79 , loss: tensor(0.8115) ,ic: tensor(0.0974) ,res: tensor(0.0391) ,res grad: tensor(0.1037)
e1net best epoch: 88 , loss: tensor(0.7550) ,ic: tensor(0.0986) ,res: tensor(0.0342) ,res grad: tensor(0.0971)
e1net best epoch: 90 , loss: tensor(0.7046) ,ic: tensor(0.0987) ,res: tensor(0.0290) ,res grad: tensor(0.0922)
e1net best epoch: 98 , loss: tensor(0.6643) ,ic: tensor(0.0993) ,res: tensor(0.0284) ,res grad: tensor(0.0846)
RAR max IC:  tensor(0.9819)
RAR max RES:  tensor(0.4978)
e1net best epoch: 106 , loss: tensor(0.6294) ,ic: tensor(0.1050) ,res: tensor(0.0253) ,res grad: tensor(0.0796)
e1net best epoch: 113 , loss: tensor(0.5960) ,ic: tensor(0.1052) ,res: tensor(0.0229) ,res grad: tensor(0.0753)
e1net best epoch: 124 , loss: tensor(0.5652) ,ic: tensor(0.1057) ,res: tensor(0.0212) ,res grad: tensor(0.0707)
e1net best epoch: 139 , loss: tensor(0.5362) ,ic: tensor(0.1079) ,res: tensor(0.0197) ,res grad: tensor(0.0660)
e1net best epoch: 164 , loss: tensor(0.5091) ,ic: tensor(0.1112) ,res: tensor(0.0179) ,res grad: tensor(0.0617)
RAR max IC:  tensor(1.0197)
RAR max RES:  tensor(0.4483)
e1net best epoch: 224 , loss: tensor(0.4835) ,ic: tensor(0.1160) ,res: tensor(0.0168) ,res grad: tensor(0.0567)
RAR max IC:  tensor(1.0126)
RAR max RES:  tensor(0.4012)
e1net best epoch: 345 , loss: tensor(0.4591) ,ic: tensor(0.1203) ,res: tensor(0.0159) ,res grad: tensor(0.0518)
RAR max IC:  tensor(1.0139)
RAR max RES:  tensor(0.3623)
e1net best epoch: 502 , loss: tensor(0.4361) ,ic: tensor(0.1232) ,res: tensor(0.0153) ,res grad: tensor(0.0473)
e1net best epoch: 555 , loss: tensor(0.4140) ,ic: tensor(0.1237) ,res: tensor(0.0138) ,res grad: tensor(0.0443)
RAR max IC:  tensor(0.9968)
RAR max RES:  tensor(0.3627)
e1net best epoch: 705 , loss: tensor(0.3931) ,ic: tensor(0.1240) ,res: tensor(0.0129) ,res grad: tensor(0.0409)
RAR max IC:  tensor(0.9779)
RAR max RES:  tensor(0.3662)
e1net best epoch: 897 , loss: tensor(0.3730) ,ic: tensor(0.1252) ,res: tensor(0.0115) ,res grad: tensor(0.0381)
RAR max IC:  tensor(0.9743)
RAR max RES:  tensor(0.3498)
e1net best epoch: 979 , loss: tensor(0.3544) ,ic: tensor(0.1275) ,res: tensor(0.0099) ,res grad: tensor(0.0355)
RAR max IC:  tensor(0.9687)
RAR max RES:  tensor(0.3192)
e1net best epoch: 1032 , loss: tensor(0.3351) ,ic: tensor(0.1293) ,res: tensor(0.0084) ,res grad: tensor(0.0327)
e1net best epoch: 1062 , loss: tensor(0.3178) ,ic: tensor(0.1283) ,res: tensor(0.0072) ,res grad: tensor(0.0307)
e1net best epoch: 1084 , loss: tensor(0.3015) ,ic: tensor(0.1275) ,res: tensor(0.0061) ,res grad: tensor(0.0287)
RAR max IC:  tensor(0.9712)
RAR max RES:  tensor(0.2440)
e1net best epoch: 1198 , loss: tensor(0.2861) ,ic: tensor(0.1282) ,res: tensor(0.0035) ,res grad: tensor(0.0281)
RAR max IC:  tensor(0.9562)
RAR max RES:  tensor(0.2716)
e1net best epoch: 1396 , loss: tensor(0.2717) ,ic: tensor(0.1284) ,res: tensor(0.0027) ,res grad: tensor(0.0260)
RAR max IC:  tensor(0.9632)
RAR max RES:  tensor(0.2044)
e1net best epoch: 1506 , loss: tensor(0.2574) ,ic: tensor(0.1278) ,res: tensor(0.0026) ,res grad: tensor(0.0234)
e1net best epoch: 1561 , loss: tensor(0.2445) ,ic: tensor(0.1230) ,res: tensor(0.0024) ,res grad: tensor(0.0219)
RAR max IC:  tensor(0.9553)
RAR max RES:  tensor(0.3704)
e1net best epoch: 1917 , loss: tensor(0.2322) ,ic: tensor(0.1260) ,res: tensor(0.0018) ,res grad: tensor(0.0195)
RAR max IC:  tensor(0.9472)
RAR max RES:  tensor(0.2363)
e1net best epoch: 2162 , loss: tensor(0.2205) ,ic: tensor(0.1241) ,res: tensor(0.0015) ,res grad: tensor(0.0178)
RAR max IC:  tensor(0.9478)
RAR max RES:  tensor(0.1787)
e1net best epoch: 2547 , loss: tensor(0.2094) ,ic: tensor(0.1214) ,res: tensor(0.0012) ,res grad: tensor(0.0164)
RAR max IC:  tensor(0.9361)
RAR max RES:  tensor(0.3535)
e1net best epoch: 2879 , loss: tensor(0.1989) ,ic: tensor(0.1161) ,res: tensor(0.0010) ,res grad: tensor(0.0156)
RAR max IC:  tensor(0.8842)
RAR max RES:  tensor(0.1802)
e1net best epoch: 3081 , loss: tensor(0.1889) ,ic: tensor(0.1091) ,res: tensor(0.0010) ,res grad: tensor(0.0149)
RAR max IC:  tensor(0.8209)
RAR max RES:  tensor(0.1421)
e1net best epoch: 3212 , loss: tensor(0.1794) ,ic: tensor(0.1011) ,res: tensor(0.0010) ,res grad: tensor(0.0146)
RAR max IC:  tensor(0.7109)
RAR max RES:  tensor(0.1296)
e1net best epoch: 3331 , loss: tensor(0.1703) ,ic: tensor(0.0909) ,res: tensor(0.0010) ,res grad: tensor(0.0149)
RAR max IC:  tensor(0.6682)
RAR max RES:  tensor(0.1608)
e1net best epoch: 3465 , loss: tensor(0.1617) ,ic: tensor(0.0834) ,res: tensor(0.0010) ,res grad: tensor(0.0147)
RAR max IC:  tensor(0.6461)
RAR max RES:  tensor(0.2956)
e1net best epoch: 3607 , loss: tensor(0.1536) ,ic: tensor(0.0785) ,res: tensor(0.0009) ,res grad: tensor(0.0141)
RAR max IC:  tensor(0.5710)
RAR max RES:  tensor(0.1266)
e1net best epoch: 3780 , loss: tensor(0.1459) ,ic: tensor(0.0725) ,res: tensor(0.0009) ,res grad: tensor(0.0138)
RAR max IC:  tensor(0.5862)
RAR max RES:  tensor(0.1189)
e1net best epoch: 3974 , loss: tensor(0.1379) ,ic: tensor(0.0676) ,res: tensor(0.0009) ,res grad: tensor(0.0132)
RAR max IC:  tensor(0.6078)
RAR max RES:  tensor(0.1116)
e1net best epoch: 4091 , loss: tensor(0.1310) ,ic: tensor(0.0662) ,res: tensor(0.0008) ,res grad: tensor(0.0122)
RAR max IC:  tensor(0.6167)
RAR max RES:  tensor(0.1016)
e1net best epoch: 4209 , loss: tensor(0.1243) ,ic: tensor(0.0628) ,res: tensor(0.0008) ,res grad: tensor(0.0115)
RAR max IC:  tensor(0.5989)
RAR max RES:  tensor(0.1493)
e1net best epoch: 4334 , loss: tensor(0.1179) ,ic: tensor(0.0604) ,res: tensor(0.0009) ,res grad: tensor(0.0106)
RAR max IC:  tensor(0.6126)
RAR max RES:  tensor(0.1170)
e1net best epoch: 4507 , loss: tensor(0.1119) ,ic: tensor(0.0581) ,res: tensor(0.0006) ,res grad: tensor(0.0101)
RAR max IC:  tensor(0.5878)
RAR max RES:  tensor(0.3598)
e1net best epoch: 4629 , loss: tensor(0.1058) ,ic: tensor(0.0552) ,res: tensor(0.0006) ,res grad: tensor(0.0095)
e1net best epoch: 4695 , loss: tensor(0.1005) ,ic: tensor(0.0519) ,res: tensor(0.0005) ,res grad: tensor(0.0092)
RAR max IC:  tensor(0.5624)
RAR max RES:  tensor(0.1094)
e1net best epoch: 4842 , loss: tensor(0.0953) ,ic: tensor(0.0497) ,res: tensor(0.0005) ,res grad: tensor(0.0086)
RAR max IC:  tensor(0.5332)
RAR max RES:  tensor(0.0905)
e1net best epoch: 4964 , loss: tensor(0.0904) ,ic: tensor(0.0469) ,res: tensor(0.0006) ,res grad: tensor(0.0081)
RAR max IC:  tensor(0.4712)
RAR max RES:  tensor(0.9846)
e1net best epoch: 5069 , loss: tensor(0.0859) ,ic: tensor(0.0447) ,res: tensor(0.0005) ,res grad: tensor(0.0078)
RAR max IC:  tensor(0.5019)
RAR max RES:  tensor(0.0901)
e1net best epoch: 5231 , loss: tensor(0.0816) ,ic: tensor(0.0414) ,res: tensor(0.0005) ,res grad: tensor(0.0075)
RAR max IC:  tensor(0.4742)
RAR max RES:  tensor(0.0963)
e1net best epoch: 5404 , loss: tensor(0.0774) ,ic: tensor(0.0381) ,res: tensor(0.0005) ,res grad: tensor(0.0074)
RAR max IC:  tensor(0.4421)
RAR max RES:  tensor(0.0934)
e1net best epoch: 5572 , loss: tensor(0.0734) ,ic: tensor(0.0356) ,res: tensor(0.0005) ,res grad: tensor(0.0070)
RAR max IC:  tensor(0.4278)
RAR max RES:  tensor(0.0925)
e1net best epoch: 5796 , loss: tensor(0.0692) ,ic: tensor(0.0324) ,res: tensor(0.0005) ,res grad: tensor(0.0068)
RAR max IC:  tensor(0.4005)
RAR max RES:  tensor(0.0943)
e1net best epoch: 6018 , loss: tensor(0.0656) ,ic: tensor(0.0302) ,res: tensor(0.0006) ,res grad: tensor(0.0065)
RAR max IC:  tensor(0.3775)
RAR max RES:  tensor(0.1304)
e1net best epoch: 6268 , loss: tensor(0.0623) ,ic: tensor(0.0278) ,res: tensor(0.0006) ,res grad: tensor(0.0063)
RAR max IC:  tensor(0.3612)
RAR max RES:  tensor(0.0866)
e1net best epoch: 6476 , loss: tensor(0.0589) ,ic: tensor(0.0257) ,res: tensor(0.0005) ,res grad: tensor(0.0061)
RAR max IC:  tensor(0.3490)
RAR max RES:  tensor(0.0857)
e1net best epoch: 6791 , loss: tensor(0.0558) ,ic: tensor(0.0235) ,res: tensor(0.0006) ,res grad: tensor(0.0059)
RAR max IC:  tensor(0.3263)
RAR max RES:  tensor(0.0840)
e1net best epoch: 6979 , loss: tensor(0.0530) ,ic: tensor(0.0222) ,res: tensor(0.0005) ,res grad: tensor(0.0056)
RAR max IC:  tensor(0.3158)
RAR max RES:  tensor(0.0895)
e1net best epoch: 7228 , loss: tensor(0.0503) ,ic: tensor(0.0197) ,res: tensor(0.0005) ,res grad: tensor(0.0056)
RAR max IC:  tensor(0.3017)
RAR max RES:  tensor(0.0848)
e1net best epoch: 7628 , loss: tensor(0.0476) ,ic: tensor(0.0184) ,res: tensor(0.0006) ,res grad: tensor(0.0053)
RAR max IC:  tensor(0.2879)
RAR max RES:  tensor(0.0884)
e1net best epoch: 7902 , loss: tensor(0.0452) ,ic: tensor(0.0164) ,res: tensor(0.0005) ,res grad: tensor(0.0052)
RAR max IC:  tensor(0.2695)
RAR max RES:  tensor(0.0801)
e1net best epoch: 8177 , loss: tensor(0.0429) ,ic: tensor(0.0150) ,res: tensor(0.0005) ,res grad: tensor(0.0051)
RAR max IC:  tensor(0.2530)
RAR max RES:  tensor(0.0794)
e1net best epoch: 8546 , loss: tensor(0.0406) ,ic: tensor(0.0140) ,res: tensor(0.0005) ,res grad: tensor(0.0048)
RAR max IC:  tensor(0.2140)
RAR max RES:  tensor(0.5234)
e1net best epoch: 8827 , loss: tensor(0.0385) ,ic: tensor(0.0130) ,res: tensor(0.0005) ,res grad: tensor(0.0046)
RAR max IC:  tensor(0.2358)
RAR max RES:  tensor(0.0816)
e1net best epoch: 9100 , loss: tensor(0.0366) ,ic: tensor(0.0116) ,res: tensor(0.0005) ,res grad: tensor(0.0045)
RAR max IC:  tensor(0.2231)
RAR max RES:  tensor(0.0814)
e1net best epoch: 9462 , loss: tensor(0.0348) ,ic: tensor(0.0108) ,res: tensor(0.0004) ,res grad: tensor(0.0044)
RAR max IC:  tensor(0.2544)
RAR max RES:  tensor(0.6132)
e1net best epoch: 9801 , loss: tensor(0.0330) ,ic: tensor(0.0099) ,res: tensor(0.0004) ,res grad: tensor(0.0042)
RAR max IC:  tensor(0.1934)
RAR max RES:  tensor(0.0751)
e1net best epoch: 10100 , loss: tensor(0.0313) ,ic: tensor(0.0088) ,res: tensor(0.0004) ,res grad: tensor(0.0041)
RAR max IC:  tensor(0.1863)
RAR max RES:  tensor(0.0767)
e1net best epoch: 10407 , loss: tensor(0.0298) ,ic: tensor(0.0082) ,res: tensor(0.0004) ,res grad: tensor(0.0039)
RAR max IC:  tensor(0.1842)
RAR max RES:  tensor(0.0713)
e1net best epoch: 10723 , loss: tensor(0.0282) ,ic: tensor(0.0074) ,res: tensor(0.0004) ,res grad: tensor(0.0038)
RAR max IC:  tensor(0.1729)
RAR max RES:  tensor(0.0846)
e1net best epoch: 11066 , loss: tensor(0.0267) ,ic: tensor(0.0071) ,res: tensor(0.0004) ,res grad: tensor(0.0036)
RAR max IC:  tensor(0.1533)
RAR max RES:  tensor(0.0720)
e1net best epoch: 11365 , loss: tensor(0.0254) ,ic: tensor(0.0062) ,res: tensor(0.0004) ,res grad: tensor(0.0035)
RAR max IC:  tensor(0.1396)
RAR max RES:  tensor(0.0633)
e1net best epoch: 11610 , loss: tensor(0.0239) ,ic: tensor(0.0055) ,res: tensor(0.0004) ,res grad: tensor(0.0033)
RAR max IC:  tensor(0.1533)
RAR max RES:  tensor(0.0690)
e1net best epoch: 11839 , loss: tensor(0.0227) ,ic: tensor(0.0049) ,res: tensor(0.0004) ,res grad: tensor(0.0032)
RAR max IC:  tensor(0.1289)
RAR max RES:  tensor(0.0617)
e1net best epoch: 12116 , loss: tensor(0.0216) ,ic: tensor(0.0042) ,res: tensor(0.0003) ,res grad: tensor(0.0031)
RAR max IC:  tensor(0.1244)
RAR max RES:  tensor(0.0627)
e1net best epoch: 12427 , loss: tensor(0.0204) ,ic: tensor(0.0041) ,res: tensor(0.0003) ,res grad: tensor(0.0029)
RAR max IC:  tensor(0.1351)
RAR max RES:  tensor(0.1465)
e1net best epoch: 16905 , loss: tensor(0.0193) ,ic: tensor(0.0049) ,res: tensor(0.0002) ,res grad: tensor(0.0027)
RAR max IC:  tensor(0.1445)
RAR max RES:  tensor(0.0581)
e1net best epoch: 17024 , loss: tensor(0.0183) ,ic: tensor(0.0045) ,res: tensor(0.0002) ,res grad: tensor(0.0026)
RAR max IC:  tensor(0.1353)
RAR max RES:  tensor(0.0561)
e1net best epoch: 17254 , loss: tensor(0.0174) ,ic: tensor(0.0044) ,res: tensor(0.0001) ,res grad: tensor(0.0025)
RAR max IC:  tensor(0.1391)
RAR max RES:  tensor(0.0606)
e1net best epoch: 17422 , loss: tensor(0.0165) ,ic: tensor(0.0036) ,res: tensor(0.0001) ,res grad: tensor(0.0024)
RAR max IC:  tensor(0.1336)
RAR max RES:  tensor(0.0487)
e1net best epoch: 17630 , loss: tensor(0.0156) ,ic: tensor(0.0035) ,res: tensor(0.0001) ,res grad: tensor(0.0023)
e1net best epoch: 17684 , loss: tensor(0.0148) ,ic: tensor(0.0031) ,res: tensor(0.0001) ,res grad: tensor(0.0022)
RAR max IC:  tensor(0.1406)
RAR max RES:  tensor(0.1299)
e1net best epoch: 18077 , loss: tensor(0.0140) ,ic: tensor(0.0036) ,res: tensor(0.0001) ,res grad: tensor(0.0020)
RAR max IC:  tensor(0.1381)
RAR max RES:  tensor(0.0420)
e1net best epoch: 18183 , loss: tensor(0.0133) ,ic: tensor(0.0031) ,res: tensor(0.0001) ,res grad: tensor(0.0019)
RAR max IC:  tensor(0.1224)
RAR max RES:  tensor(0.0385)
e1net best epoch: 18296 , loss: tensor(0.0127) ,ic: tensor(0.0027) ,res: tensor(0.0001) ,res grad: tensor(0.0019)
RAR max IC:  tensor(0.1084)
RAR max RES:  tensor(0.0361)
e1net best epoch: 18500 , loss: tensor(0.0119) ,ic: tensor(0.0026) ,res: tensor(0.0001) ,res grad: tensor(0.0018)
RAR max IC:  tensor(0.0999)
RAR max RES:  tensor(0.0325)
e1net best epoch: 18618 , loss: tensor(0.0113) ,ic: tensor(0.0023) ,res: tensor(9.9645e-05) ,res grad: tensor(0.0017)
RAR max IC:  tensor(0.1236)
RAR max RES:  tensor(0.2087)
e1net best epoch: 18843 , loss: tensor(0.0107) ,ic: tensor(0.0021) ,res: tensor(0.0001) ,res grad: tensor(0.0016)
RAR max IC:  tensor(0.0881)
RAR max RES:  tensor(0.0354)
e1net best epoch: 19013 , loss: tensor(0.0101) ,ic: tensor(0.0019) ,res: tensor(9.0326e-05) ,res grad: tensor(0.0015)
RAR max IC:  tensor(0.0861)
RAR max RES:  tensor(0.0580)
e1net best epoch: 19192 , loss: tensor(0.0096) ,ic: tensor(0.0017) ,res: tensor(8.6392e-05) ,res grad: tensor(0.0015)
RAR max IC:  tensor(0.0813)
RAR max RES:  tensor(0.0327)
e1net best epoch: 19466 , loss: tensor(0.0090) ,ic: tensor(0.0017) ,res: tensor(8.0123e-05) ,res grad: tensor(0.0014)
RAR max IC:  tensor(0.0727)
RAR max RES:  tensor(0.0309)
e1net best epoch: 19693 , loss: tensor(0.0085) ,ic: tensor(0.0015) ,res: tensor(7.6101e-05) ,res grad: tensor(0.0013)
RAR max IC:  tensor(0.0665)
RAR max RES:  tensor(0.0311)
e1net best epoch: 19897 , loss: tensor(0.0081) ,ic: tensor(0.0013) ,res: tensor(7.4017e-05) ,res grad: tensor(0.0013)
RAR max IC:  tensor(0.0606)
RAR max RES:  tensor(0.0284)
e1net best epoch: 20069 , loss: tensor(0.0077) ,ic: tensor(0.0012) ,res: tensor(7.2011e-05) ,res grad: tensor(0.0012)
RAR max IC:  tensor(0.0581)
RAR max RES:  tensor(0.0266)
e1net best epoch: 20340 , loss: tensor(0.0073) ,ic: tensor(0.0011) ,res: tensor(7.2158e-05) ,res grad: tensor(0.0012)
RAR max IC:  tensor(0.0808)
RAR max RES:  tensor(0.1285)
e1net best epoch: 20752 , loss: tensor(0.0069) ,ic: tensor(0.0011) ,res: tensor(6.5008e-05) ,res grad: tensor(0.0011)
RAR max IC:  tensor(0.0504)
RAR max RES:  tensor(0.0259)
e1net best epoch: 21012 , loss: tensor(0.0065) ,ic: tensor(0.0010) ,res: tensor(6.3685e-05) ,res grad: tensor(0.0010)
RAR max IC:  tensor(0.0491)
RAR max RES:  tensor(0.0257)
e1net best epoch: 21244 , loss: tensor(0.0062) ,ic: tensor(0.0009) ,res: tensor(6.1971e-05) ,res grad: tensor(0.0010)
RAR max IC:  tensor(0.0606)
RAR max RES:  tensor(0.0420)
e1net best epoch: 21723 , loss: tensor(0.0059) ,ic: tensor(0.0009) ,res: tensor(5.9992e-05) ,res grad: tensor(0.0009)
RAR max IC:  tensor(0.0649)
RAR max RES:  tensor(0.0414)
e1net best epoch: 22067 , loss: tensor(0.0056) ,ic: tensor(0.0008) ,res: tensor(5.8741e-05) ,res grad: tensor(0.0009)
RAR max IC:  tensor(0.0452)
RAR max RES:  tensor(0.0244)
e1net best epoch: 22640 , loss: tensor(0.0053) ,ic: tensor(0.0007) ,res: tensor(5.4571e-05) ,res grad: tensor(0.0009)
RAR max IC:  tensor(0.0499)
RAR max RES:  tensor(0.0507)
e1net best epoch: 23005 , loss: tensor(0.0050) ,ic: tensor(0.0007) ,res: tensor(5.1287e-05) ,res grad: tensor(0.0008)
RAR max IC:  tensor(0.0480)
RAR max RES:  tensor(0.0229)
e1net best epoch: 23441 , loss: tensor(0.0048) ,ic: tensor(0.0006) ,res: tensor(5.0672e-05) ,res grad: tensor(0.0008)
RAR max IC:  tensor(0.0443)
RAR max RES:  tensor(0.0557)
e1net best epoch: 23893 , loss: tensor(0.0045) ,ic: tensor(0.0006) ,res: tensor(4.6901e-05) ,res grad: tensor(0.0007)
RAR max IC:  tensor(0.0480)
RAR max RES:  tensor(0.0209)
e1net best epoch: 24334 , loss: tensor(0.0043) ,ic: tensor(0.0006) ,res: tensor(4.5017e-05) ,res grad: tensor(0.0007)
RAR max IC:  tensor(0.0461)
RAR max RES:  tensor(0.0226)
e1net best epoch: 24947 , loss: tensor(0.0041) ,ic: tensor(0.0006) ,res: tensor(4.2475e-05) ,res grad: tensor(0.0007)
