AttributeError: InstaGANModel instance has no attribute 'fake_B_img_sng'

[YShoun]

Hello,

I am trying to train on the jean2skirt dataset and after the following train command:
python train.py --dataroot ./datasets/jeans2skirt_ccp --model insta_gan --name jeans2skirt_ccp_instagan --loadSizeH 330 --loadSizeW 220 --fineSizeH 30 --fineSizeW 20 --gpu_ids -1

I get the following error:

----------------- Options ---------------
               batch_size: 1                             
                    beta1: 0.5                           
          checkpoints_dir: ./checkpoints                 
           continue_train: False                         
                 dataroot: ./datasets/jeans2skirt_ccp    	[default: None]
             dataset_mode: unaligned_seg                 
                direction: AtoB                          
              display_env: main                          
             display_freq: 400                           
               display_id: 1                             
            display_ncols: 6                             
             display_port: 8097                          
           display_server: http://localhost              
          display_winsize: 256                           
                    epoch: latest                        
              epoch_count: 1                             
                fineSizeH: 30                            	[default: 20]
                fineSizeW: 20                            	[default: 32]
                  gpu_ids: -1                            	[default: 0]
                init_gain: 0.02                          
                init_type: normal                        
                 input_nc: 3                             
                  ins_max: 4                             
                  ins_per: 2                             
                  isTrain: True                          	[default: None]
                 lambda_A: 10.0                          
                 lambda_B: 10.0                          
               lambda_ctx: 1.0                           
               lambda_idt: 1.0                           
                loadSizeH: 330                           	[default: 100]
                loadSizeW: 220                           	[default: 100]
                load_iter: 0                             	[default: 0]
                       lr: 0.0002                        
           lr_decay_iters: 50                            
                lr_policy: lambda                        
         max_dataset_size: inf                           
                    model: insta_gan                     
               n_layers_D: 3                             
                     name: jeans2skirt_ccp_instagan      	[default: experiment_name]
                      ndf: 64                            
                     netD: set                           
                     netG: set                           
                      ngf: 64                            
                    niter: 100                           
              niter_decay: 100                           
               no_dropout: True                          
                  no_flip: False                         
                  no_html: False                         
                 no_lsgan: False                         
                     norm: instance                      
              num_threads: 4                             
                output_nc: 3                             
                    phase: train                         
                pool_size: 50                            
               print_freq: 100                           
           resize_or_crop: resize_and_crop               
             save_by_iter: False                         
          save_epoch_freq: 5                             
         save_latest_freq: 5000                          
           serial_batches: False                         
                set_order: decreasing                    
                   suffix:                               
         update_html_freq: 1000                          
                  verbose: False                         
----------------- End -------------------
dataset [UnalignedSegDataset] was created
#training images = 167
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
model [InstaGANModel] was created
---------- Networks initialized -------------
[Network G_A] Total number of parameters : 26.815 M
[Network G_B] Total number of parameters : 26.815 M
[Network D_A] Total number of parameters : 9.754 M
[Network D_B] Total number of parameters : 9.754 M
-----------------------------------------------
create web directory ./checkpoints/jeans2skirt_ccp_instagan/web...
Traceback (most recent call last):
  File "train.py", line 32, in <module>
    model.optimize_parameters()
  File "/home/ysn/instagan/models/insta_gan_model.py", line 295, in optimize_parameters
    self.real_A_img_sng = self.fake_B_img_sng.detach()
AttributeError: InstaGANModel instance has no attribute 'fake_B_img_sng'

If I increase the fineSize, I get a CUDA memory error.
Any help would be welcome.

Thank you