tensorlayer
what's the meaning that g_loss(mse:0.000, vgg:0.000, adv:0.001) ??? Is this seems training goes worng?
Epoch: [47/100] step: [79/250] time: 2.377s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.387 Epoch: [47/100] step: [80/250] time: 2.375s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.389 Epoch: [47/100] step: [81/250] time: 2.386s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.386 Epoch: [47/100] step: [82/250] time: 2.396s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.387 Epoch: [47/100] step: [83/250] time: 2.364s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.386 Epoch: [47/100] step: [84/250] time: 2.368s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.388 Epoch: [47/100] step: [85/250] time: 2.367s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.387 Epoch: [47/100] step: [86/250] time: 2.358s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.387 Epoch: [47/100] step: [87/250] time: 2.382s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.387 Epoch: [48/100] step: [0/250] time: 2.408s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.391 Epoch: [48/100] step: [1/250] time: 2.404s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.386 Epoch: [48/100] step: [2/250] time: 2.413s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.388 Epoch: [48/100] step: [3/250] time: 2.399s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.386 Epoch: [48/100] step: [4/250] time: 2.395s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.388 Epoch: [48/100] step: [5/250] time: 2.422s, g_loss(mse:0.000, vgg:0.000, adv:0.001) d_loss: 1.387
you should see the image the code block below save and know whether right or not
