Epoch: 108 Step: 456 time: 0.595382 s d_loss: 11.78779125, g_loss: 1069.37170410 -- mean_d_loss: 15.22266197, mean_g_loss: 1128.97387695
Epoch: 108 Step: 457 time: 0.598991 s d_loss: 21.59355354, g_loss: 1145.24707031 -- mean_d_loss: 15.33250523, mean_g_loss: 1129.25439453
Epoch: 108 Step: 458 time: 0.592521 s d_loss: 6.78862953, g_loss: 1130.46630859 -- mean_d_loss: 15.18769360, mean_g_loss: 1129.27490234
Epoch: 108 Step: 459 time: 0.594440 s d_loss: 1.89800203, g_loss: 1081.30371094 -- mean_d_loss: 14.96619892, mean_g_loss: 1128.47534180
Epoch: 108 Step: 460 time: 0.595921 s d_loss: 65.07347870, g_loss: 1352.42736816 -- mean_d_loss: 15.78763008, mean_g_loss: 1132.14672852
Epoch: 108 Step: 461 time: 0.595723 s d_loss: 60.10780716, g_loss: 1378.10986328 -- mean_d_loss: 16.50247002, mean_g_loss: 1136.11389160
Epoch: 108 Step: 462 time: 0.596035 s d_loss: 2.82108736, g_loss: 1654.43518066 -- mean_d_loss: 16.28530502, mean_g_loss: 1144.34130859
Epoch: 108 Step: 463 time: 0.595019 s d_loss: 2.04391837, g_loss: 857.95996094 -- mean_d_loss: 16.06278419, mean_g_loss: 1139.86657715
Epoch: 108 Step: 464 time: 0.596555 s d_loss: 10.40408993, g_loss: 1090.06201172 -- mean_d_loss: 15.97572708, mean_g_loss: 1139.10034180
Epoch: 108 Step: 465 time: 0.595400 s d_loss: 7.73724365, g_loss: 965.87994385 -- mean_d_loss: 15.85090065, mean_g_loss: 1136.47583008
The g_loss is relatively large and does not decrease steadily. Is this normal? what's your training process looks like? thank you.