test

[wanghxcis]

[wanghxcis]

config parameter: max_iter: 1000000 # maximum number of training iterations batch_size: 1 # batch size weight_decay: 0.0001 # weight decay beta1: 0.5 # Adam parameter beta2: 0.999 # Adam parameter init: kaiming # initialization [gaussian/kaiming/xavier/orthogonal] lr: 0.0001 # initial learning rate lr_policy: step # learning rate scheduler step_size: 100000 # how often to decay learning rate gamma: 0.5 # how much to decay learning rate gan_w: 1.5 # weight of adversarial loss recon_x_w: 9 # weight of image reconstruction loss recon_s_w: 1 # weight of style reconstruction loss recon_c_w: 1 # weight of content reconstruction loss recon_x_cyc_w: 1 # weight of explicit style augmented cycle consistency loss vgg_w: 1 # weight of domain-invariant perceptual loss